diff --git a/.github/dependabot.yml b/.github/dependabot.yml
deleted file mode 100644
index 67b710d9..00000000
--- a/.github/dependabot.yml
+++ /dev/null
@@ -1,11 +0,0 @@
-# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
-
-version: 2
-updates:
-  - package-ecosystem: "pip"
-    directory: "/"
-    schedule:
-      interval: "daily"
-    ignore:
-      - dependency-name: "sphinx"
-      - dependency-name: "furo"
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 6e06a3e1..46e67276 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -13,11 +13,11 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-      - uses: astral-sh/setup-uv@v3.2.2
+      - uses: astral-sh/setup-uv@v5
         with:
-          version: "0.5.0"
-          python-version-file: ".python-version"
+          version: "0.5.29"
           enable-cache: true
+      - run: uv lock --check
       - run: uv sync
       - run: uv run --frozen ruff check
         if: success() || failure()
@@ -26,39 +26,83 @@ jobs:
       - run: uv run --frozen pyright
         if: success() || failure()
 
+  build-docs:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: astral-sh/setup-uv@v5
+        with:
+          version: "0.5.29"
+      - run: source ./scripts/build_docs.sh
+      - uses: actions/upload-artifact@v4
+        with:
+          name: docs-html-build
+          path: docs/_build/html
+          retention-days: 14
+
   ##
 
-  get-pytorch-versions:
+  get-python-pytorch-versions:
     runs-on: ubuntu-latest
     outputs:
-      versions: ${{ steps.get-pytorch-versions.outputs.versions }}
+      versions: ${{ steps.get-versions.outputs.versions }}
     steps:
-      - name: Get PyTorch versions
-        id: get-pytorch-versions
+      - name: "Get (Python, PyTorch) versions"
+        id: get-versions
         run: |
-          VERSIONS=$(
-            curl -s https://pypi.org/pypi/torch/json | jq -r '.releases | keys[]' |
-            # remove versions <2.0; strip "patch" from versions
-            grep -v '^1\.' | grep -E '\.[0]+$' | sort -V | sed 's/\.0$//' |
-            # to JSON array
-            jq -R . | jq -sc .
+          MIN_PYTHON_VERSION=3.9
+          MIN_PYTORCH_VERSION=2.0
+
+          # Get PyTorch versions from PyPI
+          pytorch_versions=$(
+              curl -s https://pypi.org/pypi/torch/json | jq -r '.releases | keys[]' |
+              # strip "patch" from versions
+              grep -E '\.[0]+$' | sort -V | sed 's/\.0$//'
           )
-          echo "versions=$VERSIONS" >> $GITHUB_OUTPUT
-          # e.g. ["2.0","2.1","2.2","2.3","2.4"]
+
+          # For each PyTorch version, get Python versions that have builds
+          # Generate JSON list of "python,pytorch" versions
+
+          version_matrix=()
+          for pytorch_version in $pytorch_versions; do
+            # Skip if PyTorch version less than minium
+            if [[ "$(printf '%s\n' "$pytorch_version" "$MIN_PYTORCH_VERSION" | sort -V | head -n 1)" != "$MIN_PYTORCH_VERSION" ]]; then continue; fi
+
+            python_versions=$(
+              curl -s "https://pypi.org/pypi/torch/$pytorch_version/json" |
+              jq -r '.urls[].filename | select(test("manylinux1_x86_64")) | capture("(?<cp>cp[0-9]+)-") | .cp |
+              sub("cp(?<major>[0-9])(?<minor>[0-9]+)"; "\(.major).\(.minor)")'
+            )
+
+            for python_version in $python_versions; do
+              # Skip if Python version less than minium
+              if [[ "$(printf '%s\n' "$python_version" "$MIN_PYTHON_VERSION" | sort -V | head -n 1)" != "$MIN_PYTHON_VERSION" ]]; then continue; fi
+
+              version_matrix+=($python_version,$pytorch_version)
+            done
+          done
+          version_matrix=$(printf '%s\n' "${version_matrix[@]}" | jq -R . | jq -s -c .)
+
+          # Write to outputs
+          echo "versions=$version_matrix" >> $GITHUB_OUTPUT
 
   test:
     runs-on: ubuntu-latest
-    needs: get-pytorch-versions
+    needs: get-python-pytorch-versions
     strategy:
       fail-fast: false
       matrix:
-        python: ["3.9", "3.10", "3.11", "3.12"] 
-        pytorch: ${{fromJson(needs.get-pytorch-versions.outputs.versions)}}
+        versions: ${{fromJson(needs.get-python-pytorch-versions.outputs.versions)}}
     steps:
       - uses: actions/checkout@v4
-      - uses: astral-sh/setup-uv@v3.2.2
+      - uses: astral-sh/setup-uv@v5
         with:
-          version: "0.5.0"
-      - if: contains('2.0,2.1,2.2', matrix.pytorch)
-        run: echo "NUMPY_VERSION=--with \"numpy<2\"" >> $GITHUB_ENV
-      - run: uv run --python ${{ matrix.python }} --with torch~=${{ matrix.pytorch }} ${{ env.NUMPY_VERSION }} pytest --verbose tests/test_ci.py
+          version: "0.5.29"
+      - run: |
+          IFS=',' read -r python_version pytorch_version <<< ${{ matrix.versions }}
+          echo "PYTHON_VERSION=$python_version" >> $GITHUB_ENV
+          echo "PYTORCH_VERSION=$pytorch_version" >> $GITHUB_ENV
+          if [[ "$pytorch_version" =~ ^2\.(0|1|2)$ ]]; then
+            echo "NUMPY_VERSION=--with \"numpy<2\"" >> $GITHUB_ENV
+          fi
+      - run: uv run --python ${{ env.PYTHON_VERSION }} --with torch~=${{ env.PYTORCH_VERSION }} ${{ env.NUMPY_VERSION }} pytest --verbose tests/test_ci.py
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 6922f831..82f6637a 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -5,14 +5,35 @@ on:
     types: [published]
 
 jobs:
-  release:
+  release-to-pypi:
     runs-on: ubuntu-latest
     permissions:
       id-token: write
     steps:
       - uses: actions/checkout@v4
-      - uses: astral-sh/setup-uv@v3
+      - uses: astral-sh/setup-uv@v5
         with:
-          version: "0.5.0"
+          version: "0.5.29"
       - run: uv build
       - run: uv publish
+
+  publish-docs:
+    runs-on: ubuntu-latest
+    permissions:
+      pages: write
+      id-token: write
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: astral-sh/setup-uv@v5
+        with:
+          version: "0.5.29"
+      - run: source ./scripts/build_docs.sh
+      - uses: actions/configure-pages@v5
+      - uses: actions/upload-pages-artifact@v3
+        with:
+          path: docs/_build/html
+      - id: deployment
+        uses: actions/deploy-pages@v4
diff --git a/.gitignore b/.gitignore
index af2731dd..c358615a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,8 @@
+docs/source/README.md
+docs/source/contributing.md
+docs/source/examples/scripts/
+
 torchrunx_logs/
-.pixi/
 .ruff_cache/
 .vscode/
 
diff --git a/CITATION.cff b/CITATION.cff
index dcd820c1..6b520878 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -9,6 +9,6 @@ authors:
     family-names: Curtin
     email: peter_curtin@brown.edu
 repository-code: 'https://github.com/apoorvkh/torchrunx'
-url: torchrunx.readthedocs.io
-license: MIT
-year: 2024
+url: 'https://torchrun.xyz'
+license: GPL-3.0
+year: 2025
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 1cf5b2b6..e9962865 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -2,16 +2,18 @@
 
 We use the [`uv`](https://github.com/astral-sh/uv) package manager. Simply [install `uv`](https://github.com/astral-sh/uv#installation) and run `uv sync` in this repository to build the environment. Run `source .venv/bin/activate` to activate the environment.
 
-We use `ruff check` for linting, `ruff format` for formatting, `pyright` for static type checking, and `pytest` for testing.
-
-We build wheels with `uv build` and upload to [PyPI](https://pypi.org/project/torchrunx) with `uv publish`. Our release pipeline is powered by Github Actions.
+We use `ruff check` for linting, `ruff format` for formatting, `pyright` for static type checking, and `pytest` for testing. We expect all such checks to pass before merging changes to the main branch. We build wheels with `uv build` and upload to [PyPI](https://pypi.org/project/torchrunx) with `uv publish`. Our CI pipelines are powered by Github Actions.
 
 ## Pull Requests
 
-Make a pull request with your changes on Github and we'll try to look at soon! If addressing a specific issue, mention it in the PR, and offer a short explanation of your fix. If adding a new feature, explain why it's meaningful and belongs in __torchrunx__.
+Make a pull request with your changes on Github and we'll try to look at it soon! If addressing a specific issue, mention it in the PR, and offer a short explanation of your fix. If adding a new feature, explain why it's meaningful and belongs in **torchrunx**.
 
 ## Testing
 
 `tests/` contains `pytest`-style tests for validating that code changes do not break the core functionality of our library.
 
 At the moment, we run `pytest tests/test_ci.py` (i.e. simple single-node CPU-only tests) in our Github Actions CI pipeline (`.github/workflows/release.yml`). One can manually run our more involved tests (on GPUs, on multiple machines from SLURM) on their own hardware.
+
+## Documentation
+
+Our documentation is hosted on Github Pages and is updated with every package release. We build our documentation with [Sphinx](https://www.sphinx-doc.org): `source scripts/build_docs.sh`. The documentation will then be generated at `docs/_build/html` (and can be rendered with `python -m http.server --directory docs/_build/html`).
diff --git a/LICENSE b/LICENSE
index 2ce617f8..f288702d 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,21 +1,674 @@
-MIT License
-
-Copyright (c) 2024 Apoorv Khandelwal (apoorvkh) & Peter Curtin (pmcurtin)
-
-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.
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+  "The Program" refers to any copyrightable work licensed under this
+License.  Each licensee is addressed as "you".  "Licensees" and
+"recipients" may be individuals or organizations.
+
+  To "modify" a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy.  The resulting work is called a "modified version" of the
+earlier work or a work "based on" the earlier work.
+
+  A "covered work" means either the unmodified Program or a work based
+on the Program.
+
+  To "propagate" a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy.  Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
+
+  To "convey" a work means any kind of propagation that enables other
+parties to make or receive copies.  Mere interaction with a user through
+a computer network, with no transfer of a copy, is not conveying.
+
+  An interactive user interface displays "Appropriate Legal Notices"
+to the extent that it includes a convenient and prominently visible
+feature that (1) displays an appropriate copyright notice, and (2)
+tells the user that there is no warranty for the work (except to the
+extent that warranties are provided), that licensees may convey the
+work under this License, and how to view a copy of this License.  If
+the interface presents a list of user commands or options, such as a
+menu, a prominent item in the list meets this criterion.
+
+  1. Source Code.
+
+  The "source code" for a work means the preferred form of the work
+for making modifications to it.  "Object code" means any non-source
+form of a work.
+
+  A "Standard Interface" means an interface that either is an official
+standard defined by a recognized standards body, or, in the case of
+interfaces specified for a particular programming language, one that
+is widely used among developers working in that language.
+
+  The "System Libraries" of an executable work include anything, other
+than the work as a whole, that (a) is included in the normal form of
+packaging a Major Component, but which is not part of that Major
+Component, and (b) serves only to enable use of the work with that
+Major Component, or to implement a Standard Interface for which an
+implementation is available to the public in source code form.  A
+"Major Component", in this context, means a major essential component
+(kernel, window system, and so on) of the specific operating system
+(if any) on which the executable work runs, or a compiler used to
+produce the work, or an object code interpreter used to run it.
+
+  The "Corresponding Source" for a work in object code form means all
+the source code needed to generate, install, and (for an executable
+work) run the object code and to modify the work, including scripts to
+control those activities.  However, it does not include the work's
+System Libraries, or general-purpose tools or generally available free
+programs which are used unmodified in performing those activities but
+which are not part of the work.  For example, Corresponding Source
+includes interface definition files associated with source files for
+the work, and the source code for shared libraries and dynamically
+linked subprograms that the work is specifically designed to require,
+such as by intimate data communication or control flow between those
+subprograms and other parts of the work.
+
+  The Corresponding Source need not include anything that users
+can regenerate automatically from other parts of the Corresponding
+Source.
+
+  The Corresponding Source for a work in source code form is that
+same work.
+
+  2. Basic Permissions.
+
+  All rights granted under this License are granted for the term of
+copyright on the Program, and are irrevocable provided the stated
+conditions are met.  This License explicitly affirms your unlimited
+permission to run the unmodified Program.  The output from running a
+covered work is covered by this License only if the output, given its
+content, constitutes a covered work.  This License acknowledges your
+rights of fair use or other equivalent, as provided by copyright law.
+
+  You may make, run and propagate covered works that you do not
+convey, without conditions so long as your license otherwise remains
+in force.  You may convey covered works to others for the sole purpose
+of having them make modifications exclusively for you, or provide you
+with facilities for running those works, provided that you comply with
+the terms of this License in conveying all material for which you do
+not control copyright.  Those thus making or running the covered works
+for you must do so exclusively on your behalf, under your direction
+and control, on terms that prohibit them from making any copies of
+your copyrighted material outside their relationship with you.
+
+  Conveying under any other circumstances is permitted solely under
+the conditions stated below.  Sublicensing is not allowed; section 10
+makes it unnecessary.
+
+  3. Protecting Users' Legal Rights From Anti-Circumvention Law.
+
+  No covered work shall be deemed part of an effective technological
+measure under any applicable law fulfilling obligations under article
+11 of the WIPO copyright treaty adopted on 20 December 1996, or
+similar laws prohibiting or restricting circumvention of such
+measures.
+
+  When you convey a covered work, you waive any legal power to forbid
+circumvention of technological measures to the extent such circumvention
+is effected by exercising rights under this License with respect to
+the covered work, and you disclaim any intention to limit operation or
+modification of the work as a means of enforcing, against the work's
+users, your or third parties' legal rights to forbid circumvention of
+technological measures.
+
+  4. Conveying Verbatim Copies.
+
+  You may convey verbatim copies of the Program's source code as you
+receive it, in any medium, provided that you conspicuously and
+appropriately publish on each copy an appropriate copyright notice;
+keep intact all notices stating that this License and any
+non-permissive terms added in accord with section 7 apply to the code;
+keep intact all notices of the absence of any warranty; and give all
+recipients a copy of this License along with the Program.
+
+  You may charge any price or no price for each copy that you convey,
+and you may offer support or warranty protection for a fee.
+
+  5. Conveying Modified Source Versions.
+
+  You may convey a work based on the Program, or the modifications to
+produce it from the Program, in the form of source code under the
+terms of section 4, provided that you also meet all of these conditions:
+
+    a) The work must carry prominent notices stating that you modified
+    it, and giving a relevant date.
+
+    b) The work must carry prominent notices stating that it is
+    released under this License and any conditions added under section
+    7.  This requirement modifies the requirement in section 4 to
+    "keep intact all notices".
+
+    c) You must license the entire work, as a whole, under this
+    License to anyone who comes into possession of a copy.  This
+    License will therefore apply, along with any applicable section 7
+    additional terms, to the whole of the work, and all its parts,
+    regardless of how they are packaged.  This License gives no
+    permission to license the work in any other way, but it does not
+    invalidate such permission if you have separately received it.
+
+    d) If the work has interactive user interfaces, each must display
+    Appropriate Legal Notices; however, if the Program has interactive
+    interfaces that do not display Appropriate Legal Notices, your
+    work need not make them do so.
+
+  A compilation of a covered work with other separate and independent
+works, which are not by their nature extensions of the covered work,
+and which are not combined with it such as to form a larger program,
+in or on a volume of a storage or distribution medium, is called an
+"aggregate" if the compilation and its resulting copyright are not
+used to limit the access or legal rights of the compilation's users
+beyond what the individual works permit.  Inclusion of a covered work
+in an aggregate does not cause this License to apply to the other
+parts of the aggregate.
+
+  6. Conveying Non-Source Forms.
+
+  You may convey a covered work in object code form under the terms
+of sections 4 and 5, provided that you also convey the
+machine-readable Corresponding Source under the terms of this License,
+in one of these ways:
+
+    a) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by the
+    Corresponding Source fixed on a durable physical medium
+    customarily used for software interchange.
+
+    b) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by a
+    written offer, valid for at least three years and valid for as
+    long as you offer spare parts or customer support for that product
+    model, to give anyone who possesses the object code either (1) a
+    copy of the Corresponding Source for all the software in the
+    product that is covered by this License, on a durable physical
+    medium customarily used for software interchange, for a price no
+    more than your reasonable cost of physically performing this
+    conveying of source, or (2) access to copy the
+    Corresponding Source from a network server at no charge.
+
+    c) Convey individual copies of the object code with a copy of the
+    written offer to provide the Corresponding Source.  This
+    alternative is allowed only occasionally and noncommercially, and
+    only if you received the object code with such an offer, in accord
+    with subsection 6b.
+
+    d) Convey the object code by offering access from a designated
+    place (gratis or for a charge), and offer equivalent access to the
+    Corresponding Source in the same way through the same place at no
+    further charge.  You need not require recipients to copy the
+    Corresponding Source along with the object code.  If the place to
+    copy the object code is a network server, the Corresponding Source
+    may be on a different server (operated by you or a third party)
+    that supports equivalent copying facilities, provided you maintain
+    clear directions next to the object code saying where to find the
+    Corresponding Source.  Regardless of what server hosts the
+    Corresponding Source, you remain obligated to ensure that it is
+    available for as long as needed to satisfy these requirements.
+
+    e) Convey the object code using peer-to-peer transmission, provided
+    you inform other peers where the object code and Corresponding
+    Source of the work are being offered to the general public at no
+    charge under subsection 6d.
+
+  A separable portion of the object code, whose source code is excluded
+from the Corresponding Source as a System Library, need not be
+included in conveying the object code work.
+
+  A "User Product" is either (1) a "consumer product", which means any
+tangible personal property which is normally used for personal, family,
+or household purposes, or (2) anything designed or sold for incorporation
+into a dwelling.  In determining whether a product is a consumer product,
+doubtful cases shall be resolved in favor of coverage.  For a particular
+product received by a particular user, "normally used" refers to a
+typical or common use of that class of product, regardless of the status
+of the particular user or of the way in which the particular user
+actually uses, or expects or is expected to use, the product.  A product
+is a consumer product regardless of whether the product has substantial
+commercial, industrial or non-consumer uses, unless such uses represent
+the only significant mode of use of the product.
+
+  "Installation Information" for a User Product means any methods,
+procedures, authorization keys, or other information required to install
+and execute modified versions of a covered work in that User Product from
+a modified version of its Corresponding Source.  The information must
+suffice to ensure that the continued functioning of the modified object
+code is in no case prevented or interfered with solely because
+modification has been made.
+
+  If you convey an object code work under this section in, or with, or
+specifically for use in, a User Product, and the conveying occurs as
+part of a transaction in which the right of possession and use of the
+User Product is transferred to the recipient in perpetuity or for a
+fixed term (regardless of how the transaction is characterized), the
+Corresponding Source conveyed under this section must be accompanied
+by the Installation Information.  But this requirement does not apply
+if neither you nor any third party retains the ability to install
+modified object code on the User Product (for example, the work has
+been installed in ROM).
+
+  The requirement to provide Installation Information does not include a
+requirement to continue to provide support service, warranty, or updates
+for a work that has been modified or installed by the recipient, or for
+the User Product in which it has been modified or installed.  Access to a
+network may be denied when the modification itself materially and
+adversely affects the operation of the network or violates the rules and
+protocols for communication across the network.
+
+  Corresponding Source conveyed, and Installation Information provided,
+in accord with this section must be in a format that is publicly
+documented (and with an implementation available to the public in
+source code form), and must require no special password or key for
+unpacking, reading or copying.
+
+  7. Additional Terms.
+
+  "Additional permissions" are terms that supplement the terms of this
+License by making exceptions from one or more of its conditions.
+Additional permissions that are applicable to the entire Program shall
+be treated as though they were included in this License, to the extent
+that they are valid under applicable law.  If additional permissions
+apply only to part of the Program, that part may be used separately
+under those permissions, but the entire Program remains governed by
+this License without regard to the additional permissions.
+
+  When you convey a copy of a covered work, you may at your option
+remove any additional permissions from that copy, or from any part of
+it.  (Additional permissions may be written to require their own
+removal in certain cases when you modify the work.)  You may place
+additional permissions on material, added by you to a covered work,
+for which you have or can give appropriate copyright permission.
+
+  Notwithstanding any other provision of this License, for material you
+add to a covered work, you may (if authorized by the copyright holders of
+that material) supplement the terms of this License with terms:
+
+    a) Disclaiming warranty or limiting liability differently from the
+    terms of sections 15 and 16 of this License; or
+
+    b) Requiring preservation of specified reasonable legal notices or
+    author attributions in that material or in the Appropriate Legal
+    Notices displayed by works containing it; or
+
+    c) Prohibiting misrepresentation of the origin of that material, or
+    requiring that modified versions of such material be marked in
+    reasonable ways as different from the original version; or
+
+    d) Limiting the use for publicity purposes of names of licensors or
+    authors of the material; or
+
+    e) Declining to grant rights under trademark law for use of some
+    trade names, trademarks, or service marks; or
+
+    f) Requiring indemnification of licensors and authors of that
+    material by anyone who conveys the material (or modified versions of
+    it) with contractual assumptions of liability to the recipient, for
+    any liability that these contractual assumptions directly impose on
+    those licensors and authors.
+
+  All other non-permissive additional terms are considered "further
+restrictions" within the meaning of section 10.  If the Program as you
+received it, or any part of it, contains a notice stating that it is
+governed by this License along with a term that is a further
+restriction, you may remove that term.  If a license document contains
+a further restriction but permits relicensing or conveying under this
+License, you may add to a covered work material governed by the terms
+of that license document, provided that the further restriction does
+not survive such relicensing or conveying.
+
+  If you add terms to a covered work in accord with this section, you
+must place, in the relevant source files, a statement of the
+additional terms that apply to those files, or a notice indicating
+where to find the applicable terms.
+
+  Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+  8. Termination.
+
+  You may not propagate or modify a covered work except as expressly
+provided under this License.  Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+  However, if you cease all violation of this License, then your
+license from a particular copyright holder is reinstated (a)
+provisionally, unless and until the copyright holder explicitly and
+finally terminates your license, and (b) permanently, if the copyright
+holder fails to notify you of the violation by some reasonable means
+prior to 60 days after the cessation.
+
+  Moreover, your license from a particular copyright holder is
+reinstated permanently if the copyright holder notifies you of the
+violation by some reasonable means, this is the first time you have
+received notice of violation of this License (for any work) from that
+copyright holder, and you cure the violation prior to 30 days after
+your receipt of the notice.
+
+  Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
+this License.  If your rights have been terminated and not permanently
+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+  9. Acceptance Not Required for Having Copies.
+
+  You are not required to accept this License in order to receive or
+run a copy of the Program.  Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance.  However,
+nothing other than this License grants you permission to propagate or
+modify any covered work.  These actions infringe copyright if you do
+not accept this License.  Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+  10. Automatic Licensing of Downstream Recipients.
+
+  Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License.  You are not responsible
+for enforcing compliance by third parties with this License.
+
+  An "entity transaction" is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
+organization, or merging organizations.  If propagation of a covered
+work results from an entity transaction, each party to that
+transaction who receives a copy of the work also receives whatever
+licenses to the work the party's predecessor in interest had or could
+give under the previous paragraph, plus a right to possession of the
+Corresponding Source of the work from the predecessor in interest, if
+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
+by this License, of making, using, or selling its contributor version,
+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
+purposes of this definition, "control" includes the right to grant
+patent sublicenses in a manner consistent with the requirements of
+this License.
+
+  Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
+make, use, sell, offer for sale, import and otherwise run, modify and
+propagate the contents of its contributor version.
+
+  In the following three paragraphs, a "patent license" is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Use with the GNU Affero General Public License.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU Affero General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the special requirements of the GNU Affero General Public License,
+section 13, concerning interaction through a network will apply to the
+combination as such.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU General Public License from time to time.  Such new versions will
+be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.
diff --git a/README.md b/README.md
index 74f3ce25..d86e0e5d 100644
--- a/README.md
+++ b/README.md
@@ -1,95 +1,141 @@
 # torchrunx 🔥
 
-[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/torchrunx)](https://github.com/apoorvkh/torchrunx/blob/main/pyproject.toml)
+[![Python Version](https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fraw.githubusercontent.com%2Fapoorvkh%2Ftorchrunx%2Fmain%2Fpyproject.toml)](https://github.com/apoorvkh/torchrunx/blob/main/pyproject.toml)
 [![PyTorch Version](https://img.shields.io/badge/torch-%3E%3D2.0-orange)](https://github.com/pytorch/pytorch)
 [![PyPI - Version](https://img.shields.io/pypi/v/torchrunx)](https://pypi.org/project/torchrunx/)
+[![Documentation](https://img.shields.io/badge/Documentation-blue)](https://torchrun.xyz)
 ![Tests](https://img.shields.io/github/actions/workflow/status/apoorvkh/torchrunx/.github%2Fworkflows%2Fmain.yml)
-[![Docs](https://readthedocs.org/projects/torchrunx/badge/?version=stable)](https://torchrunx.readthedocs.io)
 [![GitHub License](https://img.shields.io/github/license/apoorvkh/torchrunx)](https://github.com/apoorvkh/torchrunx/blob/main/LICENSE)
 
-By [Apoorv Khandelwal](http://apoorvkh.com) and [Peter Curtin](https://github.com/pmcurtin)
+By [Apoorv Khandelwal](https://apoorvkh.com) and [Peter Curtin](https://github.com/pmcurtin)
 
-**Automatically distribute PyTorch functions onto multiple machines or GPUs**
+**The easiest way to run PyTorch on multiple GPUs or machines.**
 
-## Installation
+---
+
+**`torchrunx`** is a *functional* utility for distributing PyTorch code across devices. This is a [more convenient, robust, and featureful](#torchrunx-uniquely-offers) alternative to CLI-based launchers, like `torchrun`, `accelerate launch`, and `deepspeed`.
+
+It enables complex workflows within a single script and has useful features even if only using 1 GPU.
 
 ```bash
 pip install torchrunx
 ```
 
-**Requires:** Linux (with shared filesystem & SSH access if using multiple machines)
+Requires: Linux. If using multiple machines: SSH & shared filesystem.
+
+---
 
-## Demo
+<h4>Example: simple training loop</h4>
 
-Here's a simple example where we "train" a model on two nodes (with 2 GPUs each).
+Suppose we have some distributed training function (which needs to run on every GPU):
+
+```python
+def distributed_training(model: nn.Module, num_steps: int) -> nn.Module: ...
+```
 
 <details>
-  <summary>Training code</summary>
+<summary><b>Implementation of <code>distributed_training</code> (click to expand)</b></summary>
+
+```python
+from __future__ import annotations
+import os
+import torch
+import torch.nn as nn
 
-  ```python
-  import os
-  import torch
+def distributed_training(model: nn.Module, num_steps: int = 10) -> nn.Module | None:
+    rank = int(os.environ['RANK'])
+    local_rank = int(os.environ['LOCAL_RANK'])
 
-  def train():
-      rank = int(os.environ['RANK'])
-      local_rank = int(os.environ['LOCAL_RANK'])
+    model.to(local_rank)
+    ddp_model = nn.parallel.DistributedDataParallel(model, device_ids=[local_rank])
+    optimizer = torch.optim.AdamW(ddp_model.parameters())
 
-      model = torch.nn.Linear(10, 10).to(local_rank)
-      ddp_model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[local_rank])
-      optimizer = torch.optim.AdamW(ddp_model.parameters())
+    for step in range(num_steps):
+        optimizer.zero_grad()
 
-      optimizer.zero_grad()
-      outputs = ddp_model(torch.randn(5, 10))
-      labels = torch.randn(5, 10).to(local_rank)
-      torch.nn.functional.mse_loss(outputs, labels).backward()
-      optimizer.step()
+        inputs = torch.randn(5, 10).to(local_rank)
+        labels = torch.randn(5, 10).to(local_rank)
+        outputs = ddp_model(inputs)
 
-      if rank == 0:
-          return model
-  ```
+        torch.nn.functional.mse_loss(outputs, labels).backward()
+        optimizer.step()
+
+    if rank == 0:
+        return model.cpu()
+```
 
-  You could also use `transformers.Trainer` (or similar) to automatically handle all the multi-GPU / DDP code above.
 </details>
 
+We can distribute and run this function (e.g. on 2 machines x 2 GPUs) using **`torchrunx`**!
 
 ```python
-import torchrunx as trx
+import torchrunx
+
+launcher = torchrunx.Launcher(
+    hostnames = ["localhost", "second_machine"],  # or IP addresses
+    workers_per_host = 2  # e.g. number of GPUs per host
+)
+
+results = launcher.run(
+    distributed_training,
+    model = nn.Linear(10, 10),
+    num_steps = 10
+)
+```
+
+Once completed, you can retrieve the results and process them as you wish.
 
-if __name__ == "__main__":
-    result = trx.launch(
-        func=train,
-        hostnames=["localhost", "other_node"],
-        workers_per_host=2  # number of GPUs
-    )
+```python
+trained_model: nn.Module = results.rank(0)
+                     # or: results.index(hostname="localhost", local_rank=0)
 
-    trained_model = result.rank(0)
-    torch.save(trained_model.state_dict(), "model.pth")
+# and continue your script
+torch.save(trained_model.state_dict(), "output/model.pth")
 ```
 
-### [Full API](https://torchrunx.readthedocs.io/stable/api.html)
-### [Advanced Usage](https://torchrunx.readthedocs.io/stable/advanced.html)
+**See more examples where we fine-tune LLMs using:**
+  - [Transformers](https://torchrun.xyz/examples/transformers.html)
+  - [DeepSpeed](https://torchrun.xyz/examples/deepspeed.html)
+  - [PyTorch Lightning](https://torchrun.xyz/examples/lightning.html)
+  - [Accelerate](https://torchrun.xyz/examples/accelerate.html)
+
+**Refer to our [API](https://torchrun.xyz/api.html) and [Usage](https://torchrun.xyz/usage/general.html) for many more capabilities!**
+
+---
+
+## `torchrunx` uniquely offers
+
+1. **An automatic launcher that "just works" for everyone** 🚀
+
+> `torchrunx` is an SSH-based, pure-Python library that is universally easy to install.<br>
+> No system-specific dependencies and orchestration for *automatic* multi-node distribution.
+
+2. **Conventional CLI commands** 🖥️
 
-## Why should I use this?
+> Run familiar commands, like `python my_script.py ...`, and customize arguments as you wish.
+> 
+> Other launchers override `python` in a cumbersome way: e.g. `torchrun --nproc_per_node=2 --nnodes=2 --node_rank=0 --master_addr=100.43.331.111 --master_port=1234 my_script.py ...`.
 
-Whether you have 1 GPU, 8 GPUs, or 8 machines:
+3. **Support for more complex workflows in a single script** 🎛️
 
-__Features__
+> Your workflow may have steps that are complex (e.g. pre-train, fine-tune, test) or may different parallelizations (e.g. training on 8 GPUs, testing on 1 GPU). In these cases, CLI-based launchers require each step to live in its own script. Our library treats these steps in a modular way, so they can cleanly fit together in a single script!
+>
+> 
+> We clean memory leaks as we go, so previous steps won't crash or adversely affect future steps.
 
-- Our [`launch()`](https://torchrunx.readthedocs.io/stable/api.html#torchrunx.launch) utility is super _Pythonic_
-    - Return objects from your workers
-    - Run `python script.py` instead of `torchrun script.py`
-    - Launch multi-node functions, even from Python Notebooks
-- Fine-grained control over logging, environment variables, exception handling, etc.
-- Automatic integration with SLURM
+4. **Better handling of system failures. No more zombies!** 🧟
 
-__Robustness__
+> With `torchrun`, your "work" is inherently coupled to your main Python process. If the system kills one of your workers (e.g. due to RAM OOM or segmentation faults), there is no way to fail gracefully in Python. Your processes might hang for 10 minutes (the NCCL timeout) or become perpetual zombies.
+>
+> 
+> `torchrunx` decouples "launcher" and "worker" processes. If the system kills a worker, our launcher immediately raises a `WorkerFailure` exception, which users can handle as they wish. We always clean up all nodes, so no more zombies!
 
-- If you want to run a complex, _modular_ workflow in __one__ script
-  - don't parallelize your entire script: just the functions you want!
-  - no worries about memory leaks or OS failures
+5. **Bonus features** 🎁
 
-__Convenience__
+> - Return objects from distributed functions.
+> - [Automatic detection of SLURM environments.](https://torchrun.xyz/usage/slurm.html)
+> - Start multi-node training from Python notebooks!
+> - Our library is fully typed!
+> - Custom, fine-grained handling of logging, environment variables, and exception propagation. We have nice defaults too: no more interleaved logs and irrelevant exceptions!
 
-- If you don't want to:
-  - set up [`dist.init_process_group`](https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group) yourself
-  - manually SSH into every machine and `torchrun --master-ip --master-port ...`, babysit failed processes, etc.
+**On our [roadmap](https://github.com/apoorvkh/torchrunx/issues?q=is%3Aopen+is%3Aissue+label%3Aenhancement): higher-order parallelism, support for debuggers, and more!**
diff --git a/docs/.readthedocs.yaml b/docs/.readthedocs.yaml
deleted file mode 100644
index 036741ce..00000000
--- a/docs/.readthedocs.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-version: 2
-
-build:
-  os: ubuntu-24.04
-  tools:
-    python: "3.9"
-
-sphinx:
-  configuration: docs/source/conf.py
-
-python:
-  install:
-    - requirements: docs/requirements.txt
diff --git a/docs/conf.py b/docs/conf.py
new file mode 100644
index 00000000..857a8c4f
--- /dev/null
+++ b/docs/conf.py
@@ -0,0 +1,45 @@
+"""Configuration file for the Sphinx documentation builder."""
+from glob import glob
+import os
+import re
+import shutil
+
+shutil.copyfile("../README.md", "source/README.md")
+readme_f_str = open("source/README.md", "r").read()
+readme_f_str = readme_f_str.replace("<code>", '<p style="display: inline-block;"><code class="docutils literal notranslate"><span class="pre">').replace("</code>", "</span></code></p>")
+readme_f_str = re.sub(r"https://torchrun\.xyz/(.+?)\.html", r"./\1.md", readme_f_str)
+open("source/README.md", "w").write(readme_f_str)
+
+shutil.copyfile("../CONTRIBUTING.md", "source/contributing.md")
+
+os.makedirs("source/examples/scripts", exist_ok=True)
+[shutil.copy(f, "source/examples/scripts/") for f in glob("../scripts/examples/*.py")]
+html_extra_path = list(glob("source/examples/scripts/*.py"))
+
+project = "torchrunx"
+copyright = 'Apoorv Khandelwal & Peter Curtin'
+github_username = "apoorvkh"
+github_repository = "torchrunx"
+html_theme = "furo"
+language = "en"
+
+extensions = [
+    "sphinx.ext.autodoc",
+    "myst_parser",  # support markdown
+    "sphinx.ext.intersphinx",  # link to external docs
+    "sphinx.ext.napoleon",  # for google style docstrings
+    "sphinx.ext.linkcode",  # link to github source
+    # sidebar
+    "sphinx_toolbox.sidebar_links",
+    "sphinx_toolbox.github",
+]
+
+maximum_signature_line_length = 90
+autodoc_member_order = "bysource"
+
+intersphinx_mapping = {
+    'python': ('https://docs.python.org/3.9', None),
+}
+
+from docs.linkcode_github import generate_linkcode_resolve_fn
+linkcode_resolve = generate_linkcode_resolve_fn(project, github_username, github_repository)
diff --git a/docs/linkcode_github.py b/docs/linkcode_github.py
new file mode 100644
index 00000000..cd385b8f
--- /dev/null
+++ b/docs/linkcode_github.py
@@ -0,0 +1,62 @@
+## sphinx.ext.linkcode configuration
+# Link code to Github source
+# From: https://github.com/scikit-learn/scikit-learn/blob/main/doc/sphinxext/github_link.py
+
+import inspect
+import os
+import subprocess
+import sys
+from operator import attrgetter
+
+
+def generate_linkcode_resolve_fn(package, github_username, github_repository):
+
+    try:
+        revision = (
+            subprocess.check_output("git rev-parse --short HEAD".split()).strip().decode("utf-8")
+        )
+    except (subprocess.CalledProcessError, OSError):
+        print("Failed to execute git to get revision")
+        revision = None
+
+    url_fmt = (
+        f"https://github.com/{github_username}/{github_repository}/"
+        "blob/{revision}/src/{package}/{path}#L{lineno}"
+    )
+
+    def linkcode_resolve(domain, info):
+        if revision is None:
+            return
+        if domain not in ("py", "pyx"):
+            return
+        if not info.get("module") or not info.get("fullname"):
+            return
+
+        class_name = info["fullname"].split(".")[0]
+        module = __import__(info["module"], fromlist=[class_name])
+        obj = attrgetter(info["fullname"])(module)
+
+        # Unwrap the object to get the correct source
+        # file in case that is wrapped by a decorator
+        obj = inspect.unwrap(obj)
+
+        try:
+            fn = inspect.getsourcefile(obj)
+        except Exception:
+            fn = None
+        if not fn:
+            try:
+                fn = inspect.getsourcefile(sys.modules[obj.__module__])
+            except Exception:
+                fn = None
+        if not fn:
+            return
+
+        fn = os.path.relpath(fn, start=os.path.dirname(__import__(package).__file__))
+        try:
+            lineno = inspect.getsourcelines(obj)[1]
+        except Exception:
+            lineno = ""
+        return url_fmt.format(revision=revision, package=package, path=fn, lineno=lineno)
+
+    return linkcode_resolve
diff --git a/docs/requirements.txt b/docs/requirements.txt
deleted file mode 100644
index 06ac352c..00000000
--- a/docs/requirements.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-sphinx==6.2.1
-furo
-myst-parser
-sphinx-toolbox
diff --git a/docs/source/advanced.rst b/docs/source/advanced.rst
deleted file mode 100644
index bee131a9..00000000
--- a/docs/source/advanced.rst
+++ /dev/null
@@ -1,114 +0,0 @@
-Advanced Usage
-==============
-
-Multiple functions in one script
---------------------------------
-
-We could also launch multiple functions (e.g. train on many GPUs, test on one GPU):
-
-.. code-block:: python
-
-    import torchrunx as trx
-
-    trained_model = trx.launch(
-        func=train,
-        hostnames=["node1", "node2"],
-        workers_per_host=8
-    ).rank(0)
-
-    accuracy = trx.launch(
-        func=test,
-        func_args=(trained_model,),
-        hostnames=["localhost"],
-        workers_per_host=1
-    ).rank(0)
-
-    print(f'Accuracy: {accuracy}')
-
-
-:mod:`torchrunx.launch` is self-cleaning: all processes are terminated (and the used memory is completely released) before the subsequent invocation.
-
-Launcher class
---------------
-
-We provide the :mod:`torchrunx.Launcher` class as an alias to :mod:`torchrunx.launch`.
-
-.. autoclass:: torchrunx.Launcher
-  :members:
-
-CLI integration
-^^^^^^^^^^^^^^^
-
-We can use :mod:`torchrunx.Launcher` to populate arguments from the CLI (e.g. with `tyro <https://brentyi.github.io/tyro/>`_):
-
-.. code:: python
-
-    import torchrunx as trx
-    import tyro
-
-    def distributed_function():
-        pass
-
-    if __name__ == "__main__":
-        launcher = tyro.cli(trx.Launcher)
-        launcher.run(distributed_function)
-
-``python ... --help`` then results in:
-
-.. code:: bash
-
-    ╭─ options ─────────────────────────────────────────────╮
-    │ -h, --help           show this help message and exit  │
-    │ --hostnames {[STR [STR ...]]}|{auto,slurm}            │
-    │                      (default: auto)                  │
-    │ --workers-per-host INT|{[INT [INT ...]]}|{auto,slurm} │
-    │                      (default: auto)                  │
-    │ --ssh-config-file {None}|STR|PATH                     │
-    │                      (default: None)                  │
-    │ --backend {None,nccl,gloo,mpi,ucc,auto}               │
-    │                      (default: auto)                  │
-    │ --timeout INT        (default: 600)                   │
-    │ --default-env-vars [STR [STR ...]]                    │
-    │                      (default: PATH LD_LIBRARY ...)   │
-    │ --extra-env-vars [STR [STR ...]]                      │
-    │                      (default: )                      │
-    │ --env-file {None}|STR|PATH                            │
-    │                      (default: None)                  │
-    ╰───────────────────────────────────────────────────────╯
-
-SLURM integration
------------------
-
-By default, the ``hostnames`` or ``workers_per_host`` arguments are populated from the current SLURM allocation. If no allocation is detected, we assume 1 machine (localhost) with N workers (num. GPUs or CPUs).
-Raises a ``RuntimeError`` if ``hostnames="slurm"`` or ``workers_per_host="slurm"`` but no allocation is detected.
-
-Propagating exceptions
-----------------------
-
-Exceptions that are raised in workers will be raised by the launcher process.
-
-A :mod:`torchrunx.AgentFailedError` or :mod:`torchrunx.WorkerFailedError` will be raised if any agent or worker dies unexpectedly (e.g. if sent a signal from the OS, due to segmentation faults or OOM).
-
-Environment variables
----------------------
-
-Environment variables in the launcher process that match the ``default_env_vars`` argument are automatically copied to agents and workers. We set useful defaults for Python and PyTorch. Environment variables are pattern-matched with this list using ``fnmatch``.
-
-``default_env_vars`` can be overriden if desired. This list can be augmented using ``extra_env_vars``. Additional environment variables (and more custom bash logic) can be included via the ``env_file`` argument. Our agents ``source`` this file.
-
-We also set the following environment variables in each worker: ``LOCAL_RANK``, ``RANK``, ``LOCAL_WORLD_SIZE``, ``WORLD_SIZE``, ``MASTER_ADDR``, and ``MASTER_PORT``.
-
-Custom logging
---------------
-
-We forward all logs (i.e. from :mod:`logging` and :mod:`sys.stdout`/:mod:`sys.stderr`) from workers and agents to the launcher. By default, the logs from the first agent and its first worker are printed into the launcher's ``stdout`` stream. Logs from all agents and workers are written to files in ``$TORCHRUNX_LOG_DIR`` (default: ``./torchrunx_logs``) and are named by timestamp, hostname, and local_rank.
-
-:mod:`logging.Handler` objects can be provided via the ``handler_factory`` argument to provide further customization (mapping specific agents/workers to custom output streams). You must pass a function that returns a list of :mod:`logging.Handler`s to ``handler_factory``.
-
-We provide some utilities to help:
-
-.. autofunction:: torchrunx.file_handler
-
-.. autofunction:: torchrunx.stream_handler
-
-.. autofunction:: torchrunx.add_filter_to_handler
diff --git a/docs/source/api.md b/docs/source/api.md
new file mode 100644
index 00000000..6ee6d489
--- /dev/null
+++ b/docs/source/api.md
@@ -0,0 +1,6 @@
+# API
+
+```{eval-rst}
+.. automodule:: torchrunx
+  :members:
+```
diff --git a/docs/source/api.rst b/docs/source/api.rst
deleted file mode 100644
index 518b323f..00000000
--- a/docs/source/api.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-API
-=============
-
-.. autofunction:: torchrunx.launch(func: Callable, ...)
-
-.. autoclass:: torchrunx.LaunchResult
-  :members:
-
-.. autoclass:: torchrunx.AgentFailedError
-
-.. autoclass:: torchrunx.WorkerFailedError
diff --git a/docs/source/artifacts/accelerate_help.txt b/docs/source/artifacts/accelerate_help.txt
new file mode 100644
index 00000000..4af2d2ec
--- /dev/null
+++ b/docs/source/artifacts/accelerate_help.txt
@@ -0,0 +1,56 @@
+usage: accelerate_train.py [-h] [OPTIONS]
+
+╭─ options ──────────────────────────────────────────────────────────────────╮
+│ -h, --help                                                                 │
+│     show this help message and exit                                        │
+│ --batch-size INT                                                           │
+│     (required)                                                             │
+│ --output-dir PATH                                                          │
+│     (required)                                                             │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ launcher options ─────────────────────────────────────────────────────────╮
+│ For configuring the function launch environment.                           │
+│ ────────────────────────────────────────────────────────────────────────── │
+│ --launcher.hostnames {[STR [STR ...]]}|{auto,slurm}                        │
+│     Nodes to launch the function on. By default, infer from SLURM, else    │
+│     ``["localhost"]``. (default: auto)                                     │
+│ --launcher.workers-per-host INT|{[INT [INT ...]]}|{cpu,gpu}                │
+│     Number of processes to run per node. By default, number of GPUs per    │
+│     host. (default: gpu)                                                   │
+│ --launcher.ssh-config-file {None}|STR|PATHLIKE                             │
+│     For connecting to nodes. By default, ``"~/.ssh/config"`` or            │
+│     ``"/etc/ssh/ssh_config"``. (default: None)                             │
+│ --launcher.backend {None,nccl,gloo,mpi,ucc}                                │
+│     `Backend                                                               │
+│     <https://pytorch.org/docs/stable/distributed.html#torch.distributed.B… │
+│             for worker process group. By default, NCCL (GPU backend).      │
+│             Use GLOO for CPU backend. ``None`` for no process group.       │
+│     (default: nccl)                                                        │
+│ --launcher.timeout INT                                                     │
+│     Worker process group timeout (seconds). (default: 600)                 │
+│ --launcher.copy-env-vars [STR [STR ...]]                                   │
+│     Environment variables to copy from the launcher process to workers.    │
+│     Supports Unix pattern matching syntax. (default: PATH LD_LIBRARY       │
+│     LIBRARY_PATH 'PYTHON*' 'CUDA*' 'TORCH*' 'PYTORCH*' 'NCCL*')            │
+│ --launcher.extra-env-vars {None}|{[STR STR [STR STR ...]]}                 │
+│     Additional environment variables to load onto workers. (default: None) │
+│ --launcher.env-file {None}|STR|PATHLIKE                                    │
+│     Path to a ``.env`` file, containing environment variables to load onto │
+│     workers. (default: None)                                               │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ model options ────────────────────────────────────────────────────────────╮
+│ --model.name STR                                                           │
+│     (required)                                                             │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ dataset options ──────────────────────────────────────────────────────────╮
+│ --dataset.path STR                                                         │
+│     (required)                                                             │
+│ --dataset.name {None}|STR                                                  │
+│     (default: None)                                                        │
+│ --dataset.split {None}|STR                                                 │
+│     (default: None)                                                        │
+│ --dataset.text-column STR                                                  │
+│     (default: text)                                                        │
+│ --dataset.num-samples {None}|INT                                           │
+│     (default: None)                                                        │
+╰────────────────────────────────────────────────────────────────────────────╯
diff --git a/docs/source/artifacts/argparse_cli_help.txt b/docs/source/artifacts/argparse_cli_help.txt
new file mode 100644
index 00000000..01b19fd0
--- /dev/null
+++ b/docs/source/artifacts/argparse_cli_help.txt
@@ -0,0 +1,30 @@
+usage: -c [-h] [--hostnames HOSTNAMES [HOSTNAMES ...]]
+          [--workers-per-host WORKERS_PER_HOST [WORKERS_PER_HOST ...]]
+          [--ssh-config-file SSH_CONFIG_FILE]
+          [--backend {nccl,gloo,mpi,ucc,None}] [--timeout TIMEOUT]
+          [--copy-env-vars COPY_ENV_VARS [COPY_ENV_VARS ...]]
+          [--extra-env-vars [EXTRA_ENV_VARS ...]] [--env-file ENV_FILE]
+
+optional arguments:
+  -h, --help            show this help message and exit
+
+torchrunx:
+  --hostnames HOSTNAMES [HOSTNAMES ...]
+                        Nodes to launch the function on. Default: 'auto'. Use
+                        'slurm' to infer from SLURM.
+  --workers-per-host WORKERS_PER_HOST [WORKERS_PER_HOST ...]
+                        Processes to run per node. Can be 'cpu', 'gpu', or
+                        list[int]. Default: 'gpu'.
+  --ssh-config-file SSH_CONFIG_FILE
+                        Path to SSH config file. Default: '~/.ssh/config' or
+                        '/etc/ssh/ssh_config'.
+  --backend {nccl,gloo,mpi,ucc,None}
+                        For worker process group. Default: 'nccl'. Use 'gloo'
+                        for CPU. 'None' to disable.
+  --timeout TIMEOUT     Worker process group timeout in seconds. Default: 600.
+  --copy-env-vars COPY_ENV_VARS [COPY_ENV_VARS ...]
+                        Environment variables to copy to workers. Supports
+                        Unix pattern matching.
+  --extra-env-vars [EXTRA_ENV_VARS ...]
+                        Additional environment variables as key=value pairs.
+  --env-file ENV_FILE   Path to a .env file with environment variables.
diff --git a/docs/source/artifacts/deepspeed_help.txt b/docs/source/artifacts/deepspeed_help.txt
new file mode 100644
index 00000000..36cccd4a
--- /dev/null
+++ b/docs/source/artifacts/deepspeed_help.txt
@@ -0,0 +1,56 @@
+[2025-02-23 16:02:38,914] [WARNING] [real_accelerator.py:181:get_accelerator] Setting accelerator to CPU. If you have GPU or other accelerator, we were unable to detect it.
+[2025-02-23 16:02:38,930] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cpu (auto detect)
+usage: deepspeed_train.py [-h] [OPTIONS]
+
+╭─ options ──────────────────────────────────────────────────────────────────╮
+│ -h, --help                                                                 │
+│     show this help message and exit                                        │
+│ --model-name STR                                                           │
+│     (required)                                                             │
+│ --deepspeed-config PATH                                                    │
+│     (required)                                                             │
+│ --checkpoint-dir PATH                                                      │
+│     (required)                                                             │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ dataset options ──────────────────────────────────────────────────────────╮
+│ --dataset.path STR                                                         │
+│     (required)                                                             │
+│ --dataset.name {None}|STR                                                  │
+│     (default: None)                                                        │
+│ --dataset.split {None}|STR                                                 │
+│     (default: None)                                                        │
+│ --dataset.text-column STR                                                  │
+│     (default: text)                                                        │
+│ --dataset.num-samples {None}|INT                                           │
+│     (default: None)                                                        │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ launcher options ─────────────────────────────────────────────────────────╮
+│ For configuring the function launch environment.                           │
+│ ────────────────────────────────────────────────────────────────────────── │
+│ --launcher.hostnames {[STR [STR ...]]}|{auto,slurm}                        │
+│     Nodes to launch the function on. By default, infer from SLURM, else    │
+│     ``["localhost"]``. (default: auto)                                     │
+│ --launcher.workers-per-host INT|{[INT [INT ...]]}|{cpu,gpu}                │
+│     Number of processes to run per node. By default, number of GPUs per    │
+│     host. (default: gpu)                                                   │
+│ --launcher.ssh-config-file {None}|STR|PATHLIKE                             │
+│     For connecting to nodes. By default, ``"~/.ssh/config"`` or            │
+│     ``"/etc/ssh/ssh_config"``. (default: None)                             │
+│ --launcher.backend {None,nccl,gloo,mpi,ucc}                                │
+│     `Backend                                                               │
+│     <https://pytorch.org/docs/stable/distributed.html#torch.distributed.B… │
+│             for worker process group. By default, NCCL (GPU backend).      │
+│             Use GLOO for CPU backend. ``None`` for no process group.       │
+│     (default: nccl)                                                        │
+│ --launcher.timeout INT                                                     │
+│     Worker process group timeout (seconds). (default: 600)                 │
+│ --launcher.copy-env-vars [STR [STR ...]]                                   │
+│     Environment variables to copy from the launcher process to workers.    │
+│     Supports Unix pattern matching syntax. (default: PATH LD_LIBRARY       │
+│     LIBRARY_PATH 'PYTHON*' 'CUDA*' 'TORCH*' 'PYTORCH*' 'NCCL*')            │
+│ --launcher.extra-env-vars {None}|{[STR STR [STR STR ...]]}                 │
+│     Additional environment variables to load onto workers. (default: None) │
+│ --launcher.env-file {None}|STR|PATHLIKE                                    │
+│     Path to a ``.env`` file, containing environment variables to load onto │
+│     workers. (default: None)                                               │
+╰────────────────────────────────────────────────────────────────────────────╯
diff --git a/docs/source/artifacts/lightning_help.txt b/docs/source/artifacts/lightning_help.txt
new file mode 100644
index 00000000..d330ea34
--- /dev/null
+++ b/docs/source/artifacts/lightning_help.txt
@@ -0,0 +1,52 @@
+usage: lightning_train.py [-h] [OPTIONS]
+
+╭─ options ──────────────────────────────────────────────────────────────────╮
+│ -h, --help                                                                 │
+│     show this help message and exit                                        │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ launcher options ─────────────────────────────────────────────────────────╮
+│ For configuring the function launch environment.                           │
+│ ────────────────────────────────────────────────────────────────────────── │
+│ --launcher.hostnames {[STR [STR ...]]}|{auto,slurm}                        │
+│     Nodes to launch the function on. By default, infer from SLURM, else    │
+│     ``["localhost"]``. (default: auto)                                     │
+│ --launcher.workers-per-host INT|{[INT [INT ...]]}|{cpu,gpu}                │
+│     Number of processes to run per node. By default, number of GPUs per    │
+│     host. (default: gpu)                                                   │
+│ --launcher.ssh-config-file {None}|STR|PATHLIKE                             │
+│     For connecting to nodes. By default, ``"~/.ssh/config"`` or            │
+│     ``"/etc/ssh/ssh_config"``. (default: None)                             │
+│ --launcher.backend {None,nccl,gloo,mpi,ucc}                                │
+│     `Backend                                                               │
+│     <https://pytorch.org/docs/stable/distributed.html#torch.distributed.B… │
+│             for worker process group. By default, NCCL (GPU backend).      │
+│             Use GLOO for CPU backend. ``None`` for no process group.       │
+│     (default: nccl)                                                        │
+│ --launcher.timeout INT                                                     │
+│     Worker process group timeout (seconds). (default: 600)                 │
+│ --launcher.copy-env-vars [STR [STR ...]]                                   │
+│     Environment variables to copy from the launcher process to workers.    │
+│     Supports Unix pattern matching syntax. (default: PATH LD_LIBRARY       │
+│     LIBRARY_PATH 'PYTHON*' 'CUDA*' 'TORCH*' 'PYTORCH*' 'NCCL*')            │
+│ --launcher.extra-env-vars {None}|{[STR STR [STR STR ...]]}                 │
+│     Additional environment variables to load onto workers. (default: None) │
+│ --launcher.env-file {None}|STR|PATHLIKE                                    │
+│     Path to a ``.env`` file, containing environment variables to load onto │
+│     workers. (default: None)                                               │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ model options ────────────────────────────────────────────────────────────╮
+│ --model.name STR                                                           │
+│     (required)                                                             │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ dataset options ──────────────────────────────────────────────────────────╮
+│ --dataset.path STR                                                         │
+│     (required)                                                             │
+│ --dataset.name {None}|STR                                                  │
+│     (default: None)                                                        │
+│ --dataset.split {None}|STR                                                 │
+│     (default: None)                                                        │
+│ --dataset.text-column STR                                                  │
+│     (default: text)                                                        │
+│ --dataset.num-samples {None}|INT                                           │
+│     (default: None)                                                        │
+╰────────────────────────────────────────────────────────────────────────────╯
diff --git a/docs/source/artifacts/torchrun.png b/docs/source/artifacts/torchrun.png
new file mode 100644
index 00000000..a65a978f
Binary files /dev/null and b/docs/source/artifacts/torchrun.png differ
diff --git a/docs/source/artifacts/torchrunx.excalidraw b/docs/source/artifacts/torchrunx.excalidraw
new file mode 100644
index 00000000..6124ea97
--- /dev/null
+++ b/docs/source/artifacts/torchrunx.excalidraw
@@ -0,0 +1,1172 @@
+{
+  "type": "excalidraw",
+  "version": 2,
+  "source": "https://excalidraw.com",
+  "elements": [
+    {
+      "id": "zbTyQBj2zMEpRniwm6vef",
+      "type": "rectangle",
+      "x": 652,
+      "y": 271,
+      "width": 234.00000000000006,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a0",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 505945138,
+      "version": 720,
+      "versionNonce": 1966740014,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "wRG0w4yknudBGdjajGAZV"
+        },
+        {
+          "id": "5GLTqoMGI989f-2i-aD57",
+          "type": "arrow"
+        },
+        {
+          "id": "NgOmhbF4z19Gbz7EEMUf7",
+          "type": "arrow"
+        },
+        {
+          "id": "1SZe20rFW3gEH3Y3t6DWG",
+          "type": "arrow"
+        },
+        {
+          "id": "XqSuGur15Q5yk0F0b4HUr",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740176613147,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "wRG0w4yknudBGdjajGAZV",
+      "type": "text",
+      "x": 720.8680038452148,
+      "y": 309,
+      "width": 96.26399230957031,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a0V",
+      "roundness": null,
+      "seed": 2104416814,
+      "version": 428,
+      "versionNonce": 1325351474,
+      "isDeleted": false,
+      "boundElements": null,
+      "updated": 1740176355990,
+      "link": null,
+      "locked": false,
+      "text": "Node 0",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "zbTyQBj2zMEpRniwm6vef",
+      "originalText": "Node 0",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "rovF6d_5pvRilZ2ff7uEL",
+      "type": "rectangle",
+      "x": 532,
+      "y": 449.5,
+      "width": 234.00000000000006,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a2",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 773571118,
+      "version": 316,
+      "versionNonce": 778480882,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "seHnEWZeJUVLdLuGTjLxA"
+        },
+        {
+          "id": "5GLTqoMGI989f-2i-aD57",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740174662104,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "seHnEWZeJUVLdLuGTjLxA",
+      "type": "text",
+      "x": 605.8600006103516,
+      "y": 467.5,
+      "width": 86.27999877929688,
+      "height": 75,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a3",
+      "roundness": null,
+      "seed": 771705966,
+      "version": 316,
+      "versionNonce": 2042478702,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176364171,
+      "link": null,
+      "locked": false,
+      "text": "Worker 0\n\nfunc()",
+      "fontSize": 20,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "rovF6d_5pvRilZ2ff7uEL",
+      "originalText": "Worker 0\n\nfunc()",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "a5wj7WKZHDZFLrzRYkxTC",
+      "type": "rectangle",
+      "x": 797,
+      "y": 451.5,
+      "width": 234.00000000000006,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a4",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 2099170222,
+      "version": 288,
+      "versionNonce": 1032314798,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "4R024pW67u-l-Ej7QIIJw"
+        },
+        {
+          "id": "NgOmhbF4z19Gbz7EEMUf7",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740174665343,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "4R024pW67u-l-Ej7QIIJw",
+      "type": "text",
+      "x": 873.2299995422363,
+      "y": 469.5,
+      "width": 81.54000091552734,
+      "height": 75,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a5",
+      "roundness": null,
+      "seed": 182789614,
+      "version": 290,
+      "versionNonce": 1789462126,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176603021,
+      "link": null,
+      "locked": false,
+      "text": "Worker 1\n\nfunc()",
+      "fontSize": 20,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "a5wj7WKZHDZFLrzRYkxTC",
+      "originalText": "Worker 1\n\nfunc()",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "5GLTqoMGI989f-2i-aD57",
+      "type": "arrow",
+      "x": 756.4730334552976,
+      "y": 385,
+      "width": 101.23229411435489,
+      "height": 63.5,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a6",
+      "roundness": null,
+      "seed": 1917055986,
+      "version": 888,
+      "versionNonce": 625073838,
+      "isDeleted": false,
+      "boundElements": null,
+      "updated": 1740176613148,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -101.23229411435489,
+          63.5
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "zbTyQBj2zMEpRniwm6vef",
+        "focus": -0.3929084255951475,
+        "gap": 3,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "rovF6d_5pvRilZ2ff7uEL",
+        "focus": -0.3641139292456698,
+        "gap": 1,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    },
+    {
+      "id": "NgOmhbF4z19Gbz7EEMUf7",
+      "type": "arrow",
+      "x": 905.8832447165294,
+      "y": 449.75,
+      "width": 104.99838736273296,
+      "height": 65.5,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a7",
+      "roundness": null,
+      "seed": 70894706,
+      "version": 985,
+      "versionNonce": 53336302,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176613148,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -104.99838736273296,
+          -65.5
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "a5wj7WKZHDZFLrzRYkxTC",
+        "focus": 0.3519214473364005,
+        "gap": 1.75,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "zbTyQBj2zMEpRniwm6vef",
+        "focus": 0.2946575558356386,
+        "gap": 2.25,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    },
+    {
+      "id": "1330JdjSdlmIWVyx0B-Xg",
+      "type": "rectangle",
+      "x": 1272.5,
+      "y": 269.25,
+      "width": 234.00000000000006,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a8",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 808650990,
+      "version": 349,
+      "versionNonce": 1907125550,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "YT_gkn-xgzAN-yLHlokvV"
+        },
+        {
+          "id": "YH0Hou1x3IxMRaHKhlpf4",
+          "type": "arrow"
+        },
+        {
+          "id": "FyeB686eFBJxVNw1Oa7ek",
+          "type": "arrow"
+        },
+        {
+          "id": "1SZe20rFW3gEH3Y3t6DWG",
+          "type": "arrow"
+        },
+        {
+          "id": "eLJWDVcj-RtodFYVzBCvF",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740176599439,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "YT_gkn-xgzAN-yLHlokvV",
+      "type": "text",
+      "x": 1344.6860008239746,
+      "y": 307.25,
+      "width": 89.62799835205078,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "a9",
+      "roundness": null,
+      "seed": 1660926766,
+      "version": 314,
+      "versionNonce": 62876466,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176353552,
+      "link": null,
+      "locked": false,
+      "text": "Node 1",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "1330JdjSdlmIWVyx0B-Xg",
+      "originalText": "Node 1",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "2AZNOiyV-U5FYjLOAMmEx",
+      "type": "rectangle",
+      "x": 1143.5,
+      "y": 450.75,
+      "width": 234.00000000000006,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aA",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 1979458926,
+      "version": 393,
+      "versionNonce": 2065847730,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "oT-8xRM19ADrDjhUknYjA"
+        },
+        {
+          "id": "YH0Hou1x3IxMRaHKhlpf4",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740174674755,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "oT-8xRM19ADrDjhUknYjA",
+      "type": "text",
+      "x": 1217.9199981689453,
+      "y": 468.75,
+      "width": 85.16000366210938,
+      "height": 75,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aB",
+      "roundness": null,
+      "seed": 980502446,
+      "version": 395,
+      "versionNonce": 1881841970,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176603772,
+      "link": null,
+      "locked": false,
+      "text": "Worker 3\n\nfunc()",
+      "fontSize": 20,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "2AZNOiyV-U5FYjLOAMmEx",
+      "originalText": "Worker 3\n\nfunc()",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "N-Rse91xaWv9pJYypwTGf",
+      "type": "rectangle",
+      "x": 1408.5,
+      "y": 452.75,
+      "width": 234.00000000000006,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aC",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 1887969774,
+      "version": 367,
+      "versionNonce": 1661653422,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "QpwDmt650XtDCU1rlyIen"
+        },
+        {
+          "id": "FyeB686eFBJxVNw1Oa7ek",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740174684955,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "QpwDmt650XtDCU1rlyIen",
+      "type": "text",
+      "x": 1483.150001525879,
+      "y": 470.75,
+      "width": 84.69999694824219,
+      "height": 75,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aD",
+      "roundness": null,
+      "seed": 1799992366,
+      "version": 371,
+      "versionNonce": 1429615918,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176604747,
+      "link": null,
+      "locked": false,
+      "text": "Worker 4\n\nfunc()",
+      "fontSize": 20,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "N-Rse91xaWv9pJYypwTGf",
+      "originalText": "Worker 4\n\nfunc()",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "YH0Hou1x3IxMRaHKhlpf4",
+      "type": "arrow",
+      "x": 1376.4639423359017,
+      "y": 383.25,
+      "width": 109.72320299495902,
+      "height": 66.5,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aE",
+      "roundness": null,
+      "seed": 882835054,
+      "version": 794,
+      "versionNonce": 809670510,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176599440,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -109.72320299495902,
+          66.5
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "1330JdjSdlmIWVyx0B-Xg",
+        "focus": -0.4002778944318694,
+        "gap": 3,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "2AZNOiyV-U5FYjLOAMmEx",
+        "focus": -0.3641139292456705,
+        "gap": 1,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    },
+    {
+      "id": "FyeB686eFBJxVNw1Oa7ek",
+      "type": "arrow",
+      "x": 1522.9259426926558,
+      "y": 451,
+      "width": 110.42790749915048,
+      "height": 69.5,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aF",
+      "roundness": null,
+      "seed": 827392174,
+      "version": 1079,
+      "versionNonce": 119110062,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176599440,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -110.42790749915048,
+          -69.5
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "PI4sV8zwiTr-28Pxyd1ec",
+        "focus": 0.7552450698038226,
+        "gap": 1,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "1330JdjSdlmIWVyx0B-Xg",
+        "focus": 0.3273729896602605,
+        "gap": 1.25,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    },
+    {
+      "id": "PI4sV8zwiTr-28Pxyd1ec",
+      "type": "rectangle",
+      "x": 518,
+      "y": 422,
+      "width": 1136,
+      "height": 189,
+      "angle": 0,
+      "strokeColor": "#f08c00",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "dashed",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aG",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 1929557038,
+      "version": 211,
+      "versionNonce": 1093091954,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "id": "FyeB686eFBJxVNw1Oa7ek",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740174730770,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "I9YPxqxnDdzEhvG8dQGJk",
+      "type": "text",
+      "x": 885,
+      "y": 618,
+      "width": 367.0240173339844,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#f08c00",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "dashed",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aH",
+      "roundness": null,
+      "seed": 1343813294,
+      "version": 181,
+      "versionNonce": 1322831538,
+      "isDeleted": false,
+      "boundElements": null,
+      "updated": 1740174862918,
+      "link": null,
+      "locked": false,
+      "text": "Distributed Process Group",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "left",
+      "verticalAlign": "top",
+      "containerId": null,
+      "originalText": "Distributed Process Group",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "2e7yA6cyOk-X17QGlsXMp",
+      "type": "text",
+      "x": 599,
+      "y": 567,
+      "width": 91.61599731445312,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "dashed",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aI",
+      "roundness": null,
+      "seed": 546471282,
+      "version": 44,
+      "versionNonce": 1704515566,
+      "isDeleted": false,
+      "boundElements": null,
+      "updated": 1740174763080,
+      "link": null,
+      "locked": false,
+      "text": "GPU 0",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "left",
+      "verticalAlign": "top",
+      "containerId": null,
+      "originalText": "GPU 0",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "9b97dxMyuC36uJkTxVotg",
+      "type": "text",
+      "x": 873.1920013427734,
+      "y": 567.5,
+      "width": 84.9800033569336,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#e03131",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "dashed",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aJ",
+      "roundness": null,
+      "seed": 1501181038,
+      "version": 109,
+      "versionNonce": 1219377266,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740174775656,
+      "link": null,
+      "locked": false,
+      "text": "GPU 1",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "left",
+      "verticalAlign": "top",
+      "containerId": null,
+      "originalText": "GPU 1",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "g84A4M7P3BCP_iphUsLxh",
+      "type": "text",
+      "x": 1210.4139976501465,
+      "y": 567.25,
+      "width": 91.61599731445312,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "dashed",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aK",
+      "roundness": null,
+      "seed": 1522665774,
+      "version": 107,
+      "versionNonce": 833875250,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740174797062,
+      "link": null,
+      "locked": false,
+      "text": "GPU 0",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "left",
+      "verticalAlign": "top",
+      "containerId": null,
+      "originalText": "GPU 0",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "XYNY_a0FO1i0pK05ZY1XJ",
+      "type": "text",
+      "x": 1484.60599899292,
+      "y": 567.75,
+      "width": 84.9800033569336,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#2f9e44",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "dashed",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aL",
+      "roundness": null,
+      "seed": 474264430,
+      "version": 172,
+      "versionNonce": 1706178286,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740174797062,
+      "link": null,
+      "locked": false,
+      "text": "GPU 1",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "left",
+      "verticalAlign": "top",
+      "containerId": null,
+      "originalText": "GPU 1",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "E11K2jwevBDlwa4D9qamx",
+      "type": "rectangle",
+      "x": 951,
+      "y": 119.5,
+      "width": 290.99999999999994,
+      "height": 111,
+      "angle": 0,
+      "strokeColor": "#9c36b5",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aM",
+      "roundness": {
+        "type": 3
+      },
+      "seed": 1070646322,
+      "version": 1200,
+      "versionNonce": 1743739186,
+      "isDeleted": false,
+      "boundElements": [
+        {
+          "type": "text",
+          "id": "Q8xQGWfpwcwIOuxDNv1hm"
+        },
+        {
+          "id": "eLJWDVcj-RtodFYVzBCvF",
+          "type": "arrow"
+        },
+        {
+          "id": "XqSuGur15Q5yk0F0b4HUr",
+          "type": "arrow"
+        }
+      ],
+      "updated": 1740176617195,
+      "link": null,
+      "locked": false
+    },
+    {
+      "id": "Q8xQGWfpwcwIOuxDNv1hm",
+      "type": "text",
+      "x": 961.6660003662109,
+      "y": 157.5,
+      "width": 269.6679992675781,
+      "height": 35,
+      "angle": 0,
+      "strokeColor": "#9c36b5",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aN",
+      "roundness": null,
+      "seed": 827158002,
+      "version": 939,
+      "versionNonce": 1412664046,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176617195,
+      "link": null,
+      "locked": false,
+      "text": "Launcher.run( func )",
+      "fontSize": 28,
+      "fontFamily": 5,
+      "textAlign": "center",
+      "verticalAlign": "middle",
+      "containerId": "E11K2jwevBDlwa4D9qamx",
+      "originalText": "Launcher.run( func )",
+      "autoResize": true,
+      "lineHeight": 1.25
+    },
+    {
+      "id": "XqSuGur15Q5yk0F0b4HUr",
+      "type": "arrow",
+      "x": 1067.1576596055068,
+      "y": 233.5,
+      "width": 179.65685328687323,
+      "height": 97.81334318414304,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aO",
+      "roundness": null,
+      "seed": 1966561262,
+      "version": 2085,
+      "versionNonce": 1363421038,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176617196,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -179.65685328687323,
+          97.81334318414304
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "E11K2jwevBDlwa4D9qamx",
+        "focus": -0.3156599451093488,
+        "gap": 3,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "zbTyQBj2zMEpRniwm6vef",
+        "focus": 0.5821403196599255,
+        "gap": 1.500806318633522,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    },
+    {
+      "id": "1SZe20rFW3gEH3Y3t6DWG",
+      "type": "arrow",
+      "x": 1268,
+      "y": 339.36883544921875,
+      "width": 379.0051010904526,
+      "height": 0,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aP",
+      "roundness": null,
+      "seed": 1065308850,
+      "version": 1324,
+      "versionNonce": 773884718,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176613149,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -379.0051010904526,
+          0
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "1330JdjSdlmIWVyx0B-Xg",
+        "focus": -0.26340244052646394,
+        "gap": 4.5,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "zbTyQBj2zMEpRniwm6vef",
+        "focus": 0.23187090899493243,
+        "gap": 2.9948989095473735,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    },
+    {
+      "id": "eLJWDVcj-RtodFYVzBCvF",
+      "type": "arrow",
+      "x": 1269.0051010904529,
+      "y": 329.0458765353539,
+      "width": 140.72145101902947,
+      "height": 97.5458765353539,
+      "angle": 0,
+      "strokeColor": "#1971c2",
+      "backgroundColor": "transparent",
+      "fillStyle": "solid",
+      "strokeWidth": 2,
+      "strokeStyle": "solid",
+      "roughness": 1,
+      "opacity": 100,
+      "groupIds": [],
+      "frameId": null,
+      "index": "aQ",
+      "roundness": null,
+      "seed": 373648750,
+      "version": 2226,
+      "versionNonce": 1347171506,
+      "isDeleted": false,
+      "boundElements": [],
+      "updated": 1740176617195,
+      "link": null,
+      "locked": false,
+      "points": [
+        [
+          0,
+          0
+        ],
+        [
+          -140.72145101902947,
+          -97.5458765353539
+        ]
+      ],
+      "lastCommittedPoint": null,
+      "startBinding": {
+        "elementId": "1330JdjSdlmIWVyx0B-Xg",
+        "focus": -0.6490792163221619,
+        "gap": 3.494898909547146,
+        "fixedPoint": null
+      },
+      "endBinding": {
+        "elementId": "E11K2jwevBDlwa4D9qamx",
+        "focus": 0.2204429199326022,
+        "gap": 1,
+        "fixedPoint": null
+      },
+      "startArrowhead": "triangle",
+      "endArrowhead": "triangle",
+      "elbowed": false
+    }
+  ],
+  "appState": {
+    "gridSize": 20,
+    "gridStep": 5,
+    "gridModeEnabled": false,
+    "viewBackgroundColor": "#ffffff"
+  },
+  "files": {}
+}
\ No newline at end of file
diff --git a/docs/source/artifacts/torchrunx.png b/docs/source/artifacts/torchrunx.png
new file mode 100644
index 00000000..d85c4600
Binary files /dev/null and b/docs/source/artifacts/torchrunx.png differ
diff --git a/docs/source/artifacts/transformers_help.txt b/docs/source/artifacts/transformers_help.txt
new file mode 100644
index 00000000..0ec9e1e2
--- /dev/null
+++ b/docs/source/artifacts/transformers_help.txt
@@ -0,0 +1,486 @@
+usage: transformers_train.py [-h] [OPTIONS]
+
+╭─ options ──────────────────────────────────────────────────────────────────╮
+│ -h, --help                                                                 │
+│     show this help message and exit                                        │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ launcher options ─────────────────────────────────────────────────────────╮
+│ For configuring the function launch environment.                           │
+│ ────────────────────────────────────────────────────────────────────────── │
+│ --launcher.hostnames {[STR [STR ...]]}|{auto,slurm}                        │
+│     Nodes to launch the function on. By default, infer from SLURM, else    │
+│     ``["localhost"]``. (default: auto)                                     │
+│ --launcher.workers-per-host INT|{[INT [INT ...]]}|{cpu,gpu}                │
+│     Number of processes to run per node. By default, number of GPUs per    │
+│     host. (default: gpu)                                                   │
+│ --launcher.ssh-config-file {None}|STR|PATHLIKE                             │
+│     For connecting to nodes. By default, ``"~/.ssh/config"`` or            │
+│     ``"/etc/ssh/ssh_config"``. (default: None)                             │
+│ --launcher.backend {None,nccl,gloo,mpi,ucc}                                │
+│     `Backend                                                               │
+│     <https://pytorch.org/docs/stable/distributed.html#torch.distributed.B… │
+│             for worker process group. By default, NCCL (GPU backend).      │
+│             Use GLOO for CPU backend. ``None`` for no process group.       │
+│     (default: nccl)                                                        │
+│ --launcher.timeout INT                                                     │
+│     Worker process group timeout (seconds). (default: 600)                 │
+│ --launcher.copy-env-vars [STR [STR ...]]                                   │
+│     Environment variables to copy from the launcher process to workers.    │
+│     Supports Unix pattern matching syntax. (default: PATH LD_LIBRARY       │
+│     LIBRARY_PATH 'PYTHON*' 'CUDA*' 'TORCH*' 'PYTORCH*' 'NCCL*')            │
+│ --launcher.extra-env-vars {None}|{[STR STR [STR STR ...]]}                 │
+│     Additional environment variables to load onto workers. (default: None) │
+│ --launcher.env-file {None}|STR|PATHLIKE                                    │
+│     Path to a ``.env`` file, containing environment variables to load onto │
+│     workers. (default: None)                                               │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ model options ────────────────────────────────────────────────────────────╮
+│ --model.name STR                                                           │
+│     (required)                                                             │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ dataset options ──────────────────────────────────────────────────────────╮
+│ --dataset.path STR                                                         │
+│     (required)                                                             │
+│ --dataset.name {None}|STR                                                  │
+│     (default: None)                                                        │
+│ --dataset.split {None}|STR                                                 │
+│     (default: None)                                                        │
+│ --dataset.text-column STR                                                  │
+│     (default: text)                                                        │
+│ --dataset.num-samples {None}|INT                                           │
+│     (default: None)                                                        │
+╰────────────────────────────────────────────────────────────────────────────╯
+╭─ trainer options ──────────────────────────────────────────────────────────╮
+│ --trainer.output-dir {None}|STR                                            │
+│     The output directory where the model predictions and checkpoints will  │
+│     be written. Defaults to 'trainer_output' if not provided. (default:    │
+│     None)                                                                  │
+│ --trainer.overwrite-output-dir, --trainer.no-overwrite-output-dir          │
+│     Overwrite the content of the output directory. Use this to continue    │
+│     training if output_dir points to a checkpoint directory. (default:     │
+│     False)                                                                 │
+│ --trainer.do-train, --trainer.no-do-train                                  │
+│     Whether to run training. (default: False)                              │
+│ --trainer.do-eval, --trainer.no-do-eval                                    │
+│     Whether to run eval on the dev set. (default: False)                   │
+│ --trainer.do-predict, --trainer.no-do-predict                              │
+│     Whether to run predictions on the test set. (default: False)           │
+│ --trainer.eval-strategy {NO,STEPS,EPOCH}|STR                               │
+│     The evaluation strategy to use. (default: no)                          │
+│ --trainer.prediction-loss-only, --trainer.no-prediction-loss-only          │
+│     When performing evaluation and predictions, only returns the loss.     │
+│     (default: False)                                                       │
+│ --trainer.per-device-train-batch-size INT                                  │
+│     Batch size per GPU/TPU/MPS/NPU core/CPU for training. (default: 8)     │
+│ --trainer.per-device-eval-batch-size INT                                   │
+│     Batch size per GPU/TPU/MPS/NPU core/CPU for evaluation. (default: 8)   │
+│ --trainer.per-gpu-train-batch-size {None}|INT                              │
+│     Deprecated, the use of `--per_device_train_batch_size` is preferred.   │
+│     Batch size per GPU/TPU core/CPU for training. (default: None)          │
+│ --trainer.per-gpu-eval-batch-size {None}|INT                               │
+│     Deprecated, the use of `--per_device_eval_batch_size` is preferred.    │
+│     Batch size per GPU/TPU core/CPU for evaluation. (default: None)        │
+│ --trainer.gradient-accumulation-steps INT                                  │
+│     Number of updates steps to accumulate before performing a              │
+│     backward/update pass. (default: 1)                                     │
+│ --trainer.eval-accumulation-steps {None}|INT                               │
+│     Number of predictions steps to accumulate before moving the tensors to │
+│     the CPU. (default: None)                                               │
+│ --trainer.eval-delay {None}|FLOAT                                          │
+│     Number of epochs or steps to wait for before the first evaluation can  │
+│     be performed, depending on the eval_strategy. (default: 0)             │
+│ --trainer.torch-empty-cache-steps {None}|INT                               │
+│     Number of steps to wait before calling                                 │
+│     `torch.<device>.empty_cache()`.This can help avoid CUDA out-of-memory  │
+│     errors by lowering peak VRAM usage at a cost of about [10% slower      │
+│     performance](https://github.com/huggingface/transformers/issues/31372… │
+│     left unset or set to None, cache will not be emptied. (default: None)  │
+│ --trainer.learning-rate FLOAT                                              │
+│     The initial learning rate for AdamW. (default: 5e-05)                  │
+│ --trainer.weight-decay FLOAT                                               │
+│     Weight decay for AdamW if we apply some. (default: 0.0)                │
+│ --trainer.adam-beta1 FLOAT                                                 │
+│     Beta1 for AdamW optimizer (default: 0.9)                               │
+│ --trainer.adam-beta2 FLOAT                                                 │
+│     Beta2 for AdamW optimizer (default: 0.999)                             │
+│ --trainer.adam-epsilon FLOAT                                               │
+│     Epsilon for AdamW optimizer. (default: 1e-08)                          │
+│ --trainer.max-grad-norm FLOAT                                              │
+│     Max gradient norm. (default: 1.0)                                      │
+│ --trainer.num-train-epochs FLOAT                                           │
+│     Total number of training epochs to perform. (default: 3.0)             │
+│ --trainer.max-steps INT                                                    │
+│     If > 0: set total number of training steps to perform. Override        │
+│     num_train_epochs. (default: -1)                                        │
+│ --trainer.lr-scheduler-type                                                │
+│ {LINEAR,COSINE,COSINE_WITH_RESTARTS,POLYNOMIAL,CONSTANT,CONSTANT_WITH_WAR… │
+│     The scheduler type to use. (default: linear)                           │
+│ --trainer.lr-scheduler-kwargs {None}|{[STR STR [STR STR ...]]}|STR         │
+│     Extra parameters for the lr_scheduler such as {'num_cycles': 1} for    │
+│     the cosine with hard restarts. (default: )                             │
+│ --trainer.warmup-ratio FLOAT                                               │
+│     Linear warmup over warmup_ratio fraction of total steps. (default:     │
+│     0.0)                                                                   │
+│ --trainer.warmup-steps INT                                                 │
+│     Linear warmup over warmup_steps. (default: 0)                          │
+│ --trainer.log-level {None}|STR                                             │
+│     Logger log level to use on the main node. Possible choices are the log │
+│     levels as strings: 'debug', 'info', 'warning', 'error' and 'critical', │
+│     plus a 'passive' level which doesn't set anything and lets the         │
+│     application set the level. Defaults to 'passive'. (default: passive)   │
+│ --trainer.log-level-replica {None}|STR                                     │
+│     Logger log level to use on replica nodes. Same choices and defaults as │
+│     ``log_level`` (default: warning)                                       │
+│ --trainer.log-on-each-node, --trainer.no-log-on-each-node                  │
+│     When doing a multinode distributed training, whether to log once per   │
+│     node or just once on the main node. (default: True)                    │
+│ --trainer.logging-dir {None}|STR                                           │
+│     Tensorboard log dir. (default: None)                                   │
+│ --trainer.logging-strategy {NO,STEPS,EPOCH}|STR                            │
+│     The logging strategy to use. (default: steps)                          │
+│ --trainer.logging-first-step, --trainer.no-logging-first-step              │
+│     Log the first global_step (default: False)                             │
+│ --trainer.logging-steps FLOAT                                              │
+│     Log every X updates steps. Should be an integer or a float in range    │
+│     `[0,1)`. If smaller than 1, will be interpreted as ratio of total      │
+│     training steps. (default: 500)                                         │
+│ --trainer.logging-nan-inf-filter, --trainer.no-logging-nan-inf-filter      │
+│     Filter nan and inf losses for logging. (default: True)                 │
+│ --trainer.save-strategy {NO,STEPS,EPOCH,BEST}|STR                          │
+│     The checkpoint save strategy to use. (default: steps)                  │
+│ --trainer.save-steps FLOAT                                                 │
+│     Save checkpoint every X updates steps. Should be an integer or a float │
+│     in range `[0,1)`. If smaller than 1, will be interpreted as ratio of   │
+│     total training steps. (default: 500)                                   │
+│ --trainer.save-total-limit {None}|INT                                      │
+│     If a value is passed, will limit the total amount of checkpoints.      │
+│     Deletes the older checkpoints in `output_dir`. When                    │
+│     `load_best_model_at_end` is enabled, the 'best' checkpoint according   │
+│     to `metric_for_best_model` will always be retained in addition to the  │
+│     most recent ones. For example, for `save_total_limit=5` and            │
+│     `load_best_model_at_end=True`, the four last checkpoints will always   │
+│     be retained alongside the best model. When `save_total_limit=1` and    │
+│     `load_best_model_at_end=True`, it is possible that two checkpoints are │
+│     saved: the last one and the best one (if they are different). Default  │
+│     is unlimited checkpoints (default: None)                               │
+│ --trainer.save-safetensors {None,True,False}                               │
+│     Use safetensors saving and loading for state dicts instead of default  │
+│     torch.load and torch.save. (default: True)                             │
+│ --trainer.save-on-each-node, --trainer.no-save-on-each-node                │
+│     When doing multi-node distributed training, whether to save models and │
+│     checkpoints on each node, or only on the main one (default: False)     │
+│ --trainer.save-only-model, --trainer.no-save-only-model                    │
+│     When checkpointing, whether to only save the model, or also the        │
+│     optimizer, scheduler & rng state.Note that when this is true, you      │
+│     won't be able to resume training from checkpoint.This enables you to   │
+│     save storage by not storing the optimizer, scheduler & rng state.You   │
+│     can only load the model using from_pretrained with this option set to  │
+│     True. (default: False)                                                 │
+│ --trainer.restore-callback-states-from-checkpoint,                         │
+│ --trainer.no-restore-callback-states-from-checkpoint                       │
+│     Whether to restore the callback states from the checkpoint. If `True`, │
+│     will override callbacks passed to the `Trainer` if they exist in the   │
+│     checkpoint. (default: False)                                           │
+│ --trainer.no-cuda, --trainer.no-no-cuda                                    │
+│     This argument is deprecated. It will be removed in version 5.0 of 🤗   │
+│     Transformers. (default: False)                                         │
+│ --trainer.use-cpu, --trainer.no-use-cpu                                    │
+│     Whether or not to use cpu. If set to False, we will use                │
+│     cuda/tpu/mps/npu device if available. (default: False)                 │
+│ --trainer.use-mps-device, --trainer.no-use-mps-device                      │
+│     This argument is deprecated. `mps` device will be used if available    │
+│     similar to `cuda` device. It will be removed in version 5.0 of 🤗      │
+│     Transformers (default: False)                                          │
+│ --trainer.seed INT                                                         │
+│     Random seed that will be set at the beginning of training. (default:   │
+│     42)                                                                    │
+│ --trainer.data-seed {None}|INT                                             │
+│     Random seed to be used with data samplers. (default: None)             │
+│ --trainer.jit-mode-eval, --trainer.no-jit-mode-eval                        │
+│     Whether or not to use PyTorch jit trace for inference (default: False) │
+│ --trainer.use-ipex, --trainer.no-use-ipex                                  │
+│     Use Intel extension for PyTorch when it is available, installation:    │
+│     'https://github.com/intel/intel-extension-for-pytorch' (default:       │
+│     False)                                                                 │
+│ --trainer.bf16, --trainer.no-bf16                                          │
+│     Whether to use bf16 (mixed) precision instead of 32-bit. Requires      │
+│     Ampere or higher NVIDIA architecture or using CPU (use_cpu) or Ascend  │
+│     NPU. This is an experimental API and it may change. (default: False)   │
+│ --trainer.fp16, --trainer.no-fp16                                          │
+│     Whether to use fp16 (mixed) precision instead of 32-bit (default:      │
+│     False)                                                                 │
+│ --trainer.fp16-opt-level STR                                               │
+│     For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2',   │
+│     and 'O3']. See details at https://nvidia.github.io/apex/amp.html       │
+│     (default: O1)                                                          │
+│ --trainer.half-precision-backend STR                                       │
+│     The backend to be used for half precision. (default: auto)             │
+│ --trainer.bf16-full-eval, --trainer.no-bf16-full-eval                      │
+│     Whether to use full bfloat16 evaluation instead of 32-bit. This is an  │
+│     experimental API and it may change. (default: False)                   │
+│ --trainer.fp16-full-eval, --trainer.no-fp16-full-eval                      │
+│     Whether to use full float16 evaluation instead of 32-bit (default:     │
+│     False)                                                                 │
+│ --trainer.tf32 {None,True,False}                                           │
+│     Whether to enable tf32 mode, available in Ampere and newer GPU         │
+│     architectures. This is an experimental API and it may change.          │
+│     (default: None)                                                        │
+│ --trainer.local-rank INT                                                   │
+│     For distributed training: local_rank (default: -1)                     │
+│ --trainer.ddp-backend {None}|STR                                           │
+│     The backend to be used for distributed training (default: None)        │
+│ --trainer.tpu-num-cores {None}|INT                                         │
+│     TPU: Number of TPU cores (automatically passed by launcher script)     │
+│     (default: None)                                                        │
+│ --trainer.tpu-metrics-debug, --trainer.no-tpu-metrics-debug                │
+│     Deprecated, the use of `--debug tpu_metrics_debug` is preferred. TPU:  │
+│     Whether to print debug metrics (default: False)                        │
+│ --trainer.debug STR|{[{UNDERFLOW_OVERFLOW,TPU_METRICS_DEBUG} [...]]}       │
+│     Whether or not to enable debug mode. Current options:                  │
+│     `underflow_overflow` (Detect underflow and overflow in activations and │
+│     weights), `tpu_metrics_debug` (print debug metrics on TPU). (default:  │
+│     '')                                                                    │
+│ --trainer.dataloader-drop-last, --trainer.no-dataloader-drop-last          │
+│     Drop the last incomplete batch if it is not divisible by the batch     │
+│     size. (default: False)                                                 │
+│ --trainer.eval-steps {None}|FLOAT                                          │
+│     Run an evaluation every X steps. Should be an integer or a float in    │
+│     range `[0,1)`. If smaller than 1, will be interpreted as ratio of      │
+│     total training steps. (default: None)                                  │
+│ --trainer.dataloader-num-workers INT                                       │
+│     Number of subprocesses to use for data loading (PyTorch only). 0 means │
+│     that the data will be loaded in the main process. (default: 0)         │
+│ --trainer.dataloader-prefetch-factor {None}|INT                            │
+│     Number of batches loaded in advance by each worker. 2 means there will │
+│     be a total of 2 * num_workers batches prefetched across all workers.   │
+│     Default is 2 for PyTorch < 2.0.0 and otherwise None. (default: None)   │
+│ --trainer.past-index INT                                                   │
+│     If >=0, uses the corresponding part of the output as the past state    │
+│     for next step. (default: -1)                                           │
+│ --trainer.run-name {None}|STR                                              │
+│     An optional descriptor for the run. Notably used for wandb, mlflow and │
+│     comet logging. (default: None)                                         │
+│ --trainer.disable-tqdm {None,True,False}                                   │
+│     Whether or not to disable the tqdm progress bars. (default: None)      │
+│ --trainer.remove-unused-columns {None,True,False}                          │
+│     Remove columns not required by the model when using an nlp.Dataset.    │
+│     (default: True)                                                        │
+│ --trainer.label-names {None}|{[STR [STR ...]]}                             │
+│     The list of keys in your dictionary of inputs that correspond to the   │
+│     labels. (default: None)                                                │
+│ --trainer.load-best-model-at-end {None,True,False}                         │
+│     Whether or not to load the best model found during training at the end │
+│     of training. When this option is enabled, the best checkpoint will     │
+│     always be saved. See `save_total_limit` for more. (default: False)     │
+│ --trainer.metric-for-best-model {None}|STR                                 │
+│     The metric to use to compare two different models. (default: None)     │
+│ --trainer.greater-is-better {None,True,False}                              │
+│     Whether the `metric_for_best_model` should be maximized or not.        │
+│     (default: None)                                                        │
+│ --trainer.ignore-data-skip, --trainer.no-ignore-data-skip                  │
+│     When resuming training, whether or not to skip the first epochs and    │
+│     batches to get to the same training data. (default: False)             │
+│ --trainer.fsdp                                                             │
+│ {None}|{[{FULL_SHARD,SHARD_GRAD_OP,NO_SHARD,HYBRID_SHARD,HYBRID_SHARD_ZER… │
+│ [...]]}|STR                                                                │
+│     Whether or not to use PyTorch Fully Sharded Data Parallel (FSDP)       │
+│     training (in distributed training only). The base option should be     │
+│     `full_shard`, `shard_grad_op` or `no_shard` and you can add            │
+│     CPU-offload to `full_shard` or `shard_grad_op` like this: full_shard   │
+│     offload` or `shard_grad_op offload`. You can add auto-wrap to          │
+│     `full_shard` or `shard_grad_op` with the same syntax: full_shard       │
+│     auto_wrap` or `shard_grad_op auto_wrap`. (default: '')                 │
+│ --trainer.fsdp-min-num-params INT                                          │
+│     This parameter is deprecated. FSDP's minimum number of parameters for  │
+│     Default Auto Wrapping. (useful only when `fsdp` field is passed).      │
+│     (default: 0)                                                           │
+│ --trainer.fsdp-config {None}|{[STR STR [STR STR ...]]}|STR                 │
+│     Config to be used with FSDP (Pytorch Fully Sharded  Data Parallel).    │
+│     The value is either a fsdp json config file (e.g., `fsdp_config.json`) │
+│     or an already loaded json file as `dict`. (default: None)              │
+│ --trainer.fsdp-transformer-layer-cls-to-wrap {None}|STR                    │
+│     This parameter is deprecated. Transformer layer class name             │
+│     (case-sensitive) to wrap, e.g, `BertLayer`, `GPTJBlock`, `T5Block`     │
+│     .... (useful only when `fsdp` flag is passed). (default: None)         │
+│ --trainer.accelerator-config {None}|{[STR STR [STR STR ...]]}|STR          │
+│     Config to be used with the internal Accelerator object initializtion.  │
+│     The value is either a accelerator json config file (e.g.,              │
+│     `accelerator_config.json`) or an already loaded json file as `dict`.   │
+│     (default: None)                                                        │
+│ --trainer.deepspeed {None}|{[STR STR [STR STR ...]]}|STR                   │
+│     Enable deepspeed and pass the path to deepspeed json config file (e.g. │
+│     `ds_config.json`) or an already loaded json file as a dict (default:   │
+│     None)                                                                  │
+│ --trainer.label-smoothing-factor FLOAT                                     │
+│     The label smoothing epsilon to apply (zero means no label smoothing).  │
+│     (default: 0.0)                                                         │
+│ --trainer.optim                                                            │
+│ {ADAMW_HF,ADAMW_TORCH,ADAMW_TORCH_FUSED,ADAMW_TORCH_XLA,ADAMW_TORCH_NPU_F… │
+│     The optimizer to use. (default: adamw_torch)                           │
+│ --trainer.optim-args {None}|STR                                            │
+│     Optional arguments to supply to optimizer. (default: None)             │
+│ --trainer.adafactor, --trainer.no-adafactor                                │
+│     Whether or not to replace AdamW by Adafactor. (default: False)         │
+│ --trainer.group-by-length, --trainer.no-group-by-length                    │
+│     Whether or not to group samples of roughly the same length together    │
+│     when batching. (default: False)                                        │
+│ --trainer.length-column-name {None}|STR                                    │
+│     Column name with precomputed lengths to use when grouping by length.   │
+│     (default: length)                                                      │
+│ --trainer.report-to {None}|STR|{[STR [STR ...]]}                           │
+│     The list of integrations to report the results and logs to. (default:  │
+│     None)                                                                  │
+│ --trainer.ddp-find-unused-parameters {None,True,False}                     │
+│     When using distributed training, the value of the flag                 │
+│     `find_unused_parameters` passed to `DistributedDataParallel`.          │
+│     (default: None)                                                        │
+│ --trainer.ddp-bucket-cap-mb {None}|INT                                     │
+│     When using distributed training, the value of the flag `bucket_cap_mb` │
+│     passed to `DistributedDataParallel`. (default: None)                   │
+│ --trainer.ddp-broadcast-buffers {None,True,False}                          │
+│     When using distributed training, the value of the flag                 │
+│     `broadcast_buffers` passed to `DistributedDataParallel`. (default:     │
+│     None)                                                                  │
+│ --trainer.dataloader-pin-memory, --trainer.no-dataloader-pin-memory        │
+│     Whether or not to pin memory for DataLoader. (default: True)           │
+│ --trainer.dataloader-persistent-workers,                                   │
+│ --trainer.no-dataloader-persistent-workers                                 │
+│     If True, the data loader will not shut down the worker processes after │
+│     a dataset has been consumed once. This allows to maintain the workers  │
+│     Dataset instances alive. Can potentially speed up training, but will   │
+│     increase RAM usage. (default: False)                                   │
+│ --trainer.skip-memory-metrics, --trainer.no-skip-memory-metrics            │
+│     Whether or not to skip adding of memory profiler reports to metrics.   │
+│     (default: True)                                                        │
+│ --trainer.use-legacy-prediction-loop,                                      │
+│ --trainer.no-use-legacy-prediction-loop                                    │
+│     Whether or not to use the legacy prediction_loop in the Trainer.       │
+│     (default: False)                                                       │
+│ --trainer.push-to-hub, --trainer.no-push-to-hub                            │
+│     Whether or not to upload the trained model to the model hub after      │
+│     training. (default: False)                                             │
+│ --trainer.resume-from-checkpoint {None}|STR                                │
+│     The path to a folder with a valid checkpoint for your model. (default: │
+│     None)                                                                  │
+│ --trainer.hub-model-id {None}|STR                                          │
+│     The name of the repository to keep in sync with the local              │
+│     `output_dir`. (default: None)                                          │
+│ --trainer.hub-strategy {END,EVERY_SAVE,CHECKPOINT,ALL_CHECKPOINTS}|STR     │
+│     The hub strategy to use when `--push_to_hub` is activated. (default:   │
+│     every_save)                                                            │
+│ --trainer.hub-token {None}|STR                                             │
+│     The token to use to push to the Model Hub. (default: None)             │
+│ --trainer.hub-private-repo {None,True,False}                               │
+│     Whether to make the repo private. If `None` (default), the repo will   │
+│     be public unless the organization's default is private. This value is  │
+│     ignored if the repo already exists. (default: None)                    │
+│ --trainer.hub-always-push, --trainer.no-hub-always-push                    │
+│     Unless `True`, the Trainer will skip pushes if the previous one wasn't │
+│     finished yet. (default: False)                                         │
+│ --trainer.gradient-checkpointing, --trainer.no-gradient-checkpointing      │
+│     If True, use gradient checkpointing to save memory at the expense of   │
+│     slower backward pass. (default: False)                                 │
+│ --trainer.gradient-checkpointing-kwargs {None}|{[STR STR [STR STR          │
+│ ...]]}|STR                                                                 │
+│     Gradient checkpointing key word arguments such as `use_reentrant`.     │
+│     Will be passed to `torch.utils.checkpoint.checkpoint` through          │
+│     `model.gradient_checkpointing_enable`. (default: None)                 │
+│ --trainer.include-inputs-for-metrics,                                      │
+│ --trainer.no-include-inputs-for-metrics                                    │
+│     This argument is deprecated and will be removed in version 5 of 🤗     │
+│     Transformers. Use `include_for_metrics` instead. (default: False)      │
+│ --trainer.include-for-metrics [STR [STR ...]]                              │
+│     List of strings to specify additional data to include in the           │
+│     `compute_metrics` function.Options: 'inputs', 'loss'. (default: )      │
+│ --trainer.eval-do-concat-batches, --trainer.no-eval-do-concat-batches      │
+│     Whether to recursively concat inputs/losses/labels/predictions across  │
+│     batches. If `False`, will instead store them as lists, with each batch │
+│     kept separate. (default: True)                                         │
+│ --trainer.fp16-backend STR                                                 │
+│     Deprecated. Use half_precision_backend instead (default: auto)         │
+│ --trainer.evaluation-strategy {None,NO,STEPS,EPOCH}|STR                    │
+│     Deprecated. Use `eval_strategy` instead (default: None)                │
+│ --trainer.push-to-hub-model-id {None}|STR                                  │
+│     The name of the repository to which push the `Trainer`. (default:      │
+│     None)                                                                  │
+│ --trainer.push-to-hub-organization {None}|STR                              │
+│     The name of the organization in with to which push the `Trainer`.      │
+│     (default: None)                                                        │
+│ --trainer.push-to-hub-token {None}|STR                                     │
+│     The token to use to push to the Model Hub. (default: None)             │
+│ --trainer.mp-parameters STR                                                │
+│     Used by the SageMaker launcher to send mp-specific args. Ignored in    │
+│     Trainer (default: '')                                                  │
+│ --trainer.auto-find-batch-size, --trainer.no-auto-find-batch-size          │
+│     Whether to automatically decrease the batch size in half and rerun the │
+│     training loop again each time a CUDA Out-of-Memory was reached         │
+│     (default: False)                                                       │
+│ --trainer.full-determinism, --trainer.no-full-determinism                  │
+│     Whether to call enable_full_determinism instead of set_seed for        │
+│     reproducibility in distributed training. Important: this will          │
+│     negatively impact the performance, so only use it for debugging.       │
+│     (default: False)                                                       │
+│ --trainer.torchdynamo {None}|STR                                           │
+│     This argument is deprecated, use `--torch_compile_backend` instead.    │
+│     (default: None)                                                        │
+│ --trainer.ray-scope {None}|STR                                             │
+│     The scope to use when doing hyperparameter search with Ray. By         │
+│     default, `"last"` will be used. Ray will then use the last checkpoint  │
+│     of all trials, compare those, and select the best one. However, other  │
+│     options are also available. See the Ray documentation                  │
+│     (https://docs.ray.io/en/latest/tune/api_docs/analysis.html#ray.tune.E… │
+│     for more options. (default: last)                                      │
+│ --trainer.ddp-timeout {None}|INT                                           │
+│     Overrides the default timeout for distributed training (value should   │
+│     be given in seconds). (default: 1800)                                  │
+│ --trainer.torch-compile, --trainer.no-torch-compile                        │
+│     If set to `True`, the model will be wrapped in `torch.compile`.        │
+│     (default: False)                                                       │
+│ --trainer.torch-compile-backend {None}|STR                                 │
+│     Which backend to use with `torch.compile`, passing one will trigger a  │
+│     model compilation. (default: None)                                     │
+│ --trainer.torch-compile-mode {None}|STR                                    │
+│     Which mode to use with `torch.compile`, passing one will trigger a     │
+│     model compilation. (default: None)                                     │
+│ --trainer.dispatch-batches {None,True,False}                               │
+│     Deprecated. Pass {'dispatch_batches':VALUE} to `accelerator_config`.   │
+│     (default: None)                                                        │
+│ --trainer.split-batches {None,True,False}                                  │
+│     Deprecated. Pass {'split_batches':True} to `accelerator_config`.       │
+│     (default: None)                                                        │
+│ --trainer.include-tokens-per-second {None,True,False}                      │
+│     If set to `True`, the speed metrics will include `tgs` (tokens per     │
+│     second per device). (default: False)                                   │
+│ --trainer.include-num-input-tokens-seen {None,True,False}                  │
+│     If set to `True`, will track the number of input tokens seen           │
+│     throughout training. (May be slower in distributed training) (default: │
+│     False)                                                                 │
+│ --trainer.neftune-noise-alpha {None}|FLOAT                                 │
+│     Activates neftune noise embeddings into the model. NEFTune has been    │
+│     proven to drastically improve model performances for instrcution       │
+│     fine-tuning. Check out the original paper here:                        │
+│     https://arxiv.org/abs/2310.05914 and the original code here:           │
+│     https://github.com/neelsjain/NEFTune. Only supported for               │
+│     `PreTrainedModel` and `PeftModel` classes. (default: None)             │
+│ --trainer.optim-target-modules {None}|STR|{[STR [STR ...]]}                │
+│     Target modules for the optimizer defined in the `optim` argument. Only │
+│     used for the GaLore optimizer at the moment. (default: None)           │
+│ --trainer.batch-eval-metrics, --trainer.no-batch-eval-metrics              │
+│     Break eval metrics calculation into batches to save memory. (default:  │
+│     False)                                                                 │
+│ --trainer.eval-on-start, --trainer.no-eval-on-start                        │
+│     Whether to run through the entire `evaluation` step at the very        │
+│     beginning of training as a sanity check. (default: False)              │
+│ --trainer.use-liger-kernel {None,True,False}                               │
+│     Whether or not to enable the Liger Kernel for model training.          │
+│     (default: False)                                                       │
+│ --trainer.eval-use-gather-object {None,True,False}                         │
+│     Whether to run recursively gather object in a nested                   │
+│     list/tuple/dictionary of objects from all devices. (default: False)    │
+│ --trainer.average-tokens-across-devices {None,True,False}                  │
+│     Whether or not to average tokens across devices. If enabled, will use  │
+│     all_reduce to synchronize num_tokens_in_batch for precise loss         │
+│     calculation. Reference:                                                │
+│     https://github.com/huggingface/transformers/issues/34242 (default:     │
+│     False)                                                                 │
+╰────────────────────────────────────────────────────────────────────────────╯
diff --git a/docs/source/artifacts/tyro_cli_help.txt b/docs/source/artifacts/tyro_cli_help.txt
new file mode 100644
index 00000000..12f10d69
--- /dev/null
+++ b/docs/source/artifacts/tyro_cli_help.txt
@@ -0,0 +1,34 @@
+usage: -c [-h] [OPTIONS]
+
+For configuring the function launch environment.
+
+╭─ options ──────────────────────────────────────────────────────────────────╮
+│ -h, --help                                                                 │
+│     show this help message and exit                                        │
+│ --hostnames {[STR [STR ...]]}|{auto,slurm}                                 │
+│     Nodes to launch the function on. By default, infer from SLURM, else    │
+│     ``["localhost"]``. (default: auto)                                     │
+│ --workers-per-host INT|{[INT [INT ...]]}|{cpu,gpu}                         │
+│     Number of processes to run per node. By default, number of GPUs per    │
+│     host. (default: gpu)                                                   │
+│ --ssh-config-file {None}|STR|PATHLIKE                                      │
+│     For connecting to nodes. By default, ``"~/.ssh/config"`` or            │
+│     ``"/etc/ssh/ssh_config"``. (default: None)                             │
+│ --backend {None,nccl,gloo,mpi,ucc}                                         │
+│     `Backend                                                               │
+│     <https://pytorch.org/docs/stable/distributed.html#torch.distributed.B… │
+│             for worker process group. By default, NCCL (GPU backend).      │
+│             Use GLOO for CPU backend. ``None`` for no process group.       │
+│     (default: nccl)                                                        │
+│ --timeout INT                                                              │
+│     Worker process group timeout (seconds). (default: 600)                 │
+│ --copy-env-vars [STR [STR ...]]                                            │
+│     Environment variables to copy from the launcher process to workers.    │
+│     Supports Unix pattern matching syntax. (default: PATH LD_LIBRARY       │
+│     LIBRARY_PATH 'PYTHON*' 'CUDA*' 'TORCH*' 'PYTORCH*' 'NCCL*')            │
+│ --extra-env-vars {None}|{[STR STR [STR STR ...]]}                          │
+│     Additional environment variables to load onto workers. (default: None) │
+│ --env-file {None}|STR|PATHLIKE                                             │
+│     Path to a ``.env`` file, containing environment variables to load onto │
+│     workers. (default: None)                                               │
+╰────────────────────────────────────────────────────────────────────────────╯
diff --git a/docs/source/conf.py b/docs/source/conf.py
deleted file mode 100644
index 8e64563c..00000000
--- a/docs/source/conf.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import os
-import sys
-
-sys.path.insert(0, os.path.abspath("../../src"))
-
-# Configuration file for the Sphinx documentation builder.
-
-project = "torchrunx"
-github_username = "apoorvkh"
-github_repository = "torchrunx"
-html_theme = "furo"
-
-extensions = [
-    "sphinx.ext.duration",
-    "sphinx.ext.autodoc",
-    "sphinx.ext.intersphinx",
-    "myst_parser",
-    "sphinx_toolbox.sidebar_links",
-    "sphinx_toolbox.github",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.autodoc.typehints",
-    "sphinx.ext.linkcode",
-]
-
-autodoc_mock_imports = ["torch", "fabric", "cloudpickle", "sys", "logging", "typing_extensions"]
-autodoc_typehints = "both"
-autodoc_typehints_description_target = "documented_params"
-
-maximum_signature_line_length = 100
-
-intersphinx_mapping = {
-    "python": ("https://docs.python.org/3/", None),
-}
-intersphinx_disabled_domains = ["std"]
-
-
-## Link code to Github source
-# From: https://github.com/scikit-learn/scikit-learn/blob/main/doc/sphinxext/github_link.py
-
-import inspect
-import os
-import subprocess
-import sys
-from operator import attrgetter
-
-package = project
-
-try:
-    revision = (
-        subprocess.check_output("git rev-parse --short HEAD".split()).strip().decode("utf-8")
-    )
-except (subprocess.CalledProcessError, OSError):
-    print("Failed to execute git to get revision")
-    revision = None
-
-url_fmt = (
-    f"https://github.com/{github_username}/{github_repository}/"
-    "blob/{revision}/src/{package}/{path}#L{lineno}"
-)
-
-def linkcode_resolve(domain, info):
-    if revision is None:
-        return
-    if domain not in ("py", "pyx"):
-        return
-    if not info.get("module") or not info.get("fullname"):
-        return
-
-    class_name = info["fullname"].split(".")[0]
-    module = __import__(info["module"], fromlist=[class_name])
-    obj = attrgetter(info["fullname"])(module)
-
-    # Unwrap the object to get the correct source
-    # file in case that is wrapped by a decorator
-    obj = inspect.unwrap(obj)
-
-    try:
-        fn = inspect.getsourcefile(obj)
-    except Exception:
-        fn = None
-    if not fn:
-        try:
-            fn = inspect.getsourcefile(sys.modules[obj.__module__])
-        except Exception:
-            fn = None
-    if not fn:
-        return
-
-    fn = os.path.relpath(fn, start=os.path.dirname(__import__(package).__file__))
-    try:
-        lineno = inspect.getsourcelines(obj)[1]
-    except Exception:
-        lineno = ""
-    return url_fmt.format(revision=revision, package=package, path=fn, lineno=lineno)
-
-## End of "link code to Github source"
diff --git a/docs/source/contributing.rst b/docs/source/contributing.rst
deleted file mode 100644
index 7a661a30..00000000
--- a/docs/source/contributing.rst
+++ /dev/null
@@ -1,2 +0,0 @@
-.. include:: ../../CONTRIBUTING.md
-   :parser: myst_parser.sphinx_
diff --git a/docs/source/examples/accelerate.md b/docs/source/examples/accelerate.md
new file mode 100644
index 00000000..cb5e371a
--- /dev/null
+++ b/docs/source/examples/accelerate.md
@@ -0,0 +1,33 @@
+# Accelerate
+
+Here's an example script that uses `torchrunx` with [Accelerate](https://huggingface.co/docs/accelerate/en/index) to fine-tune any causal language model (from `transformers`) on any text dataset (from `datasets`) with any number of GPUs or nodes.
+
+[https://torchrun.xyz/accelerate_train.py](https://raw.githubusercontent.com/apoorvkh/torchrunx/refs/heads/main/docs/source/examples/scripts/accelerate_train.py)
+
+<details>
+  <summary><p style="display: inline-block;"><code class="docutils literal notranslate"><span class="pre">python accelerate_train.py --help</span></code></p> (expand)</summary>
+
+  ```{eval-rst}
+  .. literalinclude:: ../artifacts/accelerate_help.txt
+  ```
+</details>
+
+## Training GPT-2 on WikiText in One Line
+
+The following command installs dependencies and runs our script (for example, with `GPT-2` on `WikiText`). For multi-node training (+ if not using SLURM), you should also pass e.g. `--launcher.hostnames node1 node2`.
+
+Pre-requisite: [uv](https://docs.astral.sh/uv)
+
+```bash
+uv run --python "3.12" https://torchrun.xyz/accelerate_train.py \
+   --batch-size 8 --output-dir output \
+   --model.name gpt2 \
+   --dataset.path "Salesforce/wikitext" --dataset.name "wikitext-2-v1" --dataset.split "train" --dataset.num-samples 80
+```
+
+## Script
+
+```{eval-rst}
+.. literalinclude:: ./scripts/accelerate_train.py
+   :start-after: # [docs:start-after]
+```
diff --git a/docs/source/examples/deepspeed.md b/docs/source/examples/deepspeed.md
new file mode 100644
index 00000000..e4cea9b4
--- /dev/null
+++ b/docs/source/examples/deepspeed.md
@@ -0,0 +1,79 @@
+# DeepSpeed
+
+Here's an example script that uses `torchrunx` with [DeepSpeed](https://www.deepspeed.ai) to fine-tune any causal language model (from `transformers`) on any text dataset (from `datasets`) with any number of GPUs or nodes.
+
+[https://torchrun.xyz/deepspeed_train.py](https://raw.githubusercontent.com/apoorvkh/torchrunx/refs/heads/main/docs/source/examples/scripts/deepspeed_train.py)
+
+<details>
+  <summary><p style="display: inline-block;"><code class="docutils literal notranslate"><span class="pre">python deepspeed_train.py --help</span></code></p> (expand)</summary>
+
+  ```{eval-rst}
+  .. literalinclude:: ../artifacts/deepspeed_help.txt
+  ```
+</details>
+
+## Training GPT-2 on WikiText
+
+Deepspeed requires additional (non-Python) dependencies. Use the following commands to set up a project. [source: [Apoorv's Blog — Managing Project Dependencies](https://blog.apoorvkh.com/posts/project-dependencies.html)]
+
+Pre-requisite: [pixi](https://pixi.sh)
+
+```bash
+pixi init my-project --format pyproject
+cd my-project
+
+# Install dependencies
+pixi project channel add "conda-forge" "nvidia/label/cuda-12.4.0"
+pixi add "python=3.12.7" "cuda=12.4.0" "gcc=11.4.0" "gxx=11.4.0"
+pixi add --pypi "torch==2.5.1" "deepspeed" "datasets" "tensorboard" "torch" "torchrunx" "transformers" "tyro"
+
+cat <<EOF > .env
+export PYTHONNOUSERSITE="1"
+export LIBRARY_PATH="\$CONDA_PREFIX/lib"
+export LD_LIBRARY_PATH="\$CONDA_PREFIX/lib"
+export CUDA_HOME="\$CONDA_PREFIX"
+EOF
+
+# Activate environment
+pixi shell
+source .env
+```
+
+Download [deepspeed_train.py](https://raw.githubusercontent.com/apoorvkh/torchrunx/refs/heads/main/docs/source/examples/scripts/deepspeed_train.py) and create `deepspeed_config.json` with:
+
+```json
+{
+    "train_batch_size": 8,
+    "gradient_accumulation_steps": 1,
+    "optimizer": {
+        "type": "Adam",
+        "params": { "lr": 0.00015 }
+    },
+    "fp16": { "enabled": true },
+    "zero_optimization": true,
+    "tensorboard": {
+        "enabled": true,
+        "output_path": "output/tensorboard/",
+        "job_name": "gpt2_wikitext"
+    }
+}
+```
+
+```bash
+python deepspeed_train.py --model-name gpt2 --deepspeed-config deepspeed_config.json --checkpoint-dir output \
+       --dataset.path "Salesforce/wikitext" --dataset.name "wikitext-2-v1" --dataset.split "train" --dataset.num-samples 80
+```
+
+For multi-node training (+ if not using SLURM), you should also pass e.g. `--launcher.hostnames node1 node2`.
+
+You can visualize the logs with:
+
+```bash
+tensorboard --logdir output/tensorboard/gpt2_wikitext
+```
+
+## Script
+
+```{eval-rst}
+.. literalinclude:: ./scripts/deepspeed_train.py
+```
diff --git a/docs/source/examples/lightning.md b/docs/source/examples/lightning.md
new file mode 100644
index 00000000..7814de2f
--- /dev/null
+++ b/docs/source/examples/lightning.md
@@ -0,0 +1,34 @@
+# PyTorch Lightning
+
+Here's an example script that uses `torchrunx` with [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/) to fine-tune any causal language model (from `transformers`) on any text dataset (from `datasets`) with any number of GPUs or nodes.
+
+[https://torchrun.xyz/lightning_train.py](https://raw.githubusercontent.com/apoorvkh/torchrunx/refs/heads/main/docs/source/examples/scripts/lightning_train.py)
+
+<details>
+  <summary><p style="display: inline-block;"><code class="docutils literal notranslate"><span class="pre">python lightning_train.py --help</span></code></p> (expand)</summary>
+
+  ```{eval-rst}
+  .. literalinclude:: ../artifacts/lightning_help.txt
+  ```
+</details>
+
+## Training GPT-2 on WikiText in One Line
+
+The following command runs our script end-to-end: installing all dependencies, downloading model and data, training, etc.
+
+Pre-requisite: [uv](https://docs.astral.sh/uv)
+
+```bash
+uv run --python "3.12" https://torchrun.xyz/lightning_train.py \
+   --model.name gpt2 \
+   --dataset.path "Salesforce/wikitext" --dataset.name "wikitext-2-v1" --dataset.split "train" --dataset.num-samples 80
+```
+
+For multi-node training (+ if not using SLURM), you should also pass e.g. `--launcher.hostnames node1 node2`.
+
+## Script
+
+```{eval-rst}
+.. literalinclude:: ./scripts/lightning_train.py
+   :start-after: # [docs:start-after]
+```
diff --git a/docs/source/examples/transformers.md b/docs/source/examples/transformers.md
new file mode 100644
index 00000000..097483d2
--- /dev/null
+++ b/docs/source/examples/transformers.md
@@ -0,0 +1,39 @@
+# Transformers
+
+Here's an example script that uses `torchrunx` with [`transformers.Trainer`](https://huggingface.co/docs/transformers/en/main_classes/trainer) to fine-tune any causal language model (from `transformers`) on any text dataset (from `datasets`) with any number of GPUs or nodes.
+
+[https://torchrun.xyz/transformers_train.py](https://raw.githubusercontent.com/apoorvkh/torchrunx/refs/heads/main/docs/source/examples/scripts/transformers_train.py)
+
+<details>
+  <summary><p style="display: inline-block;"><code class="docutils literal notranslate"><span class="pre">python transformers_train.py --help</span></code></p> (expand)</summary>
+
+  ```{eval-rst}
+  .. literalinclude:: ../artifacts/transformers_help.txt
+  ```
+</details>
+
+## Training GPT-2 on WikiText in One Line
+
+The following command runs our script end-to-end: installing all dependencies, downloading model and data, training, logging to TensorBoard, etc. For multi-node training (+ if not using SLURM), you should also pass e.g. `--launcher.hostnames node1 node2`.
+
+Pre-requisite: [uv](https://docs.astral.sh/uv)
+
+```bash
+uv run --python "3.12" https://torchrun.xyz/transformers_train.py \
+   --model.name gpt2 \
+   --dataset.path "Salesforce/wikitext" --dataset.name "wikitext-2-v1" --dataset.split "train" --dataset.num-samples 80 \
+   --trainer.output-dir output --trainer.per-device-train-batch-size 4 --trainer.report-to tensorboard
+```
+
+You can visualize the logs with:
+
+```bash
+uv run --with tensorboard tensorboard --logdir output/runs
+```
+
+## Script
+
+```{eval-rst}
+.. literalinclude:: ./scripts/transformers_train.py
+   :start-after: # [docs:start-after]
+```
diff --git a/docs/source/how_it_works.md b/docs/source/how_it_works.md
new file mode 100644
index 00000000..8e41eb39
--- /dev/null
+++ b/docs/source/how_it_works.md
@@ -0,0 +1,21 @@
+# How It Works
+
+Suppose you want to run a script (`train.py`) on `N` machines (or "nodes") with `M` GPUs each.
+
+You'll need to start a new process for each GPU. Each process will execute your script in parallel and select its GPU based on the process rank. Your script will also form a [distributed group](https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group) so the processes may communicate with each other (e.g. passing tensors).
+
+## `torchrun`
+
+Normally, you'd do this by running the `torchrun --node-rank {i} ... train.py ...` command on every machine. In short, you'll end up with a topology like:
+
+![torchrun diagram](./artifacts/torchrun.png)
+
+As a side effect of this structure, every process will run until (1) script completion or (2) another process stops communicating (e.g. if killed by the system for abnormal reasons). The status of other processes is not actively communicated: so if some process is indeed killed, it would take 10 minutes (by default) for the remaining processes to time-out. Also, since this approach parallelizes the entire script, we can't catch and handle these system-level issues as exceptions.
+
+## `torchrunx` 🔥
+
+`torchrunx` offers a functional interface, with a launcher–worker topology, instead.
+
+![torchrunx diagram](./artifacts/torchrunx.png)
+
+{func}`torchrunx.Launcher.run` runs in the current, *launcher* process. It uses SSH to start an *agent* process on every node (specified in `hostnames`), which in turn spawn `M` *worker* processes. The workers form a distributed process group and each executes `func(*args, **kwargs)` in parallel. Once all workers are finished, all of their returned values are propagated to the initial launcher process. Our agents constantly communicate (over their own GLOO-backend distributed group), so any agent or worker failures are immediately propagated, and all launched processes are terminated. Worker exceptions and system failures are propagated to and raised by {func}`torchrunx.Launcher.run`.
diff --git a/docs/source/how_it_works.rst b/docs/source/how_it_works.rst
deleted file mode 100644
index 9550e8d1..00000000
--- a/docs/source/how_it_works.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-How it works
-============
-
-If you want to (e.g.) train your model on several machines with **N** GPUs each, you should run your training function in **N** parallel processes on each machine. During training, each of these processes runs the same training code (i.e. your function) and communicate with each other (e.g. to synchronize gradients) using a `distributed process group <https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group>`_.
-
-Your script can call our library (via `mod:torchrunx.launch`) and specify a function to distribute. The main process running your script is henceforth known as the **launcher** process.
-
-Our launcher process spawns an **agent** process (via SSH) on each machine. Each agent then spawns **N** processes (known as **workers**) on its machine. All workers form a process group (with the specified `mod:torchrunx.launch` ``backend``) and run your function in parallel.
-
-**Agent–Worker Communication.** Our agents poll their workers every second and time-out if unresponsive for 5 seconds. Upon polling, our agents receive ``None`` (if the worker is still running) or a `RunProcsResult <https://pytorch.org/docs/stable/elastic/multiprocessing.html#torch.distributed.elastic.multiprocessing.api.RunProcsResult>`_, indicating that the workers have either completed (providing an object returned from or the exception raised by our function) or failed (e.g. due to segmentation fault or OS signal).
-
-**Launcher–Agent Communication.** The launcher and agents form a distributed group (with the CPU-based `GLOO backend <https://pytorch.org/docs/stable/distributed.html#backends>`_) for the communication purposes of our library. Our agents synchronize their own "statuses" with each other and the launcher. An agent's status can include whether it is running/failed/completed and the result of the function. If the launcher or any agent fails to synchronize, all raise a `mod:torchrunx.AgentFailedError` and terminate. If any worker fails or raises an exception, the launcher raises a `mod:torchrunx.WorkerFailedError` or that exception and terminates along with all the agents. If all agents succeed, the launcher returns the objects returned by each worker.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 55900595..69c2d089 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -1,15 +1,31 @@
-.. include:: ../../README.md
+.. include:: ./README.md
    :parser: myst_parser.sphinx_
 
 .. toctree::
    :hidden:
-   :maxdepth: 1
 
    api
-   advanced
    how_it_works
    contributing
 
+.. toctree::
+   :caption: Usage
+   :hidden:
+
+   ./usage/general.md
+   ./usage/cli.md
+   ./usage/logging.md
+   ./usage/slurm.md
+
+.. toctree::
+   :caption: Examples
+   :hidden:
+
+   ./examples/transformers.md
+   ./examples/deepspeed.md
+   ./examples/lightning.md
+   ./examples/accelerate.md
+
 .. sidebar-links::
-   :github: 
+   :github:
    :pypi: torchrunx
diff --git a/docs/source/usage/cli.md b/docs/source/usage/cli.md
new file mode 100644
index 00000000..6ac7d6ba
--- /dev/null
+++ b/docs/source/usage/cli.md
@@ -0,0 +1,44 @@
+# From the CLI
+
+## With `argparse`
+
+We provide some utilities to extend an {obj}`argparse.ArgumentParser` with arguments for building a {obj}`torchrunx.Launcher`.
+
+```python
+from argparse import ArgumentParser
+from torchrunx.integrations.parsing import add_torchrunx_argument_group, launcher_from_args
+
+if __name__ == '__main__':
+    parser = ArgumentParser()
+    add_torchrunx_argument_group(parser)
+    args = parser.parse_args()
+
+    launcher = launcher_from_args(args)
+    launcher.run(...)
+```
+
+`python ... --help` then results in:
+
+```{eval-rst}
+.. literalinclude:: ../artifacts/argparse_cli_help.txt
+```
+
+## With automatic CLI tools
+
+We can also automatically populate {mod}`torchrunx.Launcher` arguments using most CLI tools, e.g. [`tyro`](https://brentyi.github.io/tyro/) or any that [generate interfaces from dataclasses](https://brentyi.github.io/tyro/goals_and_alternatives).
+
+```python
+import torchrunx
+import tyro
+
+if __name__ == "__main__":
+    launcher = tyro.cli(torchrunx.Launcher)
+    results = launcher.run(...)
+```
+
+`python ... --help` then results in:
+
+```{eval-rst}
+.. literalinclude:: ../artifacts/tyro_cli_help.txt
+  :lines: 3-
+```
diff --git a/docs/source/usage/general.md b/docs/source/usage/general.md
new file mode 100644
index 00000000..fbe992be
--- /dev/null
+++ b/docs/source/usage/general.md
@@ -0,0 +1,67 @@
+# General
+
+## Multiple functions in one script
+
+Consider multiple stages of training: pre-training, supervised fine-tuning, RLHF, etc.
+
+Normally, this kind of work is delegated to multiple scripts. Why? Each stage is complicated (prone to memory leaks) and we don't want them to interfere with each other. They may even require different degrees of parallelism.
+
+`torchrunx` solves these problems — even within a single script — by modularizing workloads into isolated, self-cleaning processes.
+
+```python
+# 2 nodes x 8 GPUs
+train_launcher = torchrunx.Launcher(hostnames=["node1", "node2"], workers_per_host=8)
+# 1 GPU
+eval_launcher = torchrunx.Launcher(hostnames=["node1"], workers_per_host=1)
+
+# Training & testing
+
+pretrained_model = train_launcher.run(train).rank(0)
+pretrained_acc = eval_launcher.run(evaluation, model=pretrained_model).rank(0)
+print(f"Pre-trained model accuracy: {pretrained_acc}")
+
+finetuned_model = train_launcher.run(finetuning, model=pretrained_model).rank(0)
+finetuned_acc = eval_launcher.run(evaluation, model=finetuned_model).rank(0)
+print(f"Fine-tuned model accuracy: {finetuned_acc}")
+```
+
+## Exceptions
+
+Exceptions that are raised in workers will be raised by the launcher process. A {mod}`torchrunx.AgentFailedError` or {mod}`torchrunx.WorkerFailedError` will be raised if any agent or worker dies unexpectedly (e.g. if sent a signal from the OS, due to segmentation faults or OOM).
+
+You can catch these errors and handle them as you wish!
+
+```python
+for config in configs:  # e.g. hyper-parameter sweep
+    try:
+        torchrunx.Launcher().run(train, config)
+    except torch.cuda.OutOfMemoryError:
+        print(f"{config} results in OOM... continuing...")
+```
+
+If you are expecting intermittent failures, you can catch errors and invoke retries:
+
+```python
+for retry in range(3):
+    try:
+        torchrunx.Launcher().run(train, resume_from_checkpoint=True)
+    except torchrunx.WorkerFailedError as e:
+        print(f"Error occurred: {e}")
+        print(f"Retrying ({retry}) ...")
+    else:  # if run() is successful
+        break
+```
+
+## Environment variables
+
+Environment variables in the launcher process that pattern match the [``copy_env_vars``](../api.md#torchrunx.Launcher.copy_env_vars) argument are automatically copied to agents and workers. We set useful defaults for Python and PyTorch. You could replace these. Or extend these like:
+
+```python
+torchrunx.Launcher(copy_env_vars=(
+    torchrunx.DEFAULT_ENV_VARS_FOR_COPY + ("HF_HOME", "WANDB_*",)
+))
+```
+
+You can also pass (1) specific environment variables and values via [``extra_env_vars``](../api.md#torchrunx.Launcher.extra_env_vars) or (2) a ``.env``-style file via [``env_file``](../api.md#torchrunx.Launcher.env_file). Our agents `source {env_file}`.
+
+Finally, we set the following environment variables in each worker: `LOCAL_RANK`, `RANK`, `LOCAL_WORLD_SIZE`, `WORLD_SIZE`, `MASTER_ADDR`, and `MASTER_PORT`.
diff --git a/docs/source/usage/logging.md b/docs/source/usage/logging.md
new file mode 100644
index 00000000..0e764938
--- /dev/null
+++ b/docs/source/usage/logging.md
@@ -0,0 +1,62 @@
+# Custom Logging
+
+We forward all agent and worker logs (i.e. from {mod}`logging`, {obj}`sys.stdout`, and {obj}`sys.stderr`) to the launcher process.
+
+## Defaults
+
+By default, the logs from the rank 0 agent and rank 0 worker are handled by loggers on the launcher process (and so they should be printed to `stdout`/`stderr`). You may control these logs like:
+
+```python
+logging.basicConfig(level=logging.INFO)
+logging.getLogger("torchrunx").setLevel(logging.DEBUG)
+logging.getLogger("torchrunx.node1").setLevel(logging.INFO)
+logging.getLogger("torchrunx.node1.1").setLevel(logging.INFO)  # worker 1 (local rank) on node 1
+```
+
+Also, logs from all agents and workers are written to a directory (by the current timestamp) in `$TORCHRUNX_LOG_DIR` (default: `./torchrunx_logs`). These can be controlled using `$TORCHRUNX_LOG_LEVEL` (default: `INFO`).
+
+## Customization
+
+You can fully customize how logs are processed using {func}`torchrunx.Launcher.set_logging_handlers`. You should provide it a factory function that constructs and returns a list of {obj}`logging.Handler` objects. Each {obj}`logging.Handler` controls where logs should be written. You can also add a filter to restrict the handler to the logs of a specific agent or worker.
+
+Here's an example:
+
+```python
+from torchrunx.utils.log_handling import RedirectHandler, get_handler_filter
+
+def custom_handlers() -> list[logging.Handler]:
+
+    # Handler: redirect logs from (host 0, agent) to logger on launcher process
+    redirect_handler = RedirectHandler()
+    redirect_handler.addFilter(get_handler_filter(
+        hostname=hostnames[0], local_rank=None, log_level=logging.DEBUG
+    ))
+
+    # Handler: output logs from (host 0, worker 0) to "output.txt"
+    file_handler = logging.FileHandler("output.txt")
+    file_handler.addFilter(get_handler_filter(
+        hostname=hostnames[0], local_rank=0, log_level=logging.DEBUG
+    ))
+
+    return [
+        redirect_handler,
+        file_handler,
+    ]
+```
+
+```python
+torchrunx.Launcher(...).set_logging_handlers(custom_handlers).run(...)
+```
+
+Finally, you can control library-specific logging (within the worker processes) by modifying the distributed function:
+
+```python
+def distributed_function():
+    logging.getLogger("transformers").setLevel(logging.DEBUG)
+
+    logger = logging.getLogger("my_app")
+    logger.info("Hello world!")
+    ...
+
+torchrunx.Launcher(...).run(distributed_function)
+```
diff --git a/docs/source/usage/slurm.md b/docs/source/usage/slurm.md
new file mode 100644
index 00000000..e34a1a1c
--- /dev/null
+++ b/docs/source/usage/slurm.md
@@ -0,0 +1,59 @@
+# Using SLURM
+
+Normally, you are expected to provide the `hostnames` argument in {obj}`torchrunx.Launcher` to specify which nodes you would like to launch your function onto.
+
+If your script is running within a SLURM allocation and you set `hostnames` to `"auto"` (default) or `"slurm"`, we will automatically detect the available nodes and distribute your function onto all of these. A {exc}`RuntimeError` will be raised if `hostnames="slurm"` but no SLURM allocation is detected.
+
+## With `sbatch`
+
+You could have a script (`train.py`) that includes:
+
+```python
+def distributed_training():
+    ...
+
+if __name__ == "__main__":
+    torchrunx.Launcher(
+        hostnames = "slurm",
+        workers_per_host = "gpu"
+    ).run(distributed_training)
+```
+
+And some `run.batch` file (e.g. allocating 2 nodes with 2 GPUs each):
+
+```bash
+#!/bin/bash
+#SBATCH --job-name=torchrunx
+#SBATCH --time=1:00:00
+#SBATCH --ntasks-per-node=1
+#SBATCH --nodes=2
+#SBATCH --gpus-per-node=2
+
+# TODO: load your virutal environment
+python train.py
+```
+
+`sbatch run.batch` should then run `python train.py` (the launcher process) on the primary machine in your SLURM allocation. The launcher will automatically distribute the training function onto both allocated nodes (and also parallelize it across the allocated GPUs).
+
+## With `submitit`
+
+If we use the [`submitit`](https://github.com/facebookincubator/submitit) Python library, we can do all of this from a single python script.
+
+```python
+def distributed_training():
+    ...
+
+def launch_training():
+    torchrunx.Launcher(
+        hostnames = "slurm",
+        workers_per_host = "gpu"
+    ).run(distributed_training)
+
+if __name__ == "__main__":
+    executor = submitit.SlurmExecutor(folder="slurm_outputs")
+    executor.update_parameters(
+        use_srun=False, time=60, ntasks_per_node=1,
+        nodes=2, gpus_per_node=2
+    )
+    executor.submit(launch_training)
+```
diff --git a/pyproject.toml b/pyproject.toml
index d90f2fb4..dfffaf32 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,39 +4,34 @@ build-backend = "hatchling.build"
 
 [project]
 name = "torchrunx"
-version = "0.2.4"
+version = "0.3.0"
 authors = [
   { name = "Apoorv Khandelwal", email = "mail@apoorvkh.com" },
   { name = "Peter Curtin", email = "peter_curtin@brown.edu" },
 ]
 description = "Automatically initialize distributed PyTorch environments"
 readme = "README.md"
-urls = { Repository = "https://github.com/apoorvkh/torchrunx.git", Documentation = "https://torchrunx.readthedocs.io" }
-classifiers = [
-  "License :: OSI Approved :: MIT License",
-  "Programming Language :: Python",
-  "Programming Language :: Python :: 3.9",
-  "Programming Language :: Python :: 3.10",
-  "Programming Language :: Python :: 3.11",
-  "Programming Language :: Python :: 3.12",
-]
+license = { file = "LICENSE" }
+urls = { Repository = "https://github.com/apoorvkh/torchrunx.git", Documentation = "https://torchrun.xyz" }
 requires-python = ">=3.9"
 dependencies = [
   "cloudpickle>=3.0",
   "fabric>=3.2",
   "torch>=2.0",
   # torch.distributed depends on numpy
+  # torch<=2.2 needs numpy<2
   "numpy>=1.20",
+  "typing-extensions>=4.9.0",
 ]
 [dependency-groups]
-dev = ["ruff", "pyright", "pytest", "build", "twine"]
-dev-extras = ["submitit", "transformers"]
-
-[tool.uv]
-managed = true
-python-preference = "only-managed"
-
-## Development tools
+dev = ["ruff==0.9.5", "pyright[nodejs]==1.1.393", "pytest==8.3.4"]
+test-extras = ["submitit", "transformers"]
+docs = [
+  "sphinx==7.4.7",
+  "furo==2024.8.6",
+  "myst-parser==3.0.1",
+  "sphinx-toolbox==3.8.2",
+]
 
 [tool.ruff]
 include = ["pyproject.toml", "src/**/*.py", "tests/**/*.py"]
@@ -46,8 +41,8 @@ src = ["src", "tests"]
 [tool.ruff.lint]
 select = ["ALL"]
 ignore = [
-  "ANN101",
-  "ANN102",
+  "TC003",   # no type checking blocks for stdlib
+  "D104",    # package docstrings
   "ANN401",  # self / cls / Any annotations
   "BLE001",  # blind exceptions
   "TD",      # todo syntax
@@ -59,6 +54,7 @@ ignore = [
   "S607",    # bandit: subprocess
   "COM812",
   "ISC001",  # conflict with formatter
+  "G004"  # f-string in logging
 ]
 [tool.ruff.lint.per-file-ignores]
 "tests/**/*.py" = [
diff --git a/scripts/build_docs.sh b/scripts/build_docs.sh
new file mode 100644
index 00000000..cae5bc92
--- /dev/null
+++ b/scripts/build_docs.sh
@@ -0,0 +1 @@
+uv run --group docs python -m sphinx --builder html --doctree-dir docs/_build/.doctrees --conf-dir docs --show-traceback docs/source docs/_build/html
diff --git a/scripts/examples/accelerate_train.py b/scripts/examples/accelerate_train.py
new file mode 100644
index 00000000..a085168c
--- /dev/null
+++ b/scripts/examples/accelerate_train.py
@@ -0,0 +1,128 @@
+# /// script
+# requires-python = ">=3.9"
+# dependencies = [
+#     "accelerate",
+#     "datasets",
+#     "torch",
+#     "transformers",
+#     "tyro",
+# ]
+# ///
+
+# [docs:start-after]
+from __future__ import annotations
+
+import functools
+import os
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Annotated
+
+import torch
+import tyro
+from accelerate import Accelerator
+from datasets import load_dataset
+from torch.utils.data import Dataset
+from transformers import AutoModelForCausalLM, AutoTokenizer, PreTrainedModel
+
+import torchrunx
+
+
+@dataclass
+class ModelConfig:
+    name: str
+
+
+@dataclass
+class DatasetConfig:
+    path: str
+    name: str | None = None
+    split: str | None = None
+    text_column: str = "text"
+    num_samples: int | None = None
+
+
+def load_training_data(
+    tokenizer_name: str,
+    dataset_config: DatasetConfig,
+) -> Dataset:
+    # Load dataset
+
+    dataset = load_dataset(
+        dataset_config.path, name=dataset_config.name, split=dataset_config.split
+    )
+    if dataset_config.num_samples is not None:
+        dataset = dataset.select(range(dataset_config.num_samples))
+
+    # Build tokenizer
+
+    os.environ["TOKENIZERS_PARALLELISM"] = "false"  # to suppress warnings
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
+    if tokenizer.pad_token is None:
+        tokenizer.pad_token = tokenizer.eos_token
+    tokenize_fn = functools.partial(
+        tokenizer,
+        max_length=tokenizer.model_max_length,
+        truncation=True,
+        padding="max_length",
+    )
+
+    # Tokenize dataset
+
+    return dataset.map(
+        tokenize_fn,
+        batched=True,
+        input_columns=[dataset_config.text_column],
+        remove_columns=[dataset_config.text_column],
+    ).map(lambda x: {"labels": x["input_ids"]})
+
+
+def train(
+    model: PreTrainedModel,
+    train_dataset: Dataset,
+    batch_size: int,
+    output_dir: Path,
+) -> Path:
+    accelerator = Accelerator()
+
+    optimizer = torch.optim.Adam(model.parameters())
+    train_dataloader = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size)
+
+    model, optimizer, train_dataloader = accelerator.prepare(model, optimizer, train_dataloader)
+
+    model.train()
+    for batch_idx, batch in enumerate(train_dataloader):
+        device_batch = {k: torch.stack(v, dim=0).to(accelerator.device) for k, v in batch.items()}
+        optimizer.zero_grad()
+
+        loss = model(**device_batch).loss
+        print(f"Step {batch_idx}, loss: {loss.item()}", flush=True, end="")
+        accelerator.backward(loss)
+
+        optimizer.step()
+
+    accelerator.wait_for_everyone()
+    accelerator.save_state(output_dir=output_dir, safe_serialization=False)
+    return output_dir / "pytorch_model.bin"
+
+
+def main(
+    launcher: torchrunx.Launcher,
+    model_config: Annotated[ModelConfig, tyro.conf.arg(name="model")],
+    dataset_config: Annotated[DatasetConfig, tyro.conf.arg(name="dataset")],
+    batch_size: int,
+    output_dir: Path,
+):
+    model = AutoModelForCausalLM.from_pretrained(model_config.name)
+    train_dataset = load_training_data(tokenizer_name=model_config.name, dataset_config=dataset_config)
+
+    # Launch training
+    results = launcher.run(train, (model, train_dataset, batch_size, output_dir))
+
+    # Loading trained model from checkpoint
+    checkpoint_path = results.rank(0)
+    trained_model = AutoModelForCausalLM.from_pretrained(model_config.name, state_dict=torch.load(checkpoint_path))
+
+
+if __name__ == "__main__":
+    tyro.cli(main)
diff --git a/scripts/examples/deepspeed_train.py b/scripts/examples/deepspeed_train.py
new file mode 100644
index 00000000..273961f5
--- /dev/null
+++ b/scripts/examples/deepspeed_train.py
@@ -0,0 +1,123 @@
+# /// script
+# requires-python = ">=3.9"
+# dependencies = [
+#     "datasets",
+#     "deepspeed",
+#     "tensorboard",
+#     "torch",
+#     "torchrunx",
+#     "transformers",
+#     "tyro",
+# ]
+# ///
+
+# [docs:start-after]
+from __future__ import annotations
+
+import functools
+import os
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Annotated
+
+import deepspeed
+import torch
+import tyro
+from datasets import load_dataset
+from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
+from torch.utils.data import Dataset
+from transformers import AutoModelForCausalLM, AutoTokenizer, PreTrainedModel
+
+import torchrunx
+
+
+@dataclass
+class DatasetConfig:
+    path: str
+    name: str | None = None
+    split: str | None = None
+    text_column: str = "text"
+    num_samples: int | None = None
+
+
+def load_training_data(
+    tokenizer_name: str,
+    dataset_config: DatasetConfig,
+) -> Dataset:
+    # Load dataset
+
+    dataset = load_dataset(
+        dataset_config.path, name=dataset_config.name, split=dataset_config.split
+    )
+    if dataset_config.num_samples is not None:
+        dataset = dataset.select(range(dataset_config.num_samples))
+
+    # Build tokenizer
+
+    os.environ["TOKENIZERS_PARALLELISM"] = "false"  # to suppress warnings
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
+    if tokenizer.pad_token is None:
+        tokenizer.pad_token = tokenizer.eos_token
+    tokenize_fn = functools.partial(
+        tokenizer,
+        max_length=tokenizer.model_max_length,
+        truncation=True,
+        padding="max_length",
+    )
+
+    # Tokenize dataset
+
+    return dataset.map(
+        tokenize_fn,
+        batched=True,
+        input_columns=[dataset_config.text_column],
+        remove_columns=[dataset_config.text_column],
+    ).map(lambda x: {"labels": x["input_ids"]})
+
+
+def train(
+    model: PreTrainedModel,
+    train_dataset: Dataset,
+    deepspeed_config: str | dict,
+    checkpoint_dir: str,
+) -> None:
+    model_engine, _, data_loader, _ = deepspeed.initialize(
+        model=model,
+        model_parameters=model.parameters(),
+        training_data=train_dataset,
+        config=deepspeed_config,
+    )
+
+    model_engine.train()
+
+    for step, batch in enumerate(data_loader):
+        input_batch = {k: torch.stack(v).T.to(model_engine.device) for k, v in batch.items()}
+        loss = model_engine(**input_batch).loss
+        model_engine.backward(loss)
+        model_engine.step()
+        print(f"Step {step}, loss: {loss.item()}", flush=True, end="")
+
+    model_engine.save_checkpoint(checkpoint_dir)
+
+
+def main(
+    model_name: str,
+    deepspeed_config: Path,
+    checkpoint_dir: Path,
+    dataset_config: Annotated[DatasetConfig, tyro.conf.arg(name="dataset")],
+    launcher: torchrunx.Launcher,
+):
+    model = AutoModelForCausalLM.from_pretrained(model_name)
+    train_dataset = load_training_data(tokenizer_name=model_name, dataset_config=dataset_config)
+
+    # Launch training
+    launcher.run(train, (model, train_dataset, str(deepspeed_config), str(checkpoint_dir)))
+
+    # Loading trained model from checkpoint
+    state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir)
+    trained_model = AutoModelForCausalLM.from_pretrained(model_name)
+    trained_model.load_state_dict(state_dict)
+
+
+if __name__ == "__main__":
+    tyro.cli(main)
diff --git a/scripts/examples/lightning_train.py b/scripts/examples/lightning_train.py
new file mode 100644
index 00000000..1684eb63
--- /dev/null
+++ b/scripts/examples/lightning_train.py
@@ -0,0 +1,140 @@
+# /// script
+# requires-python = ">=3.9"
+# dependencies = [
+#    "datasets",
+#     "lightning",
+#     "torch",
+#     "torchrunx",
+#     "transformers",
+#     "tyro",
+# ]
+# ///
+
+# [docs:start-after]
+from __future__ import annotations
+
+import functools
+import os
+from dataclasses import dataclass
+from typing import Annotated
+
+import lightning as L
+import torch
+
+import tyro
+from datasets import load_dataset
+from torch.utils.data import Dataset
+from transformers import AutoModelForCausalLM, AutoTokenizer, PreTrainedModel
+
+import torchrunx
+from torchrunx.integrations.lightning import TorchrunxClusterEnvironment
+
+
+@dataclass
+class ModelConfig:
+    name: str
+
+
+@dataclass
+class DatasetConfig:
+    path: str
+    name: str | None = None
+    split: str | None = None
+    text_column: str = "text"
+    num_samples: int | None = None
+
+
+def load_training_data(
+    tokenizer_name: str,
+    dataset_config: DatasetConfig,
+) -> Dataset:
+    # Load dataset
+
+    dataset = load_dataset(
+        dataset_config.path, name=dataset_config.name, split=dataset_config.split
+    )
+    if dataset_config.num_samples is not None:
+        dataset = dataset.select(range(dataset_config.num_samples))
+
+    # Build tokenizer
+
+    os.environ["TOKENIZERS_PARALLELISM"] = "false"  # to suppress warnings
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
+    if tokenizer.pad_token is None:
+        tokenizer.pad_token = tokenizer.eos_token
+    tokenize_fn = functools.partial(
+        tokenizer,
+        max_length=tokenizer.model_max_length,
+        truncation=True,
+        padding="max_length",
+    )
+
+    # Tokenize dataset
+
+    return dataset.map(
+        tokenize_fn,
+        batched=True,
+        input_columns=[dataset_config.text_column],
+        remove_columns=[dataset_config.text_column],
+    ).map(lambda x: {"labels": x["input_ids"]})
+
+
+class CausalLMLightningWrapper(L.LightningModule):
+    def __init__(self, model):
+        super().__init__()
+        self.model = model
+
+    def training_step(self, batch, *args):  # pyright: ignore
+        device_batch = {k: torch.stack(v, dim=0).to(self.model.device) for k, v in batch.items()}
+        loss = self.model(**device_batch).loss
+        self.log("train_loss", loss)
+        return loss
+
+    def configure_optimizers(self):
+        optimizer = torch.optim.Adam(self.parameters(), lr=1e-5)
+        return optimizer
+
+
+def train(model: PreTrainedModel, train_dataset: Dataset) -> str:
+    lightning_model = CausalLMLightningWrapper(model)
+
+    train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=8)
+
+    trainer = L.Trainer(
+        accelerator="gpu",
+        max_epochs=1,
+        strategy="ddp",
+        plugins=[TorchrunxClusterEnvironment()],
+        enable_checkpointing=False,
+    )
+
+    trainer.fit(model=lightning_model, train_dataloaders=train_loader)
+    checkpoint = f"{trainer.log_dir}/final.ckpt"
+    trainer.save_checkpoint(checkpoint)
+
+    return checkpoint
+
+
+def main(
+    launcher: torchrunx.Launcher,
+    model_config: Annotated[ModelConfig, tyro.conf.arg(name="model")],
+    dataset_config: Annotated[DatasetConfig, tyro.conf.arg(name="dataset")],
+):
+    model = AutoModelForCausalLM.from_pretrained(model_config.name)
+    train_dataset = load_training_data(
+        tokenizer_name=model_config.name, dataset_config=dataset_config
+    )
+
+    # Launch training
+    results = launcher.run(train, (model, train_dataset))
+
+    # Loading trained model from checkpoint
+    checkpoint_path = results.rank(0)
+    dummy_model = AutoModelForCausalLM.from_pretrained(model_config.name)
+    trained_model = CausalLMLightningWrapper(dummy_model)
+    trained_model.load_state_dict(torch.load(checkpoint_path)["state_dict"])
+    trained_model = trained_model.model
+
+
+if __name__ == "__main__":
+    tyro.cli(main)
diff --git a/scripts/examples/transformers_train.py b/scripts/examples/transformers_train.py
new file mode 100644
index 00000000..f93eca65
--- /dev/null
+++ b/scripts/examples/transformers_train.py
@@ -0,0 +1,113 @@
+# /// script
+# requires-python = ">=3.9"
+# dependencies = [
+#     "datasets",
+#     "tensorboard",
+#     "torchrunx",
+#     "transformers[torch]",
+#     "tyro",
+# ]
+# ///
+
+# [docs:start-after]
+from __future__ import annotations
+
+import functools
+import os
+from dataclasses import dataclass
+from typing import Annotated
+
+import tyro
+from datasets import Dataset, load_dataset
+from transformers import (
+    AutoModelForCausalLM,
+    AutoTokenizer,
+    PreTrainedModel,
+    Trainer,
+    TrainingArguments,
+    trainer_utils,
+)
+
+import torchrunx
+
+
+@dataclass
+class ModelConfig:
+    name: str
+
+
+@dataclass
+class DatasetConfig:
+    path: str
+    name: str | None = None
+    split: str | None = None
+    text_column: str = "text"
+    num_samples: int | None = None
+
+
+def load_training_data(
+    tokenizer_name: str,
+    dataset_config: DatasetConfig,
+) -> Dataset:
+    # Load dataset
+
+    dataset = load_dataset(
+        dataset_config.path, name=dataset_config.name, split=dataset_config.split
+    )
+    if dataset_config.num_samples is not None:
+        dataset = dataset.select(range(dataset_config.num_samples))
+
+    # Build tokenizer
+
+    os.environ["TOKENIZERS_PARALLELISM"] = "false"  # to suppress warnings
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
+    if tokenizer.pad_token is None:
+        tokenizer.pad_token = tokenizer.eos_token
+    tokenize_fn = functools.partial(
+        tokenizer,
+        max_length=tokenizer.model_max_length,
+        truncation=True,
+        padding="max_length",
+    )
+
+    # Tokenize dataset
+
+    return dataset.map(
+        tokenize_fn,
+        batched=True,
+        input_columns=[dataset_config.text_column],
+        remove_columns=[dataset_config.text_column],
+    ).map(lambda x: {"labels": x["input_ids"]})
+
+
+def train(
+    model: PreTrainedModel,
+    train_dataset: Dataset,
+    training_args: TrainingArguments,
+) -> str:
+    trainer = Trainer(model=model, train_dataset=train_dataset, args=training_args)
+    trainer.train()
+    return trainer_utils.get_last_checkpoint(training_args.output_dir)
+
+
+def main(
+    launcher: torchrunx.Launcher,
+    model_config: Annotated[ModelConfig, tyro.conf.arg(name="model")],
+    dataset_config: Annotated[DatasetConfig, tyro.conf.arg(name="dataset")],
+    training_args: Annotated[TrainingArguments, tyro.conf.arg(name="trainer", help="")],
+):
+    model = AutoModelForCausalLM.from_pretrained(model_config.name)
+    train_dataset = load_training_data(
+        tokenizer_name=model_config.name, dataset_config=dataset_config
+    )
+
+    # Launch training
+    results = launcher.run(train, (model, train_dataset, training_args))
+
+    # Loading trained model from checkpoint
+    checkpoint_path = results.rank(0)
+    trained_model = AutoModelForCausalLM.from_pretrained(checkpoint_path)
+
+
+if __name__ == "__main__":
+    tyro.cli(main)
diff --git a/scripts/generate_help_menus.sh b/scripts/generate_help_menus.sh
new file mode 100644
index 00000000..5addc81e
--- /dev/null
+++ b/scripts/generate_help_menus.sh
@@ -0,0 +1,9 @@
+mkdir docs/source/artifacts
+
+uv run python -c "from argparse import ArgumentParser; from torchrunx.integrations.parsing import add_torchrunx_argument_group; parser = ArgumentParser(); add_torchrunx_argument_group(parser); parser.parse_args()" --help > docs/source/artifacts/argparse_cli_help.txt
+uv run --with tyro python -c "import torchrunx; import tyro; tyro.cli(torchrunx.Launcher)" --help > docs/source/artifacts/tyro_cli_help.txt
+
+uv run --with . scripts/examples/transformers_train.py --help > docs/source/artifacts/transformers_help.txt
+uv run --with . scripts/examples/deepspeed_train.py --help > docs/source/artifacts/deepspeed_help.txt
+uv run --with . scripts/examples/lightning_train.py --help > docs/source/artifacts/lightning_help.txt
+uv run --with . scripts/examples/accelerate_train.py --help > docs/source/artifacts/accelerate_help.txt
diff --git a/src/torchrunx/__init__.py b/src/torchrunx/__init__.py
index 405a7715..299f7626 100644
--- a/src/torchrunx/__init__.py
+++ b/src/torchrunx/__init__.py
@@ -1,16 +1,14 @@
-"""API for our torchrunx library."""
+import importlib.metadata
 
-from .launcher import Launcher, LaunchResult, launch
+from .launcher import DEFAULT_ENV_VARS_FOR_COPY, Launcher, LaunchResult
 from .utils.errors import AgentFailedError, WorkerFailedError
-from .utils.logging import add_filter_to_handler, file_handler, stream_handler
 
-__all__ = [
-    "AgentFailedError",
-    "WorkerFailedError",
+__version__ = importlib.metadata.version(__package__ or __name__)
+
+__all__ = [  # noqa: RUF022
+    "DEFAULT_ENV_VARS_FOR_COPY",
     "Launcher",
-    "launch",
     "LaunchResult",
-    "add_filter_to_handler",
-    "file_handler",
-    "stream_handler",
+    "AgentFailedError",
+    "WorkerFailedError",
 ]
diff --git a/src/torchrunx/__main__.py b/src/torchrunx/__main__.py
index 8626c1f8..f95d6328 100644
--- a/src/torchrunx/__main__.py
+++ b/src/torchrunx/__main__.py
@@ -3,7 +3,6 @@
 from argparse import ArgumentParser
 
 from .agent import main
-from .utils.comm import LauncherAgentGroup
 
 if __name__ == "__main__":
     parser = ArgumentParser()
@@ -12,17 +11,15 @@
     parser.add_argument("--logger-port", type=int)
     parser.add_argument("--world-size", type=int)
     parser.add_argument("--rank", type=int)
+    parser.add_argument("--hostname", type=str)
     args = parser.parse_args()
 
-    launcher_agent_group = LauncherAgentGroup(
+    main(
         launcher_hostname=args.launcher_hostname,
         launcher_port=args.launcher_port,
         world_size=args.world_size,
         rank=args.rank,
-    )
-
-    main(
-        launcher_agent_group,
         logger_hostname=args.launcher_hostname,
         logger_port=args.logger_port,
+        hostname=args.hostname,
     )
diff --git a/src/torchrunx/agent.py b/src/torchrunx/agent.py
index 27dd8489..4e518e6c 100644
--- a/src/torchrunx/agent.py
+++ b/src/torchrunx/agent.py
@@ -19,11 +19,19 @@
     LauncherAgentGroup,
     get_open_port,
 )
-from .utils.logging import log_records_to_socket, redirect_stdio_to_logger
+from .utils.log_streaming import log_records_to_socket, redirect_stdio_to_logger
 from .worker import WorkerArgs, worker_entrypoint
 
 
-def main(launcher_agent_group: LauncherAgentGroup, logger_hostname: str, logger_port: int) -> None:
+def main(
+    launcher_hostname: str,
+    launcher_port: int,
+    world_size: int,
+    rank: int,
+    logger_hostname: str,
+    logger_port: int,
+    hostname: str,
+) -> None:
     """Main function for agent processes (started on each node).
 
     This function spawns local worker processes (which run the target function). All agents monitor
@@ -31,13 +39,35 @@ def main(launcher_agent_group: LauncherAgentGroup, logger_hostname: str, logger_
     with each other (and launcher). All agents terminate if failure occurs in any agent.
 
     Arguments:
-        launcher_agent_group: The communication group between launcher and all agents.
-        logger_hostname: The hostname of the launcher (for logging).
-        logger_port: The port of the launcher (for logging).
+        launcher_hostname: Hostname of the launcher process.
+        launcher_port: Port for the process group on the launcher.
+        world_size: Number of agents + 1 (launcher).
+        rank: Rank of this agent.
+        logger_hostname: Hostname of the logging server.
+        logger_port: Port for the logging server.
+        hostname: Hostname of this agent.
     """
+    # Setup logging & stream logs to server
+
+    log_records_to_socket(
+        hostname=hostname, local_rank=None, logger_hostname=logger_hostname, logger_port=logger_port
+    )
+
+    logger = logging.getLogger()
+    redirect_stdio_to_logger(logger)
+
+    logger.debug("Initializing launcher-agent group.")
+
+    launcher_agent_group = LauncherAgentGroup(
+        launcher_hostname=launcher_hostname,
+        launcher_port=launcher_port,
+        world_size=world_size,
+        rank=rank,
+    )
+
     agent_rank = launcher_agent_group.rank - 1
 
-    # Communicate initial payloads between launcher/agents
+    logger.debug("Synchronizing launcher and agents.")
 
     payload = AgentPayload(
         hostname=socket.getfqdn(),
@@ -46,28 +76,13 @@ def main(launcher_agent_group: LauncherAgentGroup, logger_hostname: str, logger_
     )
 
     launcher_payload, agent_payloads = launcher_agent_group.sync_payloads(payload=payload)
-    main_agent_payload = agent_payloads[0]
 
     hostname = launcher_payload.hostnames[agent_rank]
     worker_world_size = launcher_payload.worker_world_size
     worker_global_ranks = launcher_payload.worker_global_ranks[agent_rank]
     num_workers = len(worker_global_ranks)
 
-    # Stream logs to logging server
-
-    logger = logging.getLogger()
-
-    log_records_to_socket(
-        logger=logger,
-        hostname=hostname,
-        local_rank=None,
-        logger_hostname=logger_hostname,
-        logger_port=logger_port,
-    )
-
-    redirect_stdio_to_logger(logger)
-
-    # Spawn worker processes
+    logger.info(f"Starting {num_workers} worker processes.")
 
     ctx = dist_mp.start_processes(
         name=f"{hostname}_",
@@ -78,11 +93,12 @@ def main(launcher_agent_group: LauncherAgentGroup, logger_hostname: str, logger_
                     function=launcher_payload.fn,
                     logger_hostname=logger_hostname,
                     logger_port=logger_port,
-                    main_agent_hostname=main_agent_payload.hostname,
-                    main_agent_port=main_agent_payload.port,
+                    master_hostname=agent_payloads[0].hostname,
+                    master_port=agent_payloads[0].port,
                     backend=launcher_payload.backend,
                     rank=worker_global_ranks[i],
                     local_rank=i,
+                    node_rank=agent_rank,
                     local_world_size=num_workers,
                     world_size=worker_world_size,
                     hostname=launcher_payload.hostnames[agent_rank],
@@ -104,6 +120,8 @@ def main(launcher_agent_group: LauncherAgentGroup, logger_hostname: str, logger_
     # Monitor and communicate agent statuses
     # Terminate gracefully upon failure
 
+    logger.debug("Entering worker monitoring and agent communication loop.")
+
     try:
         status = None
         while True:
@@ -117,8 +135,12 @@ def main(launcher_agent_group: LauncherAgentGroup, logger_hostname: str, logger_
             all_done = all(s.state == "done" for s in agent_statuses)
             any_failed = any(s.state == "failed" for s in agent_statuses)
             if all_done or any_failed:
+                logger.info(f"Workers exited {'with' if any_failed else 'without'} errors.")
                 break
     finally:
         ctx.close()
         sys.stdout.flush()
         sys.stderr.flush()
+        launcher_agent_group.shutdown()
+
+    logger.debug("Terminating agent process.")
diff --git a/src/torchrunx/integrations/__init__.py b/src/torchrunx/integrations/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/torchrunx/integrations/cli.py b/src/torchrunx/integrations/cli.py
new file mode 100644
index 00000000..7554219e
--- /dev/null
+++ b/src/torchrunx/integrations/cli.py
@@ -0,0 +1,130 @@
+"""Utilities for building a Launcher from argparse command-line arguments."""
+
+from __future__ import annotations
+
+__all__ = ["add_torchrunx_argument_group", "launcher_from_args"]
+
+from argparse import ArgumentParser, Namespace
+from typing import Literal
+
+from torchrunx import DEFAULT_ENV_VARS_FOR_COPY, Launcher
+
+
+def add_torchrunx_argument_group(parser: ArgumentParser) -> None:
+    """Add an argument group for torchrunx.Launcher to an ArgumentParser."""
+    group = parser.add_argument_group("torchrunx")
+
+    group.add_argument(
+        "--hostnames",
+        type=str,
+        nargs="+",
+        default="auto",
+        help="Nodes to launch the function on. Default: 'auto'. Use 'slurm' to infer from SLURM.",
+    )
+
+    group.add_argument(
+        "--workers-per-host",
+        type=str,
+        nargs="+",
+        default="gpu",
+        help="Processes to run per node. Can be 'cpu', 'gpu', or list[int]. Default: 'gpu'.",
+    )
+
+    group.add_argument(
+        "--ssh-config-file",
+        type=str,
+        default=None,
+        help="Path to SSH config file. Default: '~/.ssh/config' or '/etc/ssh/ssh_config'.",
+    )
+
+    group.add_argument(
+        "--backend",
+        type=str,
+        choices=["nccl", "gloo", "mpi", "ucc", "None"],
+        default="nccl",
+        help="For worker process group. Default: 'nccl'. Use 'gloo' for CPU. 'None' to disable.",
+    )
+
+    group.add_argument(
+        "--timeout",
+        type=int,
+        default=600,
+        help="Worker process group timeout in seconds. Default: 600.",
+    )
+
+    group.add_argument(
+        "--copy-env-vars",
+        type=str,
+        nargs="+",
+        default=DEFAULT_ENV_VARS_FOR_COPY,
+        help="Environment variables to copy to workers. Supports Unix pattern matching.",
+    )
+
+    group.add_argument(
+        "--extra-env-vars",
+        type=str,
+        nargs="*",
+        default=None,
+        help="Additional environment variables as key=value pairs.",
+    )
+
+    group.add_argument(
+        "--env-file", type=str, default=None, help="Path to a .env file with environment variables."
+    )
+
+
+def launcher_from_args(args: Namespace) -> Launcher:
+    """Create a torchrunx.Launcher from argparse.Namespace."""
+    _hostnames: list[str] = args.hostnames
+    hostnames: list[str] | Literal["auto", "slurm"]
+    if _hostnames == ["auto"]:
+        hostnames = "auto"
+    elif _hostnames == ["slurm"]:
+        hostnames = "slurm"
+    else:
+        hostnames = _hostnames
+
+    _workers_per_host: list[str] = args.workers_per_host
+    workers_per_host: int | list[int] | Literal["cpu", "gpu"]
+
+    if _workers_per_host == ["cpu"]:
+        workers_per_host = "cpu"
+    elif _workers_per_host == ["gpu"]:
+        workers_per_host = "gpu"
+    elif len(_workers_per_host) == 1:
+        workers_per_host = int(_workers_per_host[0])
+    else:
+        workers_per_host = [int(w) for w in _workers_per_host]
+
+    ssh_config_file: str | None = args.ssh_config_file
+
+    _backend: str = args.backend
+    backend: Literal["nccl", "gloo", "mpi", "ucc"] | None
+    if _backend == "None":  # noqa: SIM108
+        backend = None
+    else:
+        backend = _backend  # pyright: ignore [reportAssignmentType]
+
+    timeout: int = args.timeout
+
+    copy_env_vars: tuple[str, ...] = tuple(args.copy_env_vars)
+
+    _extra_env_vars: list[str] | None = args.extra_env_vars
+    extra_env_vars: dict[str, str] | None
+    if _extra_env_vars is not None:
+        extra_env_vars = dict(var.split("=", 1) for var in _extra_env_vars)
+    else:
+        extra_env_vars = None
+
+    env_file: str | None = args.env_file
+
+    return Launcher(
+        hostnames=hostnames,
+        workers_per_host=workers_per_host,
+        ssh_config_file=ssh_config_file,
+        backend=backend,
+        timeout=timeout,
+        copy_env_vars=copy_env_vars,
+        extra_env_vars=extra_env_vars,
+        env_file=env_file,
+    )
diff --git a/src/torchrunx/integrations/lightning.py b/src/torchrunx/integrations/lightning.py
new file mode 100644
index 00000000..bc886add
--- /dev/null
+++ b/src/torchrunx/integrations/lightning.py
@@ -0,0 +1,14 @@
+"""Integration with PyTorch Lightning Trainer."""
+
+from lightning.fabric.plugins.environments.torchelastic import (  # pyright: ignore [reportMissingImports]
+    TorchElasticEnvironment,
+)
+
+
+class TorchrunxClusterEnvironment(TorchElasticEnvironment):
+    """Compatible ClusterEnvironment for PyTorch Lightning."""
+
+    @staticmethod
+    def detect() -> bool:
+        """Force use of the TorchElasticEnvironment."""
+        return True
diff --git a/src/torchrunx/launcher.py b/src/torchrunx/launcher.py
index 4fa24e1a..f228076b 100644
--- a/src/torchrunx/launcher.py
+++ b/src/torchrunx/launcher.py
@@ -2,77 +2,142 @@
 
 from __future__ import annotations
 
-__all__ = ["Launcher", "launch", "LaunchResult"]
+__all__ = ["DEFAULT_ENV_VARS_FOR_COPY", "LaunchResult", "Launcher"]
 
 import fnmatch
-import ipaddress
 import itertools
 import logging
 import os
-import shlex
 import socket
-import subprocess
-import sys
-from dataclasses import dataclass
-from functools import partial, reduce
-from logging import Handler
+import typing
+from dataclasses import dataclass, field
+from functools import partial
 from multiprocessing import Event, Process
-from operator import add
-from pathlib import Path
-from typing import Any, Callable, Literal
+from typing import Generic, TypeVar
 
-import fabric
 import torch.distributed as dist
+from typing_extensions import ParamSpec, Self
 
 from .utils.comm import (
     LauncherAgentGroup,
     LauncherPayload,
     get_open_port,
 )
-from .utils.environment import auto_hosts, auto_workers, slurm_hosts, slurm_workers
-from .utils.errors import (
-    ExceptionFromWorker,
-    WorkerFailedError,
+from .utils.environment import (
+    build_launch_command,
+    execute_command,
+    resolve_environment,
 )
-from .utils.logging import LoggingServerArgs, start_logging_server
+from .utils.errors import ExceptionFromWorker, WorkerFailedError
+from .utils.log_handling import default_handlers
+from .utils.log_streaming import LoggingServerArgs, start_logging_server
+
+DEFAULT_ENV_VARS_FOR_COPY = (
+    "PATH",
+    "LD_LIBRARY",
+    "LIBRARY_PATH",
+    "PYTHON*",
+    "CUDA*",
+    "TORCH*",
+    "PYTORCH*",
+    "NCCL*",
+)
+
+FunctionP = ParamSpec("FunctionP")
+FunctionR = TypeVar("FunctionR")
 
 
 @dataclass
 class Launcher:
-    """Useful for sequential invocations or for specifying arguments via CLI."""
+    """For configuring the function launch environment."""
 
-    hostnames: list[str] | Literal["auto", "slurm"] = "auto"
-    workers_per_host: int | list[int] | Literal["auto", "slurm"] = "auto"
+    hostnames: list[str] | typing.Literal["auto", "slurm"] = "auto"
+    """Nodes to launch the function on. By default, infer from SLURM, else ``["localhost"]``."""
+    workers_per_host: int | list[int] | typing.Literal["cpu", "gpu"] = "gpu"
+    """Number of processes to run per node. By default, number of GPUs per host."""
     ssh_config_file: str | os.PathLike | None = None
-    backend: Literal["nccl", "gloo", "mpi", "ucc", "auto"] | None = "auto"
+    """For connecting to nodes. By default, ``"~/.ssh/config"`` or ``"/etc/ssh/ssh_config"``."""
+    backend: typing.Literal["nccl", "gloo", "mpi", "ucc"] | None = "nccl"
+    """`Backend <https://pytorch.org/docs/stable/distributed.html#torch.distributed.Backend>`_
+        for worker process group. By default, NCCL (GPU backend).
+        Use GLOO for CPU backend. ``None`` for no process group."""
     timeout: int = 600
-    default_env_vars: tuple[str, ...] = (
-        "PATH",
-        "LD_LIBRARY",
-        "LIBRARY_PATH",
-        "PYTHON*",
-        "CUDA*",
-        "TORCH*",
-        "PYTORCH*",
-        "NCCL*",
-    )
-    extra_env_vars: tuple[str, ...] = ()
+    """Worker process group timeout (seconds)."""
+    copy_env_vars: tuple[str, ...] = DEFAULT_ENV_VARS_FOR_COPY
+    """Environment variables to copy from the launcher process to workers.
+       Supports Unix pattern matching syntax."""
+    extra_env_vars: dict[str, str] | None = None
+    """Additional environment variables to load onto workers."""
     env_file: str | os.PathLike | None = None
+    """Path to a ``.env`` file, containing environment variables to load onto workers."""
 
-    def run(  # noqa: C901, PLR0912
+    handler_factory: typing.Callable[[], list[logging.Handler]] | typing.Literal["auto"] | None = (
+        field(default="auto", init=False)
+    )
+
+    def set_logging_handlers(
+        self,
+        handler_factory: typing.Callable[[], list[logging.Handler]] | typing.Literal["auto"] | None,
+    ) -> Self:
+        """Provide a ``handler_factory`` function to customize processing of agent/worker logs.
+
+        Parameters:
+          handler_factory: Function that constructs and returns :obj:`logging.Handler` objects.
+              See `Custom Logging <https://torchrun.xyz/usage/logging.html>`_ for more details.
+        """
+        self.handler_factory = handler_factory
+        return self
+
+    def run(  # noqa: C901, PLR0912, PLR0915
         self,
-        func: Callable,
-        func_args: tuple[Any] | None = None,
-        func_kwargs: dict[str, Any] | None = None,
-        handler_factory: Callable[[], list[Handler]] | Literal["auto"] | None = "auto",
-    ) -> LaunchResult:
-        """Run a function using the :mod:`torchrunx.Launcher` configuration."""
+        func: typing.Callable[FunctionP, FunctionR],
+        *args: FunctionP.args,
+        **kwargs: FunctionP.kwargs,
+    ) -> LaunchResult[FunctionR]:
+        """Distribute a function onto specified nodes and parallelize across workers.
+
+        Raises:
+            RuntimeError: Configuration issues.
+            Exception: Exceptions raised in worker processes are propagated.
+            WorkerFailedError: If a worker fails (e.g. from a segmentation fault).
+            AgentFailedError: If an agent fails, e.g. from an OS signal.
+        """
+        logger = logging.getLogger(__package__)
+
         if not dist.is_available():
             msg = "The torch.distributed package is not available."
             raise RuntimeError(msg)
 
-        hostnames = _resolve_hostnames(self.hostnames)
-        workers_per_host = _resolve_workers_per_host(self.workers_per_host, len(hostnames))
+        logger.debug("Preparing launch environment.")
+
+        ###
+
+        hostnames, workers_per_host = resolve_environment(
+            self.hostnames, self.workers_per_host, ssh_config_file=self.ssh_config_file
+        )
+        ssh_config_file = self.ssh_config_file
+        backend = self.backend
+        timeout = self.timeout
+
+        env_vars = {
+            k: v
+            for k, v in os.environ.items()
+            if any(fnmatch.fnmatch(k, e) for e in self.copy_env_vars)
+        }
+        if self.extra_env_vars is not None:
+            env_vars.update(self.extra_env_vars)
+        env_file = self.env_file
+
+        if self.handler_factory is None:
+
+            def handler_factory() -> list[logging.Handler]:
+                return []
+        elif self.handler_factory == "auto":
+            handler_factory = partial(default_handlers, hostnames, workers_per_host)
+        else:
+            handler_factory = self.handler_factory
+
+        ###
 
         launcher_hostname = socket.getfqdn()
         launcher_port = get_open_port()
@@ -82,19 +147,31 @@ def run(  # noqa: C901, PLR0912
         stop_logging_event = None
         log_process = None
         launcher_agent_group = None
+
+        _cumulative_workers = [0, *itertools.accumulate(workers_per_host)]
+        worker_global_ranks = [
+            list(range(_cumulative_workers[n], _cumulative_workers[n + 1]))
+            for n in range(len(hostnames))
+        ]
+        payload = LauncherPayload(
+            fn=partial(func, *args, **kwargs),
+            hostnames=hostnames,
+            worker_global_ranks=worker_global_ranks,
+            worker_world_size=sum(workers_per_host),
+            backend=backend,
+            timeout=timeout,
+        )
         agent_payloads = None
 
         try:
+            logger.debug("Starting logging server.")
+
             # Start logging server (recieves LogRecords from agents/workers)
 
             logging_server_args = LoggingServerArgs(
                 handler_factory=handler_factory,
                 logging_hostname=launcher_hostname,
                 logging_port=logging_port,
-                hostnames=hostnames,
-                workers_per_host=workers_per_host,
-                log_dir=Path(os.environ.get("TORCHRUNX_LOG_DIR", "torchrunx_logs")),
-                log_level=logging._nameToLevel[os.environ.get("TORCHRUNX_LOG_LEVEL", "INFO")],  # noqa: SLF001
             )
 
             stop_logging_event = Event()
@@ -110,24 +187,29 @@ def run(  # noqa: C901, PLR0912
             # Start agents on each node
 
             for i, hostname in enumerate(hostnames):
-                _execute_command(
-                    command=_build_launch_command(
+                logger.info(f'Launching "{func.__name__}" on {hostname}.')
+
+                execute_command(
+                    command=build_launch_command(
                         launcher_hostname=launcher_hostname,
                         launcher_port=launcher_port,
                         logger_port=logging_port,
                         world_size=world_size,
                         rank=i + 1,
-                        env_vars=(self.default_env_vars + self.extra_env_vars),
-                        env_file=self.env_file,
+                        env_vars=env_vars,
+                        env_file=env_file,
+                        hostname=hostname,
                     ),
                     hostname=hostname,
-                    ssh_config_file=self.ssh_config_file,
+                    ssh_config_file=ssh_config_file,
                 )
 
+            logger.debug("Initializing launcher-agent group.")
+
             # Initialize launcher-agent process group
             # ranks = (launcher, agent_{hostnames[0]}, ..., agent[-1])
 
-            launcher_agent_group = LauncherAgentGroup(
+            launcher_agent_group = LauncherAgentGroup[FunctionR](
                 launcher_hostname=launcher_hostname,
                 launcher_port=launcher_port,
                 world_size=world_size,
@@ -136,251 +218,71 @@ def run(  # noqa: C901, PLR0912
 
             # Sync initial payloads between launcher and agents
 
-            _cumulative_workers = [0, *itertools.accumulate(workers_per_host)]
-
-            worker_global_ranks = [
-                list(range(_cumulative_workers[n], _cumulative_workers[n + 1]))
-                for n in range(len(hostnames))
-            ]
-
-            payload = LauncherPayload(
-                fn=partial(func, *(func_args or ()), **(func_kwargs or {})),
-                hostnames=hostnames,
-                worker_global_ranks=worker_global_ranks,
-                worker_world_size=sum(workers_per_host),
-                backend=self.backend,
-                timeout=self.timeout,
-            )
-
+            logger.debug("Synchronizing launcher and agents.")
             launcher_payload, agent_payloads = launcher_agent_group.sync_payloads(payload=payload)
 
             # Monitor agent statuses (until failed or done)
 
+            logger.debug("Entering agent monitoring loop.")
+
             while True:
                 # could raise AgentFailedError
                 agent_statuses = launcher_agent_group.sync_agent_statuses(status=None)
 
                 # raises specific exception if any agent fails
                 for s in agent_statuses:
-                    for value in s.return_values:
-                        if isinstance(value, ExceptionFromWorker):
-                            raise value.exception
-                        if isinstance(value, WorkerFailedError):
-                            raise value
+                    for v in s.return_values:
+                        if isinstance(v, ExceptionFromWorker):
+                            raise v.exception
+                        if isinstance(v, WorkerFailedError):
+                            raise v
 
                 if all(s.state == "done" for s in agent_statuses):
-                    break
+                    logger.info("All workers completed successfully.")
+                    return_values: list[list[FunctionR]] = [s.return_values for s in agent_statuses]  # pyright: ignore [reportAssignmentType]
+                    return LaunchResult.from_returns(hostnames, return_values)
         finally:
-            if stop_logging_event is not None:
-                stop_logging_event.set()
-            if log_process is not None:
-                log_process.kill()
-
-            if launcher_agent_group is not None:
-                launcher_agent_group.shutdown()
-
             # cleanup: SIGTERM all agents
             if agent_payloads is not None:
                 for agent_payload, agent_hostname in zip(agent_payloads, hostnames):
-                    _execute_command(
+                    logger.debug("Killing PID %s on %s.", agent_payload.process_id, agent_hostname)
+
+                    execute_command(
                         command=f"kill {agent_payload.process_id}",
                         hostname=agent_hostname,
-                        ssh_config_file=self.ssh_config_file,
+                        ssh_config_file=ssh_config_file,
                     )
 
-        # if launch is successful: return objects from workers
-        return_values = [s.return_values for s in agent_statuses]
-        return LaunchResult(hostnames=hostnames, return_values=return_values)
-
-
-def launch(
-    func: Callable,
-    func_args: tuple[Any] | None = None,
-    func_kwargs: dict[str, Any] | None = None,
-    hostnames: list[str] | Literal["auto", "slurm"] = "auto",
-    workers_per_host: int | list[int] | Literal["auto", "slurm"] = "auto",
-    ssh_config_file: str | os.PathLike | None = None,
-    backend: Literal["nccl", "gloo", "mpi", "ucc", "auto"] | None = "auto",
-    timeout: int = 600,
-    default_env_vars: tuple[str, ...] = (
-        "PATH",
-        "LD_LIBRARY",
-        "LIBRARY_PATH",
-        "PYTHON*",
-        "CUDA*",
-        "TORCH*",
-        "PYTORCH*",
-        "NCCL*",
-    ),
-    extra_env_vars: tuple[str, ...] = (),
-    env_file: str | os.PathLike | None = None,
-    handler_factory: Callable[[], list[Handler]] | Literal["auto"] | None = "auto",
-) -> LaunchResult:
-    """Launch a distributed PyTorch function on the specified nodes.
-
-    Arguments:
-        func: Function to run on each worker.
-        func_args: Positional arguments for ``func``.
-        func_kwargs: Keyword arguments for ``func``.
-        hostnames: Nodes on which to launch the function.
-            Defaults to nodes inferred from a SLURM environment or localhost.
-        workers_per_host: Number of processes to run per node.
-            Can specify different counts per node with a list.
-        ssh_config_file: Path to an SSH configuration file for connecting to nodes.
-            Defaults to ``~/.ssh/config`` or ``/etc/ssh/ssh_config``.
-        backend: `Backend <https://pytorch.org/docs/stable/distributed.html#torch.distributed.Backend>`_
-            for worker process group. Defaults to NCCL (GPU) or GLOO (CPU). Set `None` to disable.
-        timeout: Worker process group timeout (seconds).
-        default_env_vars: Environment variables to copy from the launcher process to workers.
-            Supports bash pattern matching syntax.
-        extra_env_vars: Additional user-specified environment variables to copy.
-        env_file: Path to a file (e.g., `.env`) with additional environment variables to copy.
-        handler_factory: Function to build logging handlers that process agent and worker logs.
-            Defaults to an automatic basic logging scheme.
-
-    Raises:
-        RuntimeError: If there are configuration issues.
-        AgentFailedError: If an agent fails, e.g. from an OS signal.
-        WorkerFailedError: If a worker fails, e.g. from a segmentation fault.
-        Exception: Any exception raised in a worker process is propagated.
-    """
-    return Launcher(
-        hostnames=hostnames,
-        workers_per_host=workers_per_host,
-        ssh_config_file=ssh_config_file,
-        backend=backend,
-        timeout=timeout,
-        default_env_vars=default_env_vars,
-        extra_env_vars=extra_env_vars,
-        env_file=env_file,
-    ).run(
-        func=func,
-        func_args=func_args,
-        func_kwargs=func_kwargs,
-        handler_factory=handler_factory,
-    )
+            if launcher_agent_group is not None:
+                logger.debug("Killing launcher-agent group.")
+                launcher_agent_group.shutdown()
+
+            logger.debug("Stopping logging server.")
+
+            if stop_logging_event is not None:
+                stop_logging_event.set()
+            if log_process is not None:
+                log_process.kill()
 
 
 @dataclass
-class LaunchResult:
+class LaunchResult(Generic[FunctionR]):
     """Container for objects returned from workers after successful launches."""
 
-    hostnames: list[str]
-    return_values: list[list[Any]]
-
-    def by_hostnames(self) -> dict[str, list[Any]]:
-        """All return values from workers, indexed by host and local rank."""
-        return dict(zip(self.hostnames, self.return_values))
+    results: dict[str, list[FunctionR]]  # [hostname][local_rank] -> FunctionR
 
-    def by_ranks(self) -> list[Any]:
-        """All return values from workers, indexed by global rank."""
-        return reduce(add, self.return_values)
+    @classmethod
+    def from_returns(cls, hostnames: list[str], return_values: list[list[FunctionR]]) -> Self:  # noqa: D102
+        return cls(results=dict(zip(hostnames, return_values)))
 
-    def index(self, hostname: str, rank: int) -> Any:
+    def index(self, hostname: str, locak_rank: int) -> FunctionR:
         """Get return value from worker by host and local rank."""
-        return self.return_values[self.hostnames.index(hostname)][rank]
+        return self.results[hostname][locak_rank]
 
-    def rank(self, i: int) -> Any:
+    def rank(self, i: int) -> FunctionR:
         """Get return value from worker by global rank."""
-        return self.by_ranks()[i]
-
-
-def _resolve_hostnames(hostnames: list[str] | Literal["auto", "slurm"]) -> list[str]:
-    if hostnames == "auto":
-        return auto_hosts()
-    if hostnames == "slurm":
-        return slurm_hosts()
-    return hostnames
-
-
-def _resolve_workers_per_host(
-    workers_per_host: int | list[int] | Literal["auto", "slurm"],
-    num_hosts: int,
-) -> list[int]:
-    if workers_per_host == "auto":
-        workers_per_host = auto_workers()
-    elif workers_per_host == "slurm":
-        workers_per_host = slurm_workers()
-
-    if isinstance(workers_per_host, int):
-        workers_per_host = [workers_per_host] * num_hosts
-    elif len(workers_per_host) != num_hosts:
-        msg = "len(workers_per_host) != len(hostnames)"
-        raise ValueError(msg)
-
-    return workers_per_host
-
-
-def _build_launch_command(
-    launcher_hostname: str,
-    launcher_port: int,
-    logger_port: int,
-    world_size: int,
-    rank: int,
-    env_vars: tuple[str, ...],
-    env_file: str | os.PathLike | None,
-) -> str:
-    # shlex.quote prevents shell injection here (resolves S602 in execute_command)
-
-    commands = []
-
-    current_dir = shlex.quote(str(Path.cwd()))
-    commands.append("cd " + current_dir)
-
-    env_exports = []
-    for k, v in os.environ.items():
-        if any(fnmatch.fnmatch(k, e) for e in env_vars):
-            env_exports.append(shlex.quote(f"{k}={v}"))
-
-    if len(env_exports) > 0:
-        commands.append("export " + " ".join(env_exports))
-
-    if env_file is not None:
-        commands.append("source " + shlex.quote(str(env_file)))
-
-    python = shlex.quote(sys.executable)
-    launcher_hostname = shlex.quote(launcher_hostname)
-
-    commands.append(
-        f"{python} -u -m torchrunx "
-        f"--launcher-hostname {launcher_hostname} "
-        f"--launcher-port {launcher_port} "
-        f"--logger-port {logger_port} "
-        f"--world-size {world_size} "
-        f"--rank {rank}",
-    )
-
-    return " && ".join(commands)
-
-
-def _execute_command(
-    command: str,
-    hostname: str,
-    ssh_config_file: str | os.PathLike | None = None,
-) -> None:
-    is_localhost = True
-    _hostname_or_ip = hostname
-    try:
-        _ip = ipaddress.ip_address(_hostname_or_ip)
-    except ValueError:
-        _ip = ipaddress.ip_address(socket.gethostbyname(_hostname_or_ip))
-    if not _ip.is_loopback:
-        # compare local interface addresses between host and localhost
-        _host_addrs = [addr[4][0] for addr in socket.getaddrinfo(str(_ip), None)]
-        _localhost_addrs = [addr[4][0] for addr in socket.getaddrinfo(socket.gethostname(), None)]
-        is_localhost = len(set(_host_addrs) & set(_localhost_addrs)) > 0
-
-    if is_localhost:
-        # S602: subprocess.Popen is called with shell=True (https://docs.python.org/3.9/library/subprocess.html#security-considerations)
-        # Made sure to shlex.quote arguments in build_command to prevent shell injection
-        subprocess.Popen(command, shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)  # noqa: S602
-    else:
-        runtime_ssh_path = ssh_config_file
-        if isinstance(ssh_config_file, os.PathLike):
-            runtime_ssh_path = str(ssh_config_file)
-
-        with fabric.Connection(
-            host=hostname,
-            config=fabric.Config(runtime_ssh_path=runtime_ssh_path),
-        ) as conn:
-            conn.run(f"{command} >> /dev/null 2>&1 &", asynchronous=True)
+        for results_per_host in self.results.values():
+            if i < len(results_per_host):
+                return results_per_host[i]
+            i -= len(results_per_host)
+        raise IndexError
diff --git a/src/torchrunx/py.typed b/src/torchrunx/py.typed
new file mode 100644
index 00000000..e69de29b
diff --git a/src/torchrunx/utils/__init__.py b/src/torchrunx/utils/__init__.py
index b2aa5714..e69de29b 100644
--- a/src/torchrunx/utils/__init__.py
+++ b/src/torchrunx/utils/__init__.py
@@ -1 +0,0 @@
-"""Utility classes and functions."""
diff --git a/src/torchrunx/utils/comm.py b/src/torchrunx/utils/comm.py
index 4ed16f0a..0edbb681 100644
--- a/src/torchrunx/utils/comm.py
+++ b/src/torchrunx/utils/comm.py
@@ -3,19 +3,19 @@
 from __future__ import annotations
 
 __all__ = [
-    "get_open_port",
-    "LauncherAgentGroup",
-    "LauncherPayload",
     "AgentPayload",
-    "ExceptionFromWorker",
     "AgentStatus",
+    "ExceptionFromWorker",
+    "LauncherAgentGroup",
+    "LauncherPayload",
+    "get_open_port",
 ]
 
 import datetime
 import socket
 from contextlib import closing
 from dataclasses import dataclass, field
-from typing import TYPE_CHECKING, Any, Callable, Literal
+from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, TypeVar
 
 import cloudpickle
 import torch.distributed as dist
@@ -34,8 +34,12 @@ def get_open_port() -> int:
         return s.getsockname()[1]
 
 
+ObjectT = TypeVar("ObjectT", bound=Any)
+FunctionR = TypeVar("FunctionR")
+
+
 @dataclass
-class LauncherAgentGroup:
+class LauncherAgentGroup(Generic[FunctionR]):
     """Initializes a GLOO distributed process group between launcher and all agents."""
 
     launcher_hostname: str
@@ -62,24 +66,24 @@ def __post_init__(self) -> None:
             timeout=datetime.timedelta(seconds=30),
         )
 
-    def _serialize(self, obj: Any) -> bytes:
-        return cloudpickle.dumps(obj)
-
-    def _deserialize(self, serialized: bytes) -> Any:
-        return cloudpickle.loads(serialized)
-
-    def _all_gather(self, obj: Any) -> list:
-        """Gather object from every rank to list on every rank.
+    def _all_gather(self, obj: ObjectT) -> list[ObjectT]:
+        """Gather object from each rank to list (in rank-order).
 
         Raises:
             AgentFailedError: if any agent fails (observed by this communication).
         """
         try:
-            object_bytes = self._serialize(obj)
-            object_list = [b""] * self.world_size
-            # raises RuntimeError if timeout
-            dist.all_gather_object(object_list=object_list, obj=object_bytes, group=self.group)
-            return [self._deserialize(o) for o in object_list]
+            rank_obj = cloudpickle.dumps((self.rank, obj))
+            all_gather_list = [b""] * self.world_size
+
+            dist.all_gather_object(
+                object_list=all_gather_list, obj=rank_obj, group=self.group
+            )  # raises RuntimeError if timeout
+
+            rank_obj_list: list[tuple[int, ObjectT]] = sorted(
+                [cloudpickle.loads(o) for o in all_gather_list]
+            )
+            return [obj for _, obj in rank_obj_list]
         except RuntimeError as e:
             # occurs if launcher or any agent dies and communication times out
             raise AgentFailedError from e
@@ -90,13 +94,17 @@ def sync_payloads(
     ) -> tuple[LauncherPayload, list[AgentPayload]]:
         """All-gather payloads across launcher and all agents."""
         payloads = self._all_gather(payload)
-        launcher_payload = payloads[0]
-        agent_payloads = payloads[1:]
+        launcher_payload: LauncherPayload = payloads[0]  # pyright: ignore [reportAssignmentType]
+        agent_payloads: list[AgentPayload] = payloads[1:]  # pyright: ignore [reportAssignmentType]
         return launcher_payload, agent_payloads
 
-    def sync_agent_statuses(self, status: AgentStatus | None) -> list[AgentStatus]:
+    def sync_agent_statuses(
+        self, status: AgentStatus[FunctionR] | None
+    ) -> list[AgentStatus[FunctionR]]:
         """All-gather agent statuses across launcher and all agents."""
-        return self._all_gather(status)[1:]  # [0] is launcher (status=None)
+        # only launcher has status = None
+        agent_statuses: list[AgentStatus[FunctionR]] = self._all_gather(status)[1:]  # pyright: ignore [reportAssignmentType]
+        return agent_statuses
 
     def shutdown(self) -> None:
         """Terminate process group."""
@@ -111,7 +119,7 @@ class LauncherPayload:
     hostnames: list[str]
     worker_global_ranks: list[list[int]]
     worker_world_size: int
-    backend: Literal["nccl", "gloo", "mpi", "ucc", "auto"] | None
+    backend: Literal["nccl", "gloo", "mpi", "ucc"] | None
     timeout: int
 
 
@@ -125,7 +133,7 @@ class AgentPayload:
 
 
 @dataclass
-class AgentStatus:
+class AgentStatus(Generic[FunctionR]):
     """Status of each agent (to be synchronized in LauncherAgentGroup).
 
     Attributes:
@@ -134,7 +142,7 @@ class AgentStatus:
     """
 
     state: Literal["running", "failed", "done"]
-    return_values: list[Any | WorkerFailedError | ExceptionFromWorker] = field(
+    return_values: list[FunctionR | WorkerFailedError | ExceptionFromWorker] = field(
         default_factory=list
     )  # indexed by local rank
 
@@ -147,7 +155,7 @@ def from_result(cls, result: RunProcsResult | None) -> Self:
         for local_rank, failure in result.failures.items():
             result.return_values[local_rank] = WorkerFailedError(failure.message)
 
-        return_values = list(result.return_values.values())
+        return_values = [result.return_values[key] for key in sorted(result.return_values.keys())]
 
         failed = any(isinstance(v, (ExceptionFromWorker, WorkerFailedError)) for v in return_values)
         state = "failed" if failed else "done"
diff --git a/src/torchrunx/utils/environment.py b/src/torchrunx/utils/environment.py
index c297f027..aad8e97f 100644
--- a/src/torchrunx/utils/environment.py
+++ b/src/torchrunx/utils/environment.py
@@ -2,60 +2,204 @@
 
 from __future__ import annotations
 
-__all__ = ["in_slurm_job", "slurm_hosts", "slurm_workers", "auto_hosts", "auto_workers"]
+from typing import Literal
 
+from typing_extensions import TypeAlias
+
+__all__ = [
+    "auto_hosts",
+    "build_launch_command",
+    "execute_command",
+    "get_cpus_per_host",
+    "get_gpus_per_host",
+    "in_slurm_job",
+    "slurm_hosts",
+]
+
+import ipaddress
 import os
+import shlex
+import socket
 import subprocess
+import sys
+from pathlib import Path
 
-import torch
+import fabric
 
+Hostnames: TypeAlias = list[str]
+WorkersPerHost: TypeAlias = list[int]
 
-def in_slurm_job() -> bool:
-    """Check if current process is running in a Slurm allocation."""
-    return "SLURM_JOB_ID" in os.environ
 
+def resolve_environment(
+    hostnames: list[str] | Literal["auto", "slurm"],
+    workers_per_host: int | list[int] | Literal["cpu", "gpu"],
+    *,
+    ssh_config_file: str | os.PathLike | None = None,
+) -> tuple[Hostnames, WorkersPerHost]:
+    if hostnames == "auto":
+        hostnames = auto_hosts()
+    elif hostnames == "slurm":
+        hostnames = slurm_hosts()
 
-def slurm_hosts() -> list[str]:
-    """Retrieves hostnames of Slurm-allocated nodes."""
-    # TODO: sanity check SLURM variables, commands
-    if not in_slurm_job():
-        msg = "Not in a SLURM job"
-        raise RuntimeError(msg)
-    return (
-        subprocess.check_output(["scontrol", "show", "hostnames", os.environ["SLURM_JOB_NODELIST"]])
-        .decode()
-        .strip()
-        .split("\n")
-    )
-
-
-def slurm_workers() -> int:
-    """Determines number of workers per node in current Slurm allocation."""
-    # TODO: sanity check SLURM variables, commands
-    if not in_slurm_job():
-        msg = "Not in a SLURM job"
-        raise RuntimeError(msg)
+    if isinstance(workers_per_host, int):
+        workers_per_host = [workers_per_host] * len(hostnames)
+    elif workers_per_host == "cpu":
+        workers_per_host = get_cpus_per_host(hostnames, ssh_config_file=ssh_config_file)
+    elif workers_per_host == "gpu":
+        gpus_per_host: list[int] = get_gpus_per_host(hostnames, ssh_config_file=ssh_config_file)
+        if any(g == 0 for g in gpus_per_host):
+            hosts_without_gpus = [h for h, g in zip(hostnames, gpus_per_host) if g == 0]
+            msg = f'workers_per_host="gpu", but no GPUs detected on: {hosts_without_gpus}.'
+            raise RuntimeError(msg)
+        workers_per_host = gpus_per_host
 
-    if "SLURM_JOB_GPUS" in os.environ:
-        # TODO: is it possible to allocate uneven GPUs across nodes?
-        return len(os.environ["SLURM_JOB_GPUS"].split(","))
-    if "SLURM_GPUS_PER_NODE" in os.environ:
-        return int(os.environ["SLURM_GPUS_PER_NODE"])
-
-    return int(os.environ["SLURM_CPUS_ON_NODE"])
+    return hostnames, workers_per_host
 
 
 def auto_hosts() -> list[str]:
     """Automatically determine hostnames to launch to."""
     if in_slurm_job():
         return slurm_hosts()
-
     return ["localhost"]
 
 
-def auto_workers() -> int:
-    """Automatically determine workers per host from SLURM or based on GPU/CPU count."""
-    if in_slurm_job():
-        return slurm_workers()
+def in_slurm_job() -> bool:
+    """Check if current process is running in a Slurm allocation."""
+    return "SLURM_JOB_ID" in os.environ or "SLURM_JOBID" in os.environ
+
+
+def slurm_hosts() -> list[str]:
+    """Retrieves hostnames of Slurm-allocated nodes."""
+    if not in_slurm_job():
+        msg = "Not in a SLURM job"
+        raise RuntimeError(msg)
+
+    return subprocess.check_output(["scontrol", "show", "hostnames"]).decode().strip().split("\n")
+
+
+def get_cpus_per_host(
+    hostnames: list[str], *, ssh_config_file: str | os.PathLike | None = None
+) -> list[int]:
+    """Count the number of GPUs on each host."""
+    python = shlex.quote(sys.executable)
+    command = f"{python} -c \"import os; print(len(os.sched_getaffinity(0)), end='')\""
+    return [
+        int(
+            execute_command(
+                command, hostname, ssh_config_file=ssh_config_file, return_stdout_stderr=True
+            )[0]
+        )
+        for hostname in hostnames
+    ]
+
+
+def get_gpus_per_host(
+    hostnames: list[str], *, ssh_config_file: str | os.PathLike | None = None
+) -> list[int]:
+    """Count the number of GPUs on each host."""
+    python = shlex.quote(sys.executable)
+    command = f"{python} -c \"import torch; print(torch.cuda.device_count(), end='')\""
+    return [
+        int(
+            execute_command(
+                command,
+                hostname,
+                ssh_config_file=ssh_config_file,
+                return_stdout_stderr=True,
+            )[0]
+        )
+        for hostname in hostnames
+    ]
+
+
+def build_launch_command(
+    launcher_hostname: str,
+    launcher_port: int,
+    logger_port: int,
+    world_size: int,
+    rank: int,
+    env_vars: dict[str, str],
+    env_file: str | os.PathLike | None,
+    hostname: str,
+) -> str:
+    """Generator for command to launch torchrunx on an agent."""
+    # shlex.quote prevents shell injection here (resolves S602 in execute_command)
+
+    commands = []
+
+    commands.append(f"cd {shlex.quote(str(Path.cwd()))}")
+
+    env_exports = [shlex.quote(f"{k}={v}") for k, v in env_vars.items()]
+    if len(env_exports) > 0:
+        commands.append("export " + " ".join(env_exports))
+
+    if env_file is not None:
+        commands.append("source " + shlex.quote(str(env_file)))
+
+    python = shlex.quote(sys.executable)
+    launcher_hostname = shlex.quote(launcher_hostname)
+    hostname = shlex.quote(hostname)
+
+    commands.append(
+        f"{python} -u -m torchrunx "
+        f"--launcher-hostname {launcher_hostname} "
+        f"--launcher-port {launcher_port} "
+        f"--logger-port {logger_port} "
+        f"--world-size {world_size} "
+        f"--rank {rank} "
+        f"--hostname {hostname}",
+    )
 
-    return torch.cuda.device_count() or os.cpu_count() or 1
+    return " && ".join(commands)
+
+
+def execute_command(
+    command: str,
+    hostname: str,
+    *,
+    ssh_config_file: str | os.PathLike | None = None,
+    return_stdout_stderr: bool = False,
+) -> tuple[str, str]:
+    """Run a command on local or remote host (using SSH)."""
+    is_localhost = True
+    _hostname_or_ip = hostname
+    try:
+        _ip = ipaddress.ip_address(_hostname_or_ip)
+    except ValueError:
+        _ip = ipaddress.ip_address(socket.gethostbyname(_hostname_or_ip))
+    if not _ip.is_loopback:
+        # compare local interface addresses between host and localhost
+        _host_addrs = [addr[4][0] for addr in socket.getaddrinfo(str(_ip), None)]
+        _localhost_addrs = [addr[4][0] for addr in socket.getaddrinfo(socket.gethostname(), None)]
+        is_localhost = len(set(_host_addrs) & set(_localhost_addrs)) > 0
+
+    if is_localhost:
+        # S602: subprocess.Popen is called with shell=True (https://docs.python.org/3.9/library/subprocess.html#security-considerations)
+        # Made sure to shlex.quote arguments in build_command to prevent shell injection
+        process = subprocess.Popen(  # noqa: S602
+            command,
+            shell=True,
+            text=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+
+        if return_stdout_stderr:
+            stdout, stderr = process.communicate()
+            return stdout, stderr
+    else:
+        runtime_ssh_path = ssh_config_file
+        if isinstance(ssh_config_file, os.PathLike):
+            runtime_ssh_path = str(ssh_config_file)
+
+        with fabric.Connection(
+            host=hostname,
+            config=fabric.Config(runtime_ssh_path=runtime_ssh_path),
+        ) as conn:
+            promise = conn.run(command, asynchronous=True, hide=True)
+
+            if return_stdout_stderr:
+                results = promise.join()
+                return results.stdout, results.stderr
+
+    return ("", "")
diff --git a/src/torchrunx/utils/errors.py b/src/torchrunx/utils/errors.py
index e6bb3d24..b211f007 100644
--- a/src/torchrunx/utils/errors.py
+++ b/src/torchrunx/utils/errors.py
@@ -4,8 +4,8 @@
 
 __all__ = [
     "AgentFailedError",
-    "WorkerFailedError",
     "ExceptionFromWorker",
+    "WorkerFailedError",
 ]
 
 
diff --git a/src/torchrunx/utils/log_handling.py b/src/torchrunx/utils/log_handling.py
new file mode 100644
index 00000000..34e919f1
--- /dev/null
+++ b/src/torchrunx/utils/log_handling.py
@@ -0,0 +1,108 @@
+"""Utilities for intercepting logs in worker processes and handling these in the Launcher."""
+
+from __future__ import annotations
+
+__all__ = [
+    "RedirectHandler",
+    "default_handlers",
+    "file_handlers",
+    "get_handler_filter",
+]
+
+import datetime
+import logging
+import os
+from logging import LogRecord
+from pathlib import Path
+from typing import Callable
+
+
+def get_handler_filter(
+    hostname: str,
+    local_rank: int | None,  # None indicates agent
+    log_level: int = logging.NOTSET,
+) -> Callable[[LogRecord], bool]:
+    """Get an agent- or worker- specific filter to apply to :obj:`logging.Handler`."""
+    return lambda record: (
+        record.hostname == hostname  # pyright: ignore [reportAttributeAccessIssue]
+        and record.local_rank == local_rank  # pyright: ignore [reportAttributeAccessIssue]
+        and record.levelno >= log_level
+    )
+
+
+class RedirectHandler(logging.Handler):
+    """For handling logs from hostname/rank with a corresponding logger in the launcher process."""
+
+    def emit(self, record: LogRecord) -> None:
+        """Handle log record using corresponding logger."""
+        logger = logging.getLogger(record.name)
+        if logger.isEnabledFor(record.levelno):
+            logger.handle(record)
+
+
+def file_handlers(
+    hostnames: list[str],
+    workers_per_host: list[int],
+    log_dir: str | os.PathLike = Path("torchrunx_logs"),
+    log_level: int = logging.NOTSET,
+) -> list[logging.Handler]:
+    """Handler builder function for writing logs for all workers/agents to a directory.
+
+    Files are named with hostname and the local_rank (for workers).
+    """
+    handlers = []
+
+    timestamp = datetime.datetime.now().isoformat(timespec="seconds")
+    log_dir = Path(log_dir) / timestamp
+    log_dir.mkdir(parents=True, exist_ok=True)
+
+    formatter = logging.Formatter(
+        "%(asctime)s:%(levelname)s: %(message)s", datefmt="%Y-%m-%d %H:%M:%S"
+    )
+
+    for hostname, num_workers in zip(hostnames, workers_per_host):
+        for local_rank in [None, *range(num_workers)]:
+            local_rank_str = f"[{local_rank}]" if local_rank is not None else ""
+            file_path = log_dir / f"{hostname}{local_rank_str}.log"
+
+            h = logging.FileHandler(file_path)
+            h.addFilter(get_handler_filter(hostname, local_rank, log_level=log_level))
+            h.setFormatter(formatter)
+
+            handlers.append(h)
+
+    return handlers
+
+
+def default_handlers(hostnames: list[str], workers_per_host: list[int]) -> list[logging.Handler]:
+    """Constructs default :obj:`logging.Handler` objects.
+
+    Logs for the rank 0 agent and rank 0 worker are redirected to loggers in the launcher process.
+    Logs for all hosts/workers are written to files in ``$TORCHRUNX_LOG_DIR`` (named by timestamp,
+    hostname, local_rank).
+    """
+    log_dir = Path(os.environ.get("TORCHRUNX_LOG_DIR", "torchrunx_logs"))
+
+    file_log_level = os.environ.get("TORCHRUNX_LOG_LEVEL", "INFO")
+    if file_log_level.isdigit():
+        file_log_level = int(file_log_level)
+    elif file_log_level in logging._nameToLevel:  # noqa: SLF001
+        file_log_level = logging._nameToLevel[file_log_level]  # noqa: SLF001
+    else:
+        msg = (
+            f"Invalid value for $TORCHRUNX_LOG_LEVEL: {file_log_level}. "
+            f"Should be a positive integer or any of: {', '.join(logging._nameToLevel.keys())}."  # noqa: SLF001
+        )
+        raise ValueError(msg)
+
+    redirect_agent_0_handler = RedirectHandler()
+    redirect_agent_0_handler.addFilter(get_handler_filter(hostnames[0], None))
+
+    redirect_worker_0_handler = RedirectHandler()
+    redirect_worker_0_handler.addFilter(get_handler_filter(hostnames[0], 0))
+
+    return [
+        redirect_agent_0_handler,
+        redirect_worker_0_handler,
+        *file_handlers(hostnames, workers_per_host, log_dir=log_dir, log_level=file_log_level),
+    ]
diff --git a/src/torchrunx/utils/logging.py b/src/torchrunx/utils/log_streaming.py
similarity index 50%
rename from src/torchrunx/utils/logging.py
rename to src/torchrunx/utils/log_streaming.py
index e8437816..af5ff520 100644
--- a/src/torchrunx/utils/logging.py
+++ b/src/torchrunx/utils/log_streaming.py
@@ -4,17 +4,11 @@
 
 __all__ = [
     "LoggingServerArgs",
-    "start_logging_server",
-    "redirect_stdio_to_logger",
     "log_records_to_socket",
-    "add_filter_to_handler",
-    "file_handler",
-    "stream_handler",
-    "file_handlers",
-    "default_handlers",
+    "redirect_stdio_to_logger",
+    "start_logging_server",
 ]
 
-import datetime
 import logging
 import pickle
 import signal
@@ -25,121 +19,13 @@
 from io import StringIO
 from logging import Handler, Logger
 from logging.handlers import SocketHandler
-from pathlib import Path
+from multiprocessing.synchronize import Event as EventClass
 from socketserver import StreamRequestHandler, ThreadingTCPServer
-from typing import TYPE_CHECKING, Callable, Literal
+from typing import Callable
 
 import cloudpickle
 from typing_extensions import Self
 
-if TYPE_CHECKING:
-    import os
-    from multiprocessing.synchronize import Event as EventClass
-
-## Handler utilities
-
-
-def add_filter_to_handler(
-    handler: Handler,
-    hostname: str,
-    local_rank: int | None,  # None indicates agent
-    log_level: int = logging.NOTSET,
-) -> None:
-    """Apply a filter to :mod:`logging.Handler` so only specific worker logs are handled.
-
-    Args:
-        handler: Handler to be modified.
-        hostname: Name of specified host.
-        local_rank: Rank of specified worker on host (or ``None`` for agent itself).
-        log_level: Minimum log level to capture.
-    """
-
-    def _filter(record: WorkerLogRecord) -> bool:
-        return (
-            record.hostname == hostname
-            and record.local_rank == local_rank
-            and record.levelno >= log_level
-        )
-
-    handler.addFilter(_filter)  # pyright: ignore [reportArgumentType]
-
-
-def stream_handler(
-    hostname: str, local_rank: int | None, log_level: int = logging.NOTSET
-) -> Handler:
-    """Handler builder function for writing logs from specified hostname/rank to stdout."""
-    handler = logging.StreamHandler(stream=sys.stdout)
-    add_filter_to_handler(handler, hostname, local_rank, log_level=log_level)
-    handler.setFormatter(
-        logging.Formatter(
-            "%(asctime)s:%(levelname)s:%(hostname)s[%(local_rank)s]: %(message)s"
-            if local_rank is not None
-            else "%(asctime)s:%(levelname)s:%(hostname)s: %(message)s",
-        ),
-    )
-    return handler
-
-
-def file_handler(
-    hostname: str,
-    local_rank: int | None,
-    file_path: str | os.PathLike,
-    log_level: int = logging.NOTSET,
-) -> Handler:
-    """Handler builder function for writing logs from specified hostname/rank to a file."""
-    handler = logging.FileHandler(file_path)
-    add_filter_to_handler(handler, hostname, local_rank, log_level=log_level)
-    formatter = logging.Formatter("%(asctime)s:%(levelname)s: %(message)s")
-    handler.setFormatter(formatter)
-    return handler
-
-
-def file_handlers(
-    hostnames: list[str],
-    workers_per_host: list[int],
-    log_dir: str | os.PathLike = Path("torchrunx_logs"),
-    log_level: int = logging.NOTSET,
-) -> list[Handler]:
-    """Handler builder function for writing logs for all workers/agents to a directory.
-
-    Files are named with timestamp, hostname, and the local_rank (for workers).
-    """
-    handlers = []
-
-    Path(log_dir).mkdir(parents=True, exist_ok=True)
-    timestamp = datetime.datetime.now().isoformat(timespec="seconds")
-
-    for hostname, num_workers in zip(hostnames, workers_per_host):
-        for local_rank in [None, *range(num_workers)]:
-            file_path = (
-                f"{log_dir}/{timestamp}-{hostname}"
-                + (f"[{local_rank}]" if local_rank is not None else "")
-                + ".log"
-            )
-            handlers.append(file_handler(hostname, local_rank, file_path, log_level=log_level))
-
-    return handlers
-
-
-def default_handlers(
-    hostnames: list[str],
-    workers_per_host: list[int],
-    log_dir: str | os.PathLike = Path("torchrunx_logs"),
-    log_level: int = logging.INFO,
-) -> list[Handler]:
-    """Default :mod:`logging.Handler`s for ``log_handlers="auto"`` in :mod:`torchrunx.launch`.
-
-    Logs for ``host[0]`` and its ``local_rank[0]`` worker are written to launcher process stdout.
-    Logs for all agents/workers are written to files in ``log_dir`` (named by timestamp, hostname,
-    local_rank).
-    """
-    return [
-        stream_handler(hostname=hostnames[0], local_rank=None, log_level=log_level),
-        stream_handler(hostname=hostnames[0], local_rank=0, log_level=log_level),
-        *file_handlers(hostnames, workers_per_host, log_dir=log_dir, log_level=log_level),
-    ]
-
-
 ## Launcher utilities
 
 
@@ -166,7 +52,19 @@ def handle(self) -> None:
                     while len(chunk) < slen:
                         chunk = chunk + self.connection.recv(slen - len(chunk))
                     obj = pickle.loads(chunk)
-                    record = logging.makeLogRecord(obj)
+
+                    ## Transform log record
+
+                    record: WorkerLogRecord = logging.makeLogRecord(obj)  # pyright: ignore [reportAssignmentType]
+
+                    if record.name != "root":
+                        record.msg = f"{record.name}:{record.msg}"
+
+                    record.name = f"torchrunx.{record.hostname}"
+                    if record.local_rank is not None:
+                        record.name += f".{record.local_rank}"
+
+                    ## Handle log record
 
                     for handler in handlers:
                         handler.handle(record)
@@ -188,43 +86,25 @@ def shutdown(self) -> None:
 class LoggingServerArgs:
     """Arguments for starting a :class:`_LogRecordSocketReceiver`."""
 
-    handler_factory: Callable[[], list[Handler]] | Literal["auto"] | None
+    handler_factory: Callable[[], list[Handler]]
     logging_hostname: str
     logging_port: int
-    hostnames: list[str]
-    workers_per_host: list[int]
-    log_dir: str | os.PathLike
-    log_level: int
 
     def serialize(self) -> bytes:
         """Serialize :class:`LoggingServerArgs` for passing to a new process."""
         return cloudpickle.dumps(self)
 
-    @staticmethod
-    def deserialize(serialized: bytes) -> LoggingServerArgs:
+    @classmethod
+    def from_bytes(cls, serialized: bytes) -> Self:
         """Deserialize bytes to :class:`LoggingServerArgs`."""
         return cloudpickle.loads(serialized)
 
 
-def start_logging_server(
-    serialized_args: bytes,
-    stop_event: EventClass,
-) -> None:
+def start_logging_server(serialized_args: bytes, stop_event: EventClass) -> None:
     """Serve :class:`_LogRecordSocketReceiver` until stop event triggered."""
-    args = LoggingServerArgs.deserialize(serialized_args)
-
-    log_handlers = []
-    if args.handler_factory is None:
-        log_handlers = []
-    elif args.handler_factory == "auto":
-        log_handlers = default_handlers(
-            hostnames=args.hostnames,
-            workers_per_host=args.workers_per_host,
-            log_dir=args.log_dir,
-            log_level=args.log_level,
-        )
-    elif isinstance(args.handler_factory, Callable):
-        log_handlers = args.handler_factory()
+    args = LoggingServerArgs.from_bytes(serialized_args)
+
+    log_handlers = args.handler_factory()
 
     log_receiver = _LogRecordSocketReceiver(
         host=args.logging_hostname,
@@ -285,14 +165,13 @@ def from_record(cls, record: logging.LogRecord, hostname: str, local_rank: int |
 
 
 def log_records_to_socket(
-    logger: Logger,
     hostname: str,
     local_rank: int | None,  # None indicates agent
     logger_hostname: str,
     logger_port: int,
 ) -> None:
     """Encode LogRecords with hostname/local_rank. Send to TCP socket on Launcher."""
-    logger.setLevel(logging.NOTSET)
+    logging.root.setLevel(logging.NOTSET)
 
     old_factory = logging.getLogRecordFactory()
 
@@ -302,4 +181,4 @@ def record_factory(*args, **kwargs) -> WorkerLogRecord:  # noqa: ANN002, ANN003
 
     logging.setLogRecordFactory(record_factory)
 
-    logger.addHandler(SocketHandler(host=logger_hostname, port=logger_port))
+    logging.root.addHandler(SocketHandler(host=logger_hostname, port=logger_port))
diff --git a/src/torchrunx/worker.py b/src/torchrunx/worker.py
index 12caf827..eb6358e3 100644
--- a/src/torchrunx/worker.py
+++ b/src/torchrunx/worker.py
@@ -7,15 +7,15 @@
 import os
 import sys
 import traceback
-from dataclasses import dataclass
+from dataclasses import asdict, dataclass
 from typing import Any, Callable, Literal
 
 import cloudpickle
-import torch
 import torch.distributed as dist
+from typing_extensions import Self
 
 from .utils.errors import ExceptionFromWorker
-from .utils.logging import log_records_to_socket, redirect_stdio_to_logger
+from .utils.log_streaming import log_records_to_socket, redirect_stdio_to_logger
 
 __all__ = ["WorkerArgs", "worker_entrypoint"]
 
@@ -27,77 +27,70 @@ class WorkerArgs:
     function: Callable
     logger_hostname: str
     logger_port: int
-    main_agent_hostname: str
-    main_agent_port: int
-    backend: Literal["nccl", "gloo", "mpi", "ucc", "auto"] | None
+    master_hostname: str
+    master_port: int
+    backend: Literal["nccl", "gloo", "mpi", "ucc"] | None
     rank: int
     local_rank: int
+    node_rank: int
     local_world_size: int
     world_size: int
     hostname: str
     timeout: int
 
-    def serialize(self) -> SerializedWorkerArgs:
+    def serialize(self) -> bytes:
         """Arguments must be serialized (to bytes) before passed to spawned workers."""
-        return SerializedWorkerArgs(worker_args=self)
+        return cloudpickle.dumps(asdict(self))
 
+    @classmethod
+    def from_bytes(cls, b: bytes) -> Self:
+        """Deserialize the bytes back into a WorkerArgs object."""
+        return cls(**cloudpickle.loads(b))
 
-class SerializedWorkerArgs:
-    """We use cloudpickle as a serialization backend (as it supports nearly all Python types)."""
 
-    def __init__(self, worker_args: WorkerArgs) -> None:
-        self.bytes = cloudpickle.dumps(worker_args)
-
-    def deserialize(self) -> WorkerArgs:
-        return cloudpickle.loads(self.bytes)
-
-
-def worker_entrypoint(serialized_worker_args: SerializedWorkerArgs) -> Any | ExceptionFromWorker:
+def worker_entrypoint(serialized_worker_args: bytes) -> Any | ExceptionFromWorker:
     """Function called by spawned worker processes.
 
     Workers first prepare a process group (for communicating with all other workers).
     They then invoke the user-provided function.
     Logs are transmitted to the launcher process.
     """
-    worker_args: WorkerArgs = serialized_worker_args.deserialize()
+    worker_args = WorkerArgs.from_bytes(serialized_worker_args)
 
     # Start logging to the logging server (i.e. the launcher)
 
-    logger = logging.getLogger()
-
     log_records_to_socket(
-        logger=logger,
         hostname=worker_args.hostname,
         local_rank=worker_args.local_rank,
         logger_hostname=worker_args.logger_hostname,
         logger_port=worker_args.logger_port,
     )
 
+    logger = logging.getLogger()
     redirect_stdio_to_logger(logger)
 
     # Set rank/world environment variables
 
     os.environ["RANK"] = str(worker_args.rank)
     os.environ["LOCAL_RANK"] = str(worker_args.local_rank)
+    os.environ["GROUP_RANK"] = str(worker_args.node_rank)
     os.environ["LOCAL_WORLD_SIZE"] = str(worker_args.local_world_size)
     os.environ["WORLD_SIZE"] = str(worker_args.world_size)
-    os.environ["MASTER_ADDR"] = worker_args.main_agent_hostname
-    os.environ["MASTER_PORT"] = str(worker_args.main_agent_port)
+    os.environ["MASTER_ADDR"] = worker_args.master_hostname
+    os.environ["MASTER_PORT"] = str(worker_args.master_port)
 
     # Prepare the process group (e.g. for communication within the user's function)
 
     if worker_args.backend is not None:
         backend = worker_args.backend
-        if backend == "auto":
-            backend = "nccl" if torch.cuda.is_available() else "gloo"
 
         dist.init_process_group(
             backend=backend,
             world_size=worker_args.world_size,
             rank=worker_args.rank,
             store=dist.TCPStore(  # pyright: ignore [reportPrivateImportUsage]
-                host_name=worker_args.main_agent_hostname,
-                port=worker_args.main_agent_port,
+                host_name=worker_args.master_hostname,
+                port=worker_args.master_port,
                 world_size=worker_args.world_size,
                 is_master=(worker_args.rank == 0),
             ),
diff --git a/tests/test_ci.py b/tests/test_ci.py
index 79d89433..27e4223a 100644
--- a/tests/test_ci.py
+++ b/tests/test_ci.py
@@ -1,5 +1,7 @@
+import datetime
 import os
 import tempfile
+import time
 from pathlib import Path
 from typing import NoReturn
 
@@ -30,12 +32,10 @@ def dist_func() -> torch.Tensor:
     tmp = tempfile.mkdtemp()
     os.environ["TORCHRUNX_DIR"] = tmp
 
-    r = trx.launch(
-        func=dist_func,
-        func_kwargs={},
+    r = trx.Launcher(
         workers_per_host=2,
-        backend="gloo",  # log_dir="./test_logs"
-    )
+        backend="gloo",
+    ).run(dist_func)
 
     assert torch.all(r.rank(0) == r.rank(1))
 
@@ -50,19 +50,34 @@ def dist_func() -> None:
 
     num_workers = 2
 
-    trx.launch(
-        func=dist_func,
-        func_kwargs={},
+    before_timestamp = datetime.datetime.now()
+
+    time.sleep(1)
+
+    trx.Launcher(
         workers_per_host=num_workers,
         backend="gloo",
+    ).run(
+        dist_func,
     )
 
-    log_files = next(os.walk(tmp), (None, None, []))[2]
+    after_timestamp = datetime.datetime.now()
+
+    log_dirs = next(os.walk(tmp), (None, [], None))[1]
+
+    assert len(log_dirs) == 1
+
+    # this should error if mis-formatted
+    log_timestamp = datetime.datetime.fromisoformat(log_dirs[0])
+
+    assert before_timestamp <= log_timestamp <= after_timestamp
+
+    log_files = next(os.walk(f"{tmp}/{log_dirs[0]}"), (None, None, []))[2]
 
     assert len(log_files) == num_workers + 1
 
     for file in log_files:
-        with Path(f"{tmp}/{file}").open() as f:
+        with Path(f"{tmp}/{log_dirs[0]}/{file}").open() as f:
             contents = f.read()
             print(contents)
             if file.endswith("[0].log"):
@@ -80,11 +95,11 @@ def error_func() -> NoReturn:
     os.environ["TORCHRUNX_DIR"] = tmp
 
     with pytest.raises(ValueError) as excinfo:  # noqa: PT011
-        trx.launch(
-            func=error_func,
-            func_kwargs={},
+        trx.Launcher(
             workers_per_host=1,
             backend="gloo",
+        ).run(
+            error_func,
         )
 
     assert "abcdefg" in str(excinfo.value)
diff --git a/tests/test_func.py b/tests/test_func.py
index 7b3ad7f6..5ea61d53 100644
--- a/tests/test_func.py
+++ b/tests/test_func.py
@@ -1,4 +1,6 @@
 import os
+from functools import reduce
+from operator import add
 
 import torch
 import torch.distributed as dist
@@ -7,13 +9,9 @@
 
 
 def test_launch() -> None:
-    result = trx.launch(
-        func=simple_matmul,
-        hostnames="slurm",
-        workers_per_host="slurm",
-    )
+    result = trx.Launcher(hostnames="slurm").run(simple_matmul)
 
-    result_values = result.by_ranks()
+    result_values = reduce(add, result.results.values())
 
     t = True
     for i in range(len(result_values)):
diff --git a/tests/test_submitit.py b/tests/test_submitit.py
index b3c3b48c..75a91f19 100644
--- a/tests/test_submitit.py
+++ b/tests/test_submitit.py
@@ -53,7 +53,7 @@ def main() -> None:
 
 
 def launch() -> None:
-    trx.launch(func=main, func_kwargs={}, hostnames="slurm", workers_per_host="slurm")
+    trx.Launcher(hostnames="slurm").run(main)
 
 
 def test_submitit() -> None:
diff --git a/tests/test_train_gpu.py b/tests/test_train_gpu.py
index e1cbad3b..6be44c04 100644
--- a/tests/test_train_gpu.py
+++ b/tests/test_train_gpu.py
@@ -32,10 +32,9 @@ def worker() -> None:
 
 
 def test_distributed_train() -> None:
-    trx.launch(
-        worker,
+    trx.Launcher(
         backend="nccl",
-    )
+    ).run(worker)
 
 
 if __name__ == "__main__":
diff --git a/uv.lock b/uv.lock
index 07108f62..13fe003e 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,76 +1,141 @@
 version = 1
+revision = 1
 requires-python = ">=3.9"
 resolution-markers = [
-    "python_full_version < '3.12'",
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
+    "python_full_version >= '3.10' and python_full_version < '3.12'",
+    "python_full_version < '3.10'",
 ]
 
 [[package]]
-name = "backports-tarfile"
-version = "1.2.0"
+name = "alabaster"
+version = "0.7.16"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406 }
+sdist = { url = "https://files.pythonhosted.org/packages/c9/3e/13dd8e5ed9094e734ac430b5d0eb4f2bb001708a8b7856cbf8e084e001ba/alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65", size = 23776 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181 },
+    { url = "https://files.pythonhosted.org/packages/32/34/d4e1c02d3bee589efb5dfa17f88ea08bdb3e3eac12bc475462aec52ed223/alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92", size = 13511 },
+]
+
+[[package]]
+name = "apeye"
+version = "1.4.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "apeye-core" },
+    { name = "domdf-python-tools" },
+    { name = "platformdirs" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/4f/6b/cc65e31843d7bfda8313a9dc0c77a21e8580b782adca53c7cb3e511fe023/apeye-1.4.1.tar.gz", hash = "sha256:14ea542fad689e3bfdbda2189a354a4908e90aee4bf84c15ab75d68453d76a36", size = 99219 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/89/7b/2d63664777b3e831ac1b1d8df5bbf0b7c8bee48e57115896080890527b1b/apeye-1.4.1-py3-none-any.whl", hash = "sha256:44e58a9104ec189bf42e76b3a7fe91e2b2879d96d48e9a77e5e32ff699c9204e", size = 107989 },
+]
+
+[[package]]
+name = "apeye-core"
+version = "1.1.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "domdf-python-tools" },
+    { name = "idna" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e5/4c/4f108cfd06923bd897bf992a6ecb6fb122646ee7af94d7f9a64abd071d4c/apeye_core-1.1.5.tar.gz", hash = "sha256:5de72ed3d00cc9b20fea55e54b7ab8f5ef8500eb33a5368bc162a5585e238a55", size = 96511 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/9f/fa9971d2a0c6fef64c87ba362a493a4f230eff4ea8dfb9f4c7cbdf71892e/apeye_core-1.1.5-py3-none-any.whl", hash = "sha256:dc27a93f8c9e246b3b238c5ea51edf6115ab2618ef029b9f2d9a190ec8228fbf", size = 99286 },
+]
+
+[[package]]
+name = "autodocsumm"
+version = "0.2.14"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/03/96/92afe8a7912b327c01f0a8b6408c9556ee13b1aba5b98d587ac7327ff32d/autodocsumm-0.2.14.tar.gz", hash = "sha256:2839a9d4facc3c4eccd306c08695540911042b46eeafcdc3203e6d0bab40bc77", size = 46357 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/bc/3f66af9beb683728e06ca08797e4e9d3e44f432f339718cae3ba856a9cad/autodocsumm-0.2.14-py3-none-any.whl", hash = "sha256:3bad8717fc5190802c60392a7ab04b9f3c97aa9efa8b3780b3d81d615bfe5dc0", size = 14640 },
+]
+
+[[package]]
+name = "babel"
+version = "2.16.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2a/74/f1bc80f23eeba13393b7222b11d95ca3af2c1e28edca18af487137eefed9/babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316", size = 9348104 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ed/20/bc79bc575ba2e2a7f70e8a1155618bb1301eaa5132a8271373a6903f73f8/babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b", size = 9587599 },
 ]
 
 [[package]]
 name = "bcrypt"
-version = "4.2.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e4/7e/d95e7d96d4828e965891af92e43b52a4cd3395dc1c1ef4ee62748d0471d0/bcrypt-4.2.0.tar.gz", hash = "sha256:cf69eaf5185fd58f268f805b505ce31f9b9fc2d64b376642164e9244540c1221", size = 24294 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/a9/81/4e8f5bc0cd947e91fb720e1737371922854da47a94bc9630454e7b2845f8/bcrypt-4.2.0-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:096a15d26ed6ce37a14c1ac1e48119660f21b24cba457f160a4b830f3fe6b5cb", size = 471568 },
-    { url = "https://files.pythonhosted.org/packages/05/d2/1be1e16aedec04bcf8d0156e01b987d16a2063d38e64c3f28030a3427d61/bcrypt-4.2.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c02d944ca89d9b1922ceb8a46460dd17df1ba37ab66feac4870f6862a1533c00", size = 277372 },
-    { url = "https://files.pythonhosted.org/packages/e3/96/7a654027638ad9b7589effb6db77eb63eba64319dfeaf9c0f4ca953e5f76/bcrypt-4.2.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d84cf6d877918620b687b8fd1bf7781d11e8a0998f576c7aa939776b512b98d", size = 273488 },
-    { url = "https://files.pythonhosted.org/packages/46/54/dc7b58abeb4a3d95bab653405935e27ba32f21b812d8ff38f271fb6f7f55/bcrypt-4.2.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:1bb429fedbe0249465cdd85a58e8376f31bb315e484f16e68ca4c786dcc04291", size = 277759 },
-    { url = "https://files.pythonhosted.org/packages/ac/be/da233c5f11fce3f8adec05e8e532b299b64833cc962f49331cdd0e614fa9/bcrypt-4.2.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:655ea221910bcac76ea08aaa76df427ef8625f92e55a8ee44fbf7753dbabb328", size = 273796 },
-    { url = "https://files.pythonhosted.org/packages/b0/b8/8b4add88d55a263cf1c6b8cf66c735280954a04223fcd2880120cc767ac3/bcrypt-4.2.0-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:1ee38e858bf5d0287c39b7a1fc59eec64bbf880c7d504d3a06a96c16e14058e7", size = 311082 },
-    { url = "https://files.pythonhosted.org/packages/7b/76/2aa660679abbdc7f8ee961552e4bb6415a81b303e55e9374533f22770203/bcrypt-4.2.0-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:0da52759f7f30e83f1e30a888d9163a81353ef224d82dc58eb5bb52efcabc399", size = 305912 },
-    { url = "https://files.pythonhosted.org/packages/00/03/2af7c45034aba6002d4f2b728c1a385676b4eab7d764410e34fd768009f2/bcrypt-4.2.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3698393a1b1f1fd5714524193849d0c6d524d33523acca37cd28f02899285060", size = 325185 },
-    { url = "https://files.pythonhosted.org/packages/dc/5d/6843443ce4ab3af40bddb6c7c085ed4a8418b3396f7a17e60e6d9888416c/bcrypt-4.2.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:762a2c5fb35f89606a9fde5e51392dad0cd1ab7ae64149a8b935fe8d79dd5ed7", size = 335188 },
-    { url = "https://files.pythonhosted.org/packages/cb/4c/ff8ca83d816052fba36def1d24e97d9a85739b9bbf428c0d0ecd296a07c8/bcrypt-4.2.0-cp37-abi3-win32.whl", hash = "sha256:5a1e8aa9b28ae28020a3ac4b053117fb51c57a010b9f969603ed885f23841458", size = 156481 },
-    { url = "https://files.pythonhosted.org/packages/65/f1/e09626c88a56cda488810fb29d5035f1662873777ed337880856b9d204ae/bcrypt-4.2.0-cp37-abi3-win_amd64.whl", hash = "sha256:8f6ede91359e5df88d1f5c1ef47428a4420136f3ce97763e31b86dd8280fbdf5", size = 151336 },
-    { url = "https://files.pythonhosted.org/packages/96/86/8c6a84daed4dd878fbab094400c9174c43d9b838ace077a2f8ee8bc3ae12/bcrypt-4.2.0-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:c52aac18ea1f4a4f65963ea4f9530c306b56ccd0c6f8c8da0c06976e34a6e841", size = 472414 },
-    { url = "https://files.pythonhosted.org/packages/f6/05/e394515f4e23c17662e5aeb4d1859b11dc651be01a3bd03c2e919a155901/bcrypt-4.2.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3bbbfb2734f0e4f37c5136130405332640a1e46e6b23e000eeff2ba8d005da68", size = 277599 },
-    { url = "https://files.pythonhosted.org/packages/4b/3b/ad784eac415937c53da48983756105d267b91e56aa53ba8a1b2014b8d930/bcrypt-4.2.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3413bd60460f76097ee2e0a493ccebe4a7601918219c02f503984f0a7ee0aebe", size = 273491 },
-    { url = "https://files.pythonhosted.org/packages/cc/14/b9ff8e0218bee95e517b70e91130effb4511e8827ac1ab00b4e30943a3f6/bcrypt-4.2.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:8d7bb9c42801035e61c109c345a28ed7e84426ae4865511eb82e913df18f58c2", size = 277934 },
-    { url = "https://files.pythonhosted.org/packages/3e/d0/31938bb697600a04864246acde4918c4190a938f891fd11883eaaf41327a/bcrypt-4.2.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3d3a6d28cb2305b43feac298774b997e372e56c7c7afd90a12b3dc49b189151c", size = 273804 },
-    { url = "https://files.pythonhosted.org/packages/e7/c3/dae866739989e3f04ae304e1201932571708cb292a28b2f1b93283e2dcd8/bcrypt-4.2.0-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:9c1c4ad86351339c5f320ca372dfba6cb6beb25e8efc659bedd918d921956bae", size = 311275 },
-    { url = "https://files.pythonhosted.org/packages/5d/2c/019bc2c63c6125ddf0483ee7d914a405860327767d437913942b476e9c9b/bcrypt-4.2.0-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:27fe0f57bb5573104b5a6de5e4153c60814c711b29364c10a75a54bb6d7ff48d", size = 306355 },
-    { url = "https://files.pythonhosted.org/packages/75/fe/9e137727f122bbe29771d56afbf4e0dbc85968caa8957806f86404a5bfe1/bcrypt-4.2.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:8ac68872c82f1add6a20bd489870c71b00ebacd2e9134a8aa3f98a0052ab4b0e", size = 325381 },
-    { url = "https://files.pythonhosted.org/packages/1a/d4/586b9c18a327561ea4cd336ff4586cca1a7aa0f5ee04e23a8a8bb9ca64f1/bcrypt-4.2.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:cb2a8ec2bc07d3553ccebf0746bbf3d19426d1c6d1adbd4fa48925f66af7b9e8", size = 335685 },
-    { url = "https://files.pythonhosted.org/packages/24/55/1a7127faf4576138bb278b91e9c75307490178979d69c8e6e273f74b974f/bcrypt-4.2.0-cp39-abi3-win32.whl", hash = "sha256:77800b7147c9dc905db1cba26abe31e504d8247ac73580b4aa179f98e6608f34", size = 155857 },
-    { url = "https://files.pythonhosted.org/packages/1c/2a/c74052e54162ec639266d91539cca7cbf3d1d3b8b36afbfeaee0ea6a1702/bcrypt-4.2.0-cp39-abi3-win_amd64.whl", hash = "sha256:61ed14326ee023917ecd093ee6ef422a72f3aec6f07e21ea5f10622b735538a9", size = 151717 },
-    { url = "https://files.pythonhosted.org/packages/09/97/01026e7b1b7f8aeb41514408eca1137c0f8aef9938335e3bc713f82c282e/bcrypt-4.2.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:39e1d30c7233cfc54f5c3f2c825156fe044efdd3e0b9d309512cc514a263ec2a", size = 275924 },
-    { url = "https://files.pythonhosted.org/packages/ca/46/03eb26ea3e9c12ca18d1f3bf06199f7d72ce52e68f2a1ebcfd8acff9c472/bcrypt-4.2.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f4f4acf526fcd1c34e7ce851147deedd4e26e6402369304220250598b26448db", size = 272242 },
-    { url = "https://files.pythonhosted.org/packages/73/5a/811c3c7af3be99888f39ee8845ddf849d2a03a83049d63ece5dfb4612f4d/bcrypt-4.2.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:1ff39b78a52cf03fdf902635e4c81e544714861ba3f0efc56558979dd4f09170", size = 278107 },
-    { url = "https://files.pythonhosted.org/packages/8b/79/76a139d1b9f11aa4afcb7ceb882d2e81003667681711f2fe8a302c4c10ca/bcrypt-4.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:373db9abe198e8e2c70d12b479464e0d5092cc122b20ec504097b5f2297ed184", size = 274081 },
-]
-
-[[package]]
-name = "build"
-version = "1.2.2.post1"
+version = "4.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/56/8c/dd696962612e4cd83c40a9e6b3db77bfe65a830f4b9af44098708584686c/bcrypt-4.2.1.tar.gz", hash = "sha256:6765386e3ab87f569b276988742039baab087b2cdb01e809d74e74503c2faafe", size = 24427 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/bc/ca/e17b08c523adb93d5f07a226b2bd45a7c6e96b359e31c1e99f9db58cb8c3/bcrypt-4.2.1-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:1340411a0894b7d3ef562fb233e4b6ed58add185228650942bdc885362f32c17", size = 489982 },
+    { url = "https://files.pythonhosted.org/packages/6a/be/e7c6e0fd6087ee8fc6d77d8d9e817e9339d879737509019b9a9012a1d96f/bcrypt-4.2.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ee315739bc8387aa36ff127afc99120ee452924e0df517a8f3e4c0187a0f5f", size = 273108 },
+    { url = "https://files.pythonhosted.org/packages/d6/53/ac084b7d985aee1a5f2b086d501f550862596dbf73220663b8c17427e7f2/bcrypt-4.2.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8dbd0747208912b1e4ce730c6725cb56c07ac734b3629b60d4398f082ea718ad", size = 278733 },
+    { url = "https://files.pythonhosted.org/packages/8e/ab/b8710a3d6231c587e575ead0b1c45bb99f5454f9f579c9d7312c17b069cc/bcrypt-4.2.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:aaa2e285be097050dba798d537b6efd9b698aa88eef52ec98d23dcd6d7cf6fea", size = 273856 },
+    { url = "https://files.pythonhosted.org/packages/9d/e5/2fd1ea6395358ffdfd4afe370d5b52f71408f618f781772a48971ef3b92b/bcrypt-4.2.1-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:76d3e352b32f4eeb34703370e370997065d28a561e4a18afe4fef07249cb4396", size = 279067 },
+    { url = "https://files.pythonhosted.org/packages/4e/ef/f2cb7a0f7e1ed800a604f8ab256fb0afcf03c1540ad94ff771ce31e794aa/bcrypt-4.2.1-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:b7703ede632dc945ed1172d6f24e9f30f27b1b1a067f32f68bf169c5f08d0425", size = 306851 },
+    { url = "https://files.pythonhosted.org/packages/de/cb/578b0023c6a5ca16a177b9044ba6bd6032277bd3ef020fb863eccd22e49b/bcrypt-4.2.1-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:89df2aea2c43be1e1fa066df5f86c8ce822ab70a30e4c210968669565c0f4685", size = 310793 },
+    { url = "https://files.pythonhosted.org/packages/98/bc/9d501ee9d754f63d4b1086b64756c284facc3696de9b556c146279a124a5/bcrypt-4.2.1-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:04e56e3fe8308a88b77e0afd20bec516f74aecf391cdd6e374f15cbed32783d6", size = 320957 },
+    { url = "https://files.pythonhosted.org/packages/a1/25/2ec4ce5740abc43182bfc064b9acbbf5a493991246985e8b2bfe231ead64/bcrypt-4.2.1-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:cfdf3d7530c790432046c40cda41dfee8c83e29482e6a604f8930b9930e94139", size = 339958 },
+    { url = "https://files.pythonhosted.org/packages/6d/64/fd67788f64817727897d31e9cdeeeba3941eaad8540733c05c7eac4aa998/bcrypt-4.2.1-cp37-abi3-win32.whl", hash = "sha256:adadd36274510a01f33e6dc08f5824b97c9580583bd4487c564fc4617b328005", size = 160912 },
+    { url = "https://files.pythonhosted.org/packages/00/8f/fe834eaa54abbd7cab8607e5020fa3a0557e929555b9e4ca404b4adaab06/bcrypt-4.2.1-cp37-abi3-win_amd64.whl", hash = "sha256:8c458cd103e6c5d1d85cf600e546a639f234964d0228909d8f8dbeebff82d526", size = 152981 },
+    { url = "https://files.pythonhosted.org/packages/4a/57/23b46933206daf5384b5397d9878746d2249fe9d45efaa8e1467c87d3048/bcrypt-4.2.1-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:8ad2f4528cbf0febe80e5a3a57d7a74e6635e41af1ea5675282a33d769fba413", size = 489842 },
+    { url = "https://files.pythonhosted.org/packages/fd/28/3ea8a39ddd4938b6c6b6136816d72ba5e659e2d82b53d843c8c53455ac4d/bcrypt-4.2.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:909faa1027900f2252a9ca5dfebd25fc0ef1417943824783d1c8418dd7d6df4a", size = 272500 },
+    { url = "https://files.pythonhosted.org/packages/77/7f/b43622999f5d4de06237a195ac5501ac83516adf571b907228cd14bac8fe/bcrypt-4.2.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cde78d385d5e93ece5479a0a87f73cd6fa26b171c786a884f955e165032b262c", size = 278368 },
+    { url = "https://files.pythonhosted.org/packages/50/68/f2e3959014b4d8874c747e6e171d46d3e63a3a39aaca8417a8d837eda0a8/bcrypt-4.2.1-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:533e7f3bcf2f07caee7ad98124fab7499cb3333ba2274f7a36cf1daee7409d99", size = 273335 },
+    { url = "https://files.pythonhosted.org/packages/d6/c3/4b4bad4da852924427c651589d464ad1aa624f94dd904ddda8493b0a35e5/bcrypt-4.2.1-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:687cf30e6681eeda39548a93ce9bfbb300e48b4d445a43db4298d2474d2a1e54", size = 278614 },
+    { url = "https://files.pythonhosted.org/packages/6e/5a/ee107961e84c41af2ac201d0460f962b6622ff391255ffd46429e9e09dc1/bcrypt-4.2.1-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:041fa0155c9004eb98a232d54da05c0b41d4b8e66b6fc3cb71b4b3f6144ba837", size = 306464 },
+    { url = "https://files.pythonhosted.org/packages/5c/72/916e14fa12d2b1d1fc6c26ea195337419da6dd23d0bf53ac61ef3739e5c5/bcrypt-4.2.1-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f85b1ffa09240c89aa2e1ae9f3b1c687104f7b2b9d2098da4e923f1b7082d331", size = 310674 },
+    { url = "https://files.pythonhosted.org/packages/97/92/3dc76d8bfa23300591eec248e950f85bd78eb608c96bd4747ce4cc06acdb/bcrypt-4.2.1-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c6f5fa3775966cca251848d4d5393ab016b3afed251163c1436fefdec3b02c84", size = 320577 },
+    { url = "https://files.pythonhosted.org/packages/5d/ab/a6c0da5c2cf86600f74402a72b06dfe365e1a1d30783b1bbeec460fd57d1/bcrypt-4.2.1-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:807261df60a8b1ccd13e6599c779014a362ae4e795f5c59747f60208daddd96d", size = 339836 },
+    { url = "https://files.pythonhosted.org/packages/b4/b4/e75b6e9a72a030a04362034022ebe317c5b735d04db6ad79237101ae4a5c/bcrypt-4.2.1-cp39-abi3-win32.whl", hash = "sha256:b588af02b89d9fad33e5f98f7838bf590d6d692df7153647724a7f20c186f6bf", size = 160911 },
+    { url = "https://files.pythonhosted.org/packages/76/b9/d51d34e6cd6d887adddb28a8680a1d34235cc45b9d6e238ce39b98199ca0/bcrypt-4.2.1-cp39-abi3-win_amd64.whl", hash = "sha256:e84e0e6f8e40a242b11bce56c313edc2be121cec3e0ec2d76fce01f6af33c07c", size = 153078 },
+    { url = "https://files.pythonhosted.org/packages/4e/6e/7193067042de23af3d71882f898c8c0bd2b18e6ee44a4f76e395dfadb5a8/bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76132c176a6d9953cdc83c296aeaed65e1a708485fd55abf163e0d9f8f16ce0e", size = 270069 },
+    { url = "https://files.pythonhosted.org/packages/3b/05/2546085c6dc07a45627460a39e6291b82382b434fff2bd0167ff3bc31eb1/bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e158009a54c4c8bc91d5e0da80920d048f918c61a581f0a63e4e93bb556d362f", size = 274652 },
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.13.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "os_name == 'nt'" },
-    { name = "importlib-metadata", marker = "python_full_version < '3.10.2'" },
-    { name = "packaging" },
-    { name = "pyproject-hooks" },
-    { name = "tomli", marker = "python_full_version < '3.11'" },
+    { name = "soupsieve" },
+    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/7d/46/aeab111f8e06793e4f0e421fcad593d547fb8313b50990f31681ee2fb1ad/build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7", size = 46701 }
+sdist = { url = "https://files.pythonhosted.org/packages/f0/3c/adaf39ce1fb4afdd21b611e3d530b183bb7759c9b673d60db0e347fd4439/beautifulsoup4-4.13.3.tar.gz", hash = "sha256:1bd32405dacc920b42b83ba01644747ed77456a65760e285fbc47633ceddaf8b", size = 619516 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/84/c2/80633736cd183ee4a62107413def345f7e6e3c01563dbca1417363cf957e/build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5", size = 22950 },
+    { url = "https://files.pythonhosted.org/packages/f9/49/6abb616eb3cbab6a7cca303dc02fdf3836de2e0b834bf966a7f5271a34d8/beautifulsoup4-4.13.3-py3-none-any.whl", hash = "sha256:99045d7d3f08f91f0d656bc9b7efbae189426cd913d830294a15eefa0ea4df16", size = 186015 },
+]
+
+[[package]]
+name = "cachecontrol"
+version = "0.14.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "msgpack" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b7/a4/3390ac4dfa1773f661c8780368018230e8207ec4fd3800d2c0c3adee4456/cachecontrol-0.14.2.tar.gz", hash = "sha256:7d47d19f866409b98ff6025b6a0fca8e4c791fb31abbd95f622093894ce903a2", size = 28832 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c8/63/baffb44ca6876e7b5fc8fe17b24a7c07bf479d604a592182db9af26ea366/cachecontrol-0.14.2-py3-none-any.whl", hash = "sha256:ebad2091bf12d0d200dfc2464330db638c5deb41d546f6d7aca079e87290f3b0", size = 21780 },
+]
+
+[package.optional-dependencies]
+filecache = [
+    { name = "filelock" },
 ]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2025.1.31"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/b0/ee/9b19140fe824b367c04c5e1b369942dd754c4c5462d5674002f75c4dedc1/certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9", size = 168507 }
+sdist = { url = "https://files.pythonhosted.org/packages/1c/ab/c9f1e32b7b1bf505bf26f0ef697775960db7932abeb7b516de930ba2705f/certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651", size = 167577 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/12/90/3c9ff0512038035f59d279fddeb79f5f1eccd8859f06d6163c58798b9487/certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8", size = 167321 },
+    { url = "https://files.pythonhosted.org/packages/38/fc/bce832fd4fd99766c04d1ee0eead6b0ec6486fb100ae5e74c1d91292b982/certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe", size = 166393 },
 ]
 
 [[package]]
@@ -144,95 +209,85 @@ wheels = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/f2/4f/e1808dc01273379acc506d18f1504eb2d299bd4131743b9fc54d7be4df1e/charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e", size = 106620 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/69/8b/825cc84cf13a28bfbcba7c416ec22bf85a9584971be15b21dd8300c65b7f/charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6", size = 196363 },
-    { url = "https://files.pythonhosted.org/packages/23/81/d7eef6a99e42c77f444fdd7bc894b0ceca6c3a95c51239e74a722039521c/charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b", size = 125639 },
-    { url = "https://files.pythonhosted.org/packages/21/67/b4564d81f48042f520c948abac7079356e94b30cb8ffb22e747532cf469d/charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99", size = 120451 },
-    { url = "https://files.pythonhosted.org/packages/c2/72/12a7f0943dd71fb5b4e7b55c41327ac0a1663046a868ee4d0d8e9c369b85/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca", size = 140041 },
-    { url = "https://files.pythonhosted.org/packages/67/56/fa28c2c3e31217c4c52158537a2cf5d98a6c1e89d31faf476c89391cd16b/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d", size = 150333 },
-    { url = "https://files.pythonhosted.org/packages/f9/d2/466a9be1f32d89eb1554cf84073a5ed9262047acee1ab39cbaefc19635d2/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7", size = 142921 },
-    { url = "https://files.pythonhosted.org/packages/f8/01/344ec40cf5d85c1da3c1f57566c59e0c9b56bcc5566c08804a95a6cc8257/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3", size = 144785 },
-    { url = "https://files.pythonhosted.org/packages/73/8b/2102692cb6d7e9f03b9a33a710e0164cadfce312872e3efc7cfe22ed26b4/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907", size = 146631 },
-    { url = "https://files.pythonhosted.org/packages/d8/96/cc2c1b5d994119ce9f088a9a0c3ebd489d360a2eb058e2c8049f27092847/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b", size = 140867 },
-    { url = "https://files.pythonhosted.org/packages/c9/27/cde291783715b8ec30a61c810d0120411844bc4c23b50189b81188b273db/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912", size = 149273 },
-    { url = "https://files.pythonhosted.org/packages/3a/a4/8633b0fc1a2d1834d5393dafecce4a1cc56727bfd82b4dc18fc92f0d3cc3/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95", size = 152437 },
-    { url = "https://files.pythonhosted.org/packages/64/ea/69af161062166b5975ccbb0961fd2384853190c70786f288684490913bf5/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e", size = 150087 },
-    { url = "https://files.pythonhosted.org/packages/3b/fd/e60a9d9fd967f4ad5a92810138192f825d77b4fa2a557990fd575a47695b/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe", size = 145142 },
-    { url = "https://files.pythonhosted.org/packages/6d/02/8cb0988a1e49ac9ce2eed1e07b77ff118f2923e9ebd0ede41ba85f2dcb04/charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc", size = 94701 },
-    { url = "https://files.pythonhosted.org/packages/d6/20/f1d4670a8a723c46be695dff449d86d6092916f9e99c53051954ee33a1bc/charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749", size = 102191 },
-    { url = "https://files.pythonhosted.org/packages/9c/61/73589dcc7a719582bf56aae309b6103d2762b526bffe189d635a7fcfd998/charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c", size = 193339 },
-    { url = "https://files.pythonhosted.org/packages/77/d5/8c982d58144de49f59571f940e329ad6e8615e1e82ef84584c5eeb5e1d72/charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944", size = 124366 },
-    { url = "https://files.pythonhosted.org/packages/bf/19/411a64f01ee971bed3231111b69eb56f9331a769072de479eae7de52296d/charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee", size = 118874 },
-    { url = "https://files.pythonhosted.org/packages/4c/92/97509850f0d00e9f14a46bc751daabd0ad7765cff29cdfb66c68b6dad57f/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c", size = 138243 },
-    { url = "https://files.pythonhosted.org/packages/e2/29/d227805bff72ed6d6cb1ce08eec707f7cfbd9868044893617eb331f16295/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6", size = 148676 },
-    { url = "https://files.pythonhosted.org/packages/13/bc/87c2c9f2c144bedfa62f894c3007cd4530ba4b5351acb10dc786428a50f0/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea", size = 141289 },
-    { url = "https://files.pythonhosted.org/packages/eb/5b/6f10bad0f6461fa272bfbbdf5d0023b5fb9bc6217c92bf068fa5a99820f5/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc", size = 142585 },
-    { url = "https://files.pythonhosted.org/packages/3b/a0/a68980ab8a1f45a36d9745d35049c1af57d27255eff8c907e3add84cf68f/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5", size = 144408 },
-    { url = "https://files.pythonhosted.org/packages/d7/a1/493919799446464ed0299c8eef3c3fad0daf1c3cd48bff9263c731b0d9e2/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594", size = 139076 },
-    { url = "https://files.pythonhosted.org/packages/fb/9d/9c13753a5a6e0db4a0a6edb1cef7aee39859177b64e1a1e748a6e3ba62c2/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c", size = 146874 },
-    { url = "https://files.pythonhosted.org/packages/75/d2/0ab54463d3410709c09266dfb416d032a08f97fd7d60e94b8c6ef54ae14b/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365", size = 150871 },
-    { url = "https://files.pythonhosted.org/packages/8d/c9/27e41d481557be53d51e60750b85aa40eaf52b841946b3cdeff363105737/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129", size = 148546 },
-    { url = "https://files.pythonhosted.org/packages/ee/44/4f62042ca8cdc0cabf87c0fc00ae27cd8b53ab68be3605ba6d071f742ad3/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236", size = 143048 },
-    { url = "https://files.pythonhosted.org/packages/01/f8/38842422988b795220eb8038745d27a675ce066e2ada79516c118f291f07/charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99", size = 94389 },
-    { url = "https://files.pythonhosted.org/packages/0b/6e/b13bd47fa9023b3699e94abf565b5a2f0b0be6e9ddac9812182596ee62e4/charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27", size = 101752 },
-    { url = "https://files.pythonhosted.org/packages/d3/0b/4b7a70987abf9b8196845806198975b6aab4ce016632f817ad758a5aa056/charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6", size = 194445 },
-    { url = "https://files.pythonhosted.org/packages/50/89/354cc56cf4dd2449715bc9a0f54f3aef3dc700d2d62d1fa5bbea53b13426/charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf", size = 125275 },
-    { url = "https://files.pythonhosted.org/packages/fa/44/b730e2a2580110ced837ac083d8ad222343c96bb6b66e9e4e706e4d0b6df/charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db", size = 119020 },
-    { url = "https://files.pythonhosted.org/packages/9d/e4/9263b8240ed9472a2ae7ddc3e516e71ef46617fe40eaa51221ccd4ad9a27/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1", size = 139128 },
-    { url = "https://files.pythonhosted.org/packages/6b/e3/9f73e779315a54334240353eaea75854a9a690f3f580e4bd85d977cb2204/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03", size = 149277 },
-    { url = "https://files.pythonhosted.org/packages/1a/cf/f1f50c2f295312edb8a548d3fa56a5c923b146cd3f24114d5adb7e7be558/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284", size = 142174 },
-    { url = "https://files.pythonhosted.org/packages/16/92/92a76dc2ff3a12e69ba94e7e05168d37d0345fa08c87e1fe24d0c2a42223/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15", size = 143838 },
-    { url = "https://files.pythonhosted.org/packages/a4/01/2117ff2b1dfc61695daf2babe4a874bca328489afa85952440b59819e9d7/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8", size = 146149 },
-    { url = "https://files.pythonhosted.org/packages/f6/9b/93a332b8d25b347f6839ca0a61b7f0287b0930216994e8bf67a75d050255/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6b40e8d38afe634559e398cc32b1472f376a4099c75fe6299ae607e404c033b2", size = 140043 },
-    { url = "https://files.pythonhosted.org/packages/ab/f6/7ac4a01adcdecbc7a7587767c776d53d369b8b971382b91211489535acf0/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b8dcd239c743aa2f9c22ce674a145e0a25cb1566c495928440a181ca1ccf6719", size = 148229 },
-    { url = "https://files.pythonhosted.org/packages/9d/be/5708ad18161dee7dc6a0f7e6cf3a88ea6279c3e8484844c0590e50e803ef/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:84450ba661fb96e9fd67629b93d2941c871ca86fc38d835d19d4225ff946a631", size = 151556 },
-    { url = "https://files.pythonhosted.org/packages/5a/bb/3d8bc22bacb9eb89785e83e6723f9888265f3a0de3b9ce724d66bd49884e/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:44aeb140295a2f0659e113b31cfe92c9061622cadbc9e2a2f7b8ef6b1e29ef4b", size = 149772 },
-    { url = "https://files.pythonhosted.org/packages/f7/fa/d3fc622de05a86f30beea5fc4e9ac46aead4731e73fd9055496732bcc0a4/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565", size = 144800 },
-    { url = "https://files.pythonhosted.org/packages/9a/65/bdb9bc496d7d190d725e96816e20e2ae3a6fa42a5cac99c3c3d6ff884118/charset_normalizer-3.4.0-cp312-cp312-win32.whl", hash = "sha256:5726cf76c982532c1863fb64d8c6dd0e4c90b6ece9feb06c9f202417a31f7dd7", size = 94836 },
-    { url = "https://files.pythonhosted.org/packages/3e/67/7b72b69d25b89c0b3cea583ee372c43aa24df15f0e0f8d3982c57804984b/charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:b197e7094f232959f8f20541ead1d9862ac5ebea1d58e9849c1bf979255dfac9", size = 102187 },
-    { url = "https://files.pythonhosted.org/packages/f3/89/68a4c86f1a0002810a27f12e9a7b22feb198c59b2f05231349fbce5c06f4/charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:dd4eda173a9fcccb5f2e2bd2a9f423d180194b1bf17cf59e3269899235b2a114", size = 194617 },
-    { url = "https://files.pythonhosted.org/packages/4f/cd/8947fe425e2ab0aa57aceb7807af13a0e4162cd21eee42ef5b053447edf5/charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9e3c4c9e1ed40ea53acf11e2a386383c3304212c965773704e4603d589343ed", size = 125310 },
-    { url = "https://files.pythonhosted.org/packages/5b/f0/b5263e8668a4ee9becc2b451ed909e9c27058337fda5b8c49588183c267a/charset_normalizer-3.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92a7e36b000bf022ef3dbb9c46bfe2d52c047d5e3f3343f43204263c5addc250", size = 119126 },
-    { url = "https://files.pythonhosted.org/packages/ff/6e/e445afe4f7fda27a533f3234b627b3e515a1b9429bc981c9a5e2aa5d97b6/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54b6a92d009cbe2fb11054ba694bc9e284dad30a26757b1e372a1fdddaf21920", size = 139342 },
-    { url = "https://files.pythonhosted.org/packages/a1/b2/4af9993b532d93270538ad4926c8e37dc29f2111c36f9c629840c57cd9b3/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ffd9493de4c922f2a38c2bf62b831dcec90ac673ed1ca182fe11b4d8e9f2a64", size = 149383 },
-    { url = "https://files.pythonhosted.org/packages/fb/6f/4e78c3b97686b871db9be6f31d64e9264e889f8c9d7ab33c771f847f79b7/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35c404d74c2926d0287fbd63ed5d27eb911eb9e4a3bb2c6d294f3cfd4a9e0c23", size = 142214 },
-    { url = "https://files.pythonhosted.org/packages/2b/c9/1c8fe3ce05d30c87eff498592c89015b19fade13df42850aafae09e94f35/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4796efc4faf6b53a18e3d46343535caed491776a22af773f366534056c4e1fbc", size = 144104 },
-    { url = "https://files.pythonhosted.org/packages/ee/68/efad5dcb306bf37db7db338338e7bb8ebd8cf38ee5bbd5ceaaaa46f257e6/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7fdd52961feb4c96507aa649550ec2a0d527c086d284749b2f582f2d40a2e0d", size = 146255 },
-    { url = "https://files.pythonhosted.org/packages/0c/75/1ed813c3ffd200b1f3e71121c95da3f79e6d2a96120163443b3ad1057505/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:92db3c28b5b2a273346bebb24857fda45601aef6ae1c011c0a997106581e8a88", size = 140251 },
-    { url = "https://files.pythonhosted.org/packages/7d/0d/6f32255c1979653b448d3c709583557a4d24ff97ac4f3a5be156b2e6a210/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ab973df98fc99ab39080bfb0eb3a925181454d7c3ac8a1e695fddfae696d9e90", size = 148474 },
-    { url = "https://files.pythonhosted.org/packages/ac/a0/c1b5298de4670d997101fef95b97ac440e8c8d8b4efa5a4d1ef44af82f0d/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4b67fdab07fdd3c10bb21edab3cbfe8cf5696f453afce75d815d9d7223fbe88b", size = 151849 },
-    { url = "https://files.pythonhosted.org/packages/04/4f/b3961ba0c664989ba63e30595a3ed0875d6790ff26671e2aae2fdc28a399/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:aa41e526a5d4a9dfcfbab0716c7e8a1b215abd3f3df5a45cf18a12721d31cb5d", size = 149781 },
-    { url = "https://files.pythonhosted.org/packages/d8/90/6af4cd042066a4adad58ae25648a12c09c879efa4849c705719ba1b23d8c/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ffc519621dce0c767e96b9c53f09c5d215578e10b02c285809f76509a3931482", size = 144970 },
-    { url = "https://files.pythonhosted.org/packages/cc/67/e5e7e0cbfefc4ca79025238b43cdf8a2037854195b37d6417f3d0895c4c2/charset_normalizer-3.4.0-cp313-cp313-win32.whl", hash = "sha256:f19c1585933c82098c2a520f8ec1227f20e339e33aca8fa6f956f6691b784e67", size = 94973 },
-    { url = "https://files.pythonhosted.org/packages/65/97/fc9bbc54ee13d33dc54a7fcf17b26368b18505500fc01e228c27b5222d80/charset_normalizer-3.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:707b82d19e65c9bd28b81dde95249b07bf9f5b90ebe1ef17d9b57473f8a64b7b", size = 102308 },
-    { url = "https://files.pythonhosted.org/packages/54/2f/28659eee7f5d003e0f5a3b572765bf76d6e0fe6601ab1f1b1dd4cba7e4f1/charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:980b4f289d1d90ca5efcf07958d3eb38ed9c0b7676bf2831a54d4f66f9c27dfa", size = 196326 },
-    { url = "https://files.pythonhosted.org/packages/d1/18/92869d5c0057baa973a3ee2af71573be7b084b3c3d428fe6463ce71167f8/charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f28f891ccd15c514a0981f3b9db9aa23d62fe1a99997512b0491d2ed323d229a", size = 125614 },
-    { url = "https://files.pythonhosted.org/packages/d6/27/327904c5a54a7796bb9f36810ec4173d2df5d88b401d2b95ef53111d214e/charset_normalizer-3.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8aacce6e2e1edcb6ac625fb0f8c3a9570ccc7bfba1f63419b3769ccf6a00ed0", size = 120450 },
-    { url = "https://files.pythonhosted.org/packages/a4/23/65af317914a0308495133b2d654cf67b11bbd6ca16637c4e8a38f80a5a69/charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd7af3717683bea4c87acd8c0d3d5b44d56120b26fd3f8a692bdd2d5260c620a", size = 140135 },
-    { url = "https://files.pythonhosted.org/packages/f2/41/6190102ad521a8aa888519bb014a74251ac4586cde9b38e790901684f9ab/charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ff2ed8194587faf56555927b3aa10e6fb69d931e33953943bc4f837dfee2242", size = 150413 },
-    { url = "https://files.pythonhosted.org/packages/7b/ab/f47b0159a69eab9bd915591106859f49670c75f9a19082505ff16f50efc0/charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e91f541a85298cf35433bf66f3fab2a4a2cff05c127eeca4af174f6d497f0d4b", size = 142992 },
-    { url = "https://files.pythonhosted.org/packages/28/89/60f51ad71f63aaaa7e51a2a2ad37919985a341a1d267070f212cdf6c2d22/charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:309a7de0a0ff3040acaebb35ec45d18db4b28232f21998851cfa709eeff49d62", size = 144871 },
-    { url = "https://files.pythonhosted.org/packages/0c/48/0050550275fea585a6e24460b42465020b53375017d8596c96be57bfabca/charset_normalizer-3.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:285e96d9d53422efc0d7a17c60e59f37fbf3dfa942073f666db4ac71e8d726d0", size = 146756 },
-    { url = "https://files.pythonhosted.org/packages/dc/b5/47f8ee91455946f745e6c9ddbb0f8f50314d2416dd922b213e7d5551ad09/charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5d447056e2ca60382d460a604b6302d8db69476fd2015c81e7c35417cfabe4cd", size = 141034 },
-    { url = "https://files.pythonhosted.org/packages/84/79/5c731059ebab43e80bf61fa51666b9b18167974b82004f18c76378ed31a3/charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:20587d20f557fe189b7947d8e7ec5afa110ccf72a3128d61a2a387c3313f46be", size = 149434 },
-    { url = "https://files.pythonhosted.org/packages/ca/f3/0719cd09fc4dc42066f239cb3c48ced17fc3316afca3e2a30a4756fe49ab/charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d", size = 152443 },
-    { url = "https://files.pythonhosted.org/packages/f7/0e/c6357297f1157c8e8227ff337e93fd0a90e498e3d6ab96b2782204ecae48/charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:ab22fbd9765e6954bc0bcff24c25ff71dcbfdb185fcdaca49e81bac68fe724d3", size = 150294 },
-    { url = "https://files.pythonhosted.org/packages/54/9a/acfa96dc4ea8c928040b15822b59d0863d6e1757fba8bd7de3dc4f761c13/charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7782afc9b6b42200f7362858f9e73b1f8316afb276d316336c0ec3bd73312742", size = 145314 },
-    { url = "https://files.pythonhosted.org/packages/73/1c/b10a63032eaebb8d7bcb8544f12f063f41f5f463778ac61da15d9985e8b6/charset_normalizer-3.4.0-cp39-cp39-win32.whl", hash = "sha256:2de62e8801ddfff069cd5c504ce3bc9672b23266597d4e4f50eda28846c322f2", size = 94724 },
-    { url = "https://files.pythonhosted.org/packages/c5/77/3a78bf28bfaa0863f9cfef278dbeadf55efe064eafff8c7c424ae3c4c1bf/charset_normalizer-3.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:95c3c157765b031331dd4db3c775e58deaee050a3042fcad72cbc4189d7c8dca", size = 102159 },
-    { url = "https://files.pythonhosted.org/packages/bf/9b/08c0432272d77b04803958a4598a51e2a4b51c06640af8b8f0f908c18bf2/charset_normalizer-3.4.0-py3-none-any.whl", hash = "sha256:fe9f97feb71aa9896b81973a7bbada8c49501dc73e58a10fcef6663af95e5079", size = 49446 },
+version = "3.4.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/16/b0/572805e227f01586461c80e0fd25d65a2115599cc9dad142fee4b747c357/charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3", size = 123188 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0d/58/5580c1716040bc89206c77d8f74418caf82ce519aae06450393ca73475d1/charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de", size = 198013 },
+    { url = "https://files.pythonhosted.org/packages/d0/11/00341177ae71c6f5159a08168bcb98c6e6d196d372c94511f9f6c9afe0c6/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176", size = 141285 },
+    { url = "https://files.pythonhosted.org/packages/01/09/11d684ea5819e5a8f5100fb0b38cf8d02b514746607934134d31233e02c8/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037", size = 151449 },
+    { url = "https://files.pythonhosted.org/packages/08/06/9f5a12939db324d905dc1f70591ae7d7898d030d7662f0d426e2286f68c9/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f", size = 143892 },
+    { url = "https://files.pythonhosted.org/packages/93/62/5e89cdfe04584cb7f4d36003ffa2936681b03ecc0754f8e969c2becb7e24/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a", size = 146123 },
+    { url = "https://files.pythonhosted.org/packages/a9/ac/ab729a15c516da2ab70a05f8722ecfccc3f04ed7a18e45c75bbbaa347d61/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a", size = 147943 },
+    { url = "https://files.pythonhosted.org/packages/03/d2/3f392f23f042615689456e9a274640c1d2e5dd1d52de36ab8f7955f8f050/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d973f03c0cb71c5ed99037b870f2be986c3c05e63622c017ea9816881d2dd247", size = 142063 },
+    { url = "https://files.pythonhosted.org/packages/f2/e3/e20aae5e1039a2cd9b08d9205f52142329f887f8cf70da3650326670bddf/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3a3bd0dcd373514dcec91c411ddb9632c0d7d92aed7093b8c3bbb6d69ca74408", size = 150578 },
+    { url = "https://files.pythonhosted.org/packages/8d/af/779ad72a4da0aed925e1139d458adc486e61076d7ecdcc09e610ea8678db/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d9c3cdf5390dcd29aa8056d13e8e99526cda0305acc038b96b30352aff5ff2bb", size = 153629 },
+    { url = "https://files.pythonhosted.org/packages/c2/b6/7aa450b278e7aa92cf7732140bfd8be21f5f29d5bf334ae987c945276639/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:2bdfe3ac2e1bbe5b59a1a63721eb3b95fc9b6817ae4a46debbb4e11f6232428d", size = 150778 },
+    { url = "https://files.pythonhosted.org/packages/39/f4/d9f4f712d0951dcbfd42920d3db81b00dd23b6ab520419626f4023334056/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:eab677309cdb30d047996b36d34caeda1dc91149e4fdca0b1a039b3f79d9a807", size = 146453 },
+    { url = "https://files.pythonhosted.org/packages/49/2b/999d0314e4ee0cff3cb83e6bc9aeddd397eeed693edb4facb901eb8fbb69/charset_normalizer-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c0429126cf75e16c4f0ad00ee0eae4242dc652290f940152ca8c75c3a4b6ee8f", size = 95479 },
+    { url = "https://files.pythonhosted.org/packages/2d/ce/3cbed41cff67e455a386fb5e5dd8906cdda2ed92fbc6297921f2e4419309/charset_normalizer-3.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:9f0b8b1c6d84c8034a44893aba5e767bf9c7a211e313a9605d9c617d7083829f", size = 102790 },
+    { url = "https://files.pythonhosted.org/packages/72/80/41ef5d5a7935d2d3a773e3eaebf0a9350542f2cab4eac59a7a4741fbbbbe/charset_normalizer-3.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8bfa33f4f2672964266e940dd22a195989ba31669bd84629f05fab3ef4e2d125", size = 194995 },
+    { url = "https://files.pythonhosted.org/packages/7a/28/0b9fefa7b8b080ec492110af6d88aa3dea91c464b17d53474b6e9ba5d2c5/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28bf57629c75e810b6ae989f03c0828d64d6b26a5e205535585f96093e405ed1", size = 139471 },
+    { url = "https://files.pythonhosted.org/packages/71/64/d24ab1a997efb06402e3fc07317e94da358e2585165930d9d59ad45fcae2/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f08ff5e948271dc7e18a35641d2f11a4cd8dfd5634f55228b691e62b37125eb3", size = 149831 },
+    { url = "https://files.pythonhosted.org/packages/37/ed/be39e5258e198655240db5e19e0b11379163ad7070962d6b0c87ed2c4d39/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:234ac59ea147c59ee4da87a0c0f098e9c8d169f4dc2a159ef720f1a61bbe27cd", size = 142335 },
+    { url = "https://files.pythonhosted.org/packages/88/83/489e9504711fa05d8dde1574996408026bdbdbd938f23be67deebb5eca92/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd4ec41f914fa74ad1b8304bbc634b3de73d2a0889bd32076342a573e0779e00", size = 143862 },
+    { url = "https://files.pythonhosted.org/packages/c6/c7/32da20821cf387b759ad24627a9aca289d2822de929b8a41b6241767b461/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eea6ee1db730b3483adf394ea72f808b6e18cf3cb6454b4d86e04fa8c4327a12", size = 145673 },
+    { url = "https://files.pythonhosted.org/packages/68/85/f4288e96039abdd5aeb5c546fa20a37b50da71b5cf01e75e87f16cd43304/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c96836c97b1238e9c9e3fe90844c947d5afbf4f4c92762679acfe19927d81d77", size = 140211 },
+    { url = "https://files.pythonhosted.org/packages/28/a3/a42e70d03cbdabc18997baf4f0227c73591a08041c149e710045c281f97b/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4d86f7aff21ee58f26dcf5ae81a9addbd914115cdebcbb2217e4f0ed8982e146", size = 148039 },
+    { url = "https://files.pythonhosted.org/packages/85/e4/65699e8ab3014ecbe6f5c71d1a55d810fb716bbfd74f6283d5c2aa87febf/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:09b5e6733cbd160dcc09589227187e242a30a49ca5cefa5a7edd3f9d19ed53fd", size = 151939 },
+    { url = "https://files.pythonhosted.org/packages/b1/82/8e9fe624cc5374193de6860aba3ea8070f584c8565ee77c168ec13274bd2/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:5777ee0881f9499ed0f71cc82cf873d9a0ca8af166dfa0af8ec4e675b7df48e6", size = 149075 },
+    { url = "https://files.pythonhosted.org/packages/3d/7b/82865ba54c765560c8433f65e8acb9217cb839a9e32b42af4aa8e945870f/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:237bdbe6159cff53b4f24f397d43c6336c6b0b42affbe857970cefbb620911c8", size = 144340 },
+    { url = "https://files.pythonhosted.org/packages/b5/b6/9674a4b7d4d99a0d2df9b215da766ee682718f88055751e1e5e753c82db0/charset_normalizer-3.4.1-cp311-cp311-win32.whl", hash = "sha256:8417cb1f36cc0bc7eaba8ccb0e04d55f0ee52df06df3ad55259b9a323555fc8b", size = 95205 },
+    { url = "https://files.pythonhosted.org/packages/1e/ab/45b180e175de4402dcf7547e4fb617283bae54ce35c27930a6f35b6bef15/charset_normalizer-3.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:d7f50a1f8c450f3925cb367d011448c39239bb3eb4117c36a6d354794de4ce76", size = 102441 },
+    { url = "https://files.pythonhosted.org/packages/0a/9a/dd1e1cdceb841925b7798369a09279bd1cf183cef0f9ddf15a3a6502ee45/charset_normalizer-3.4.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:73d94b58ec7fecbc7366247d3b0b10a21681004153238750bb67bd9012414545", size = 196105 },
+    { url = "https://files.pythonhosted.org/packages/d3/8c/90bfabf8c4809ecb648f39794cf2a84ff2e7d2a6cf159fe68d9a26160467/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad3e487649f498dd991eeb901125411559b22e8d7ab25d3aeb1af367df5efd7", size = 140404 },
+    { url = "https://files.pythonhosted.org/packages/ad/8f/e410d57c721945ea3b4f1a04b74f70ce8fa800d393d72899f0a40526401f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c30197aa96e8eed02200a83fba2657b4c3acd0f0aa4bdc9f6c1af8e8962e0757", size = 150423 },
+    { url = "https://files.pythonhosted.org/packages/f0/b8/e6825e25deb691ff98cf5c9072ee0605dc2acfca98af70c2d1b1bc75190d/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2369eea1ee4a7610a860d88f268eb39b95cb588acd7235e02fd5a5601773d4fa", size = 143184 },
+    { url = "https://files.pythonhosted.org/packages/3e/a2/513f6cbe752421f16d969e32f3583762bfd583848b763913ddab8d9bfd4f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc2722592d8998c870fa4e290c2eec2c1569b87fe58618e67d38b4665dfa680d", size = 145268 },
+    { url = "https://files.pythonhosted.org/packages/74/94/8a5277664f27c3c438546f3eb53b33f5b19568eb7424736bdc440a88a31f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffc9202a29ab3920fa812879e95a9e78b2465fd10be7fcbd042899695d75e616", size = 147601 },
+    { url = "https://files.pythonhosted.org/packages/7c/5f/6d352c51ee763623a98e31194823518e09bfa48be2a7e8383cf691bbb3d0/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:804a4d582ba6e5b747c625bf1255e6b1507465494a40a2130978bda7b932c90b", size = 141098 },
+    { url = "https://files.pythonhosted.org/packages/78/d4/f5704cb629ba5ab16d1d3d741396aec6dc3ca2b67757c45b0599bb010478/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0f55e69f030f7163dffe9fd0752b32f070566451afe180f99dbeeb81f511ad8d", size = 149520 },
+    { url = "https://files.pythonhosted.org/packages/c5/96/64120b1d02b81785f222b976c0fb79a35875457fa9bb40827678e54d1bc8/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c4c3e6da02df6fa1410a7680bd3f63d4f710232d3139089536310d027950696a", size = 152852 },
+    { url = "https://files.pythonhosted.org/packages/84/c9/98e3732278a99f47d487fd3468bc60b882920cef29d1fa6ca460a1fdf4e6/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:5df196eb874dae23dcfb968c83d4f8fdccb333330fe1fc278ac5ceeb101003a9", size = 150488 },
+    { url = "https://files.pythonhosted.org/packages/13/0e/9c8d4cb99c98c1007cc11eda969ebfe837bbbd0acdb4736d228ccaabcd22/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e358e64305fe12299a08e08978f51fc21fac060dcfcddd95453eabe5b93ed0e1", size = 146192 },
+    { url = "https://files.pythonhosted.org/packages/b2/21/2b6b5b860781a0b49427309cb8670785aa543fb2178de875b87b9cc97746/charset_normalizer-3.4.1-cp312-cp312-win32.whl", hash = "sha256:9b23ca7ef998bc739bf6ffc077c2116917eabcc901f88da1b9856b210ef63f35", size = 95550 },
+    { url = "https://files.pythonhosted.org/packages/21/5b/1b390b03b1d16c7e382b561c5329f83cc06623916aab983e8ab9239c7d5c/charset_normalizer-3.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:6ff8a4a60c227ad87030d76e99cd1698345d4491638dfa6673027c48b3cd395f", size = 102785 },
+    { url = "https://files.pythonhosted.org/packages/38/94/ce8e6f63d18049672c76d07d119304e1e2d7c6098f0841b51c666e9f44a0/charset_normalizer-3.4.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:aabfa34badd18f1da5ec1bc2715cadc8dca465868a4e73a0173466b688f29dda", size = 195698 },
+    { url = "https://files.pythonhosted.org/packages/24/2e/dfdd9770664aae179a96561cc6952ff08f9a8cd09a908f259a9dfa063568/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22e14b5d70560b8dd51ec22863f370d1e595ac3d024cb8ad7d308b4cd95f8313", size = 140162 },
+    { url = "https://files.pythonhosted.org/packages/24/4e/f646b9093cff8fc86f2d60af2de4dc17c759de9d554f130b140ea4738ca6/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8436c508b408b82d87dc5f62496973a1805cd46727c34440b0d29d8a2f50a6c9", size = 150263 },
+    { url = "https://files.pythonhosted.org/packages/5e/67/2937f8d548c3ef6e2f9aab0f6e21001056f692d43282b165e7c56023e6dd/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2d074908e1aecee37a7635990b2c6d504cd4766c7bc9fc86d63f9c09af3fa11b", size = 142966 },
+    { url = "https://files.pythonhosted.org/packages/52/ed/b7f4f07de100bdb95c1756d3a4d17b90c1a3c53715c1a476f8738058e0fa/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:955f8851919303c92343d2f66165294848d57e9bba6cf6e3625485a70a038d11", size = 144992 },
+    { url = "https://files.pythonhosted.org/packages/96/2c/d49710a6dbcd3776265f4c923bb73ebe83933dfbaa841c5da850fe0fd20b/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:44ecbf16649486d4aebafeaa7ec4c9fed8b88101f4dd612dcaf65d5e815f837f", size = 147162 },
+    { url = "https://files.pythonhosted.org/packages/b4/41/35ff1f9a6bd380303dea55e44c4933b4cc3c4850988927d4082ada230273/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0924e81d3d5e70f8126529951dac65c1010cdf117bb75eb02dd12339b57749dd", size = 140972 },
+    { url = "https://files.pythonhosted.org/packages/fb/43/c6a0b685fe6910d08ba971f62cd9c3e862a85770395ba5d9cad4fede33ab/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:2967f74ad52c3b98de4c3b32e1a44e32975e008a9cd2a8cc8966d6a5218c5cb2", size = 149095 },
+    { url = "https://files.pythonhosted.org/packages/4c/ff/a9a504662452e2d2878512115638966e75633519ec11f25fca3d2049a94a/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c75cb2a3e389853835e84a2d8fb2b81a10645b503eca9bcb98df6b5a43eb8886", size = 152668 },
+    { url = "https://files.pythonhosted.org/packages/6c/71/189996b6d9a4b932564701628af5cee6716733e9165af1d5e1b285c530ed/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:09b26ae6b1abf0d27570633b2b078a2a20419c99d66fb2823173d73f188ce601", size = 150073 },
+    { url = "https://files.pythonhosted.org/packages/e4/93/946a86ce20790e11312c87c75ba68d5f6ad2208cfb52b2d6a2c32840d922/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa88b843d6e211393a37219e6a1c1df99d35e8fd90446f1118f4216e307e48cd", size = 145732 },
+    { url = "https://files.pythonhosted.org/packages/cd/e5/131d2fb1b0dddafc37be4f3a2fa79aa4c037368be9423061dccadfd90091/charset_normalizer-3.4.1-cp313-cp313-win32.whl", hash = "sha256:eb8178fe3dba6450a3e024e95ac49ed3400e506fd4e9e5c32d30adda88cbd407", size = 95391 },
+    { url = "https://files.pythonhosted.org/packages/27/f2/4f9a69cc7712b9b5ad8fdb87039fd89abba997ad5cbe690d1835d40405b0/charset_normalizer-3.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:b1ac5992a838106edb89654e0aebfc24f5848ae2547d22c2c3f66454daa11971", size = 102702 },
+    { url = "https://files.pythonhosted.org/packages/7f/c0/b913f8f02836ed9ab32ea643c6fe4d3325c3d8627cf6e78098671cafff86/charset_normalizer-3.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b97e690a2118911e39b4042088092771b4ae3fc3aa86518f84b8cf6888dbdb41", size = 197867 },
+    { url = "https://files.pythonhosted.org/packages/0f/6c/2bee440303d705b6fb1e2ec789543edec83d32d258299b16eed28aad48e0/charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78baa6d91634dfb69ec52a463534bc0df05dbd546209b79a3880a34487f4b84f", size = 141385 },
+    { url = "https://files.pythonhosted.org/packages/3d/04/cb42585f07f6f9fd3219ffb6f37d5a39b4fd2db2355b23683060029c35f7/charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1a2bc9f351a75ef49d664206d51f8e5ede9da246602dc2d2726837620ea034b2", size = 151367 },
+    { url = "https://files.pythonhosted.org/packages/54/54/2412a5b093acb17f0222de007cc129ec0e0df198b5ad2ce5699355269dfe/charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:75832c08354f595c760a804588b9357d34ec00ba1c940c15e31e96d902093770", size = 143928 },
+    { url = "https://files.pythonhosted.org/packages/5a/6d/e2773862b043dcf8a221342954f375392bb2ce6487bcd9f2c1b34e1d6781/charset_normalizer-3.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af291f4fe114be0280cdd29d533696a77b5b49cfde5467176ecab32353395c4", size = 146203 },
+    { url = "https://files.pythonhosted.org/packages/b9/f8/ca440ef60d8f8916022859885f231abb07ada3c347c03d63f283bec32ef5/charset_normalizer-3.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0167ddc8ab6508fe81860a57dd472b2ef4060e8d378f0cc555707126830f2537", size = 148082 },
+    { url = "https://files.pythonhosted.org/packages/04/d2/42fd330901aaa4b805a1097856c2edf5095e260a597f65def493f4b8c833/charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:2a75d49014d118e4198bcee5ee0a6f25856b29b12dbf7cd012791f8a6cc5c496", size = 142053 },
+    { url = "https://files.pythonhosted.org/packages/9e/af/3a97a4fa3c53586f1910dadfc916e9c4f35eeada36de4108f5096cb7215f/charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:363e2f92b0f0174b2f8238240a1a30142e3db7b957a5dd5689b0e75fb717cc78", size = 150625 },
+    { url = "https://files.pythonhosted.org/packages/26/ae/23d6041322a3556e4da139663d02fb1b3c59a23ab2e2b56432bd2ad63ded/charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ab36c8eb7e454e34e60eb55ca5d241a5d18b2c6244f6827a30e451c42410b5f7", size = 153549 },
+    { url = "https://files.pythonhosted.org/packages/94/22/b8f2081c6a77cb20d97e57e0b385b481887aa08019d2459dc2858ed64871/charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:4c0907b1928a36d5a998d72d64d8eaa7244989f7aaaf947500d3a800c83a3fd6", size = 150945 },
+    { url = "https://files.pythonhosted.org/packages/c7/0b/c5ec5092747f801b8b093cdf5610e732b809d6cb11f4c51e35fc28d1d389/charset_normalizer-3.4.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:04432ad9479fa40ec0f387795ddad4437a2b50417c69fa275e212933519ff294", size = 146595 },
+    { url = "https://files.pythonhosted.org/packages/0c/5a/0b59704c38470df6768aa154cc87b1ac7c9bb687990a1559dc8765e8627e/charset_normalizer-3.4.1-cp39-cp39-win32.whl", hash = "sha256:3bed14e9c89dcb10e8f3a29f9ccac4955aebe93c71ae803af79265c9ca5644c5", size = 95453 },
+    { url = "https://files.pythonhosted.org/packages/85/2d/a9790237cb4d01a6d57afadc8573c8b73c609ade20b80f4cda30802009ee/charset_normalizer-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:49402233c892a461407c512a19435d1ce275543138294f7ef013f0b63d5d3765", size = 102811 },
+    { url = "https://files.pythonhosted.org/packages/0e/f6/65ecc6878a89bb1c23a086ea335ad4bf21a588990c3f535a227b9eea9108/charset_normalizer-3.4.1-py3-none-any.whl", hash = "sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85", size = 49767 },
 ]
 
 [[package]]
 name = "cloudpickle"
-version = "3.1.0"
+version = "3.1.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/97/c7/f746cadd08c4c08129215cf1b984b632f9e579fc781301e63da9e85c76c1/cloudpickle-3.1.0.tar.gz", hash = "sha256:81a929b6e3c7335c863c771d673d105f02efdb89dfaba0c90495d1c64796601b", size = 66155 }
+sdist = { url = "https://files.pythonhosted.org/packages/52/39/069100b84d7418bc358d81669d5748efb14b9cceacd2f9c75f550424132f/cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64", size = 22113 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/48/41/e1d85ca3cab0b674e277c8c4f678cf66a91cd2cecf93df94353a606fe0db/cloudpickle-3.1.0-py3-none-any.whl", hash = "sha256:fe11acda67f61aaaec473e3afe030feb131d78a43461b718185363384f1ba12e", size = 22021 },
+    { url = "https://files.pythonhosted.org/packages/7e/e8/64c37fadfc2816a7701fa8a6ed8d87327c7d54eacfbfb6edab14a2f2be75/cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e", size = 20992 },
 ]
 
 [[package]]
@@ -246,39 +301,51 @@ wheels = [
 
 [[package]]
 name = "cryptography"
-version = "43.0.3"
+version = "44.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/0d/05/07b55d1fa21ac18c3a8c79f764e2514e6f6a9698f1be44994f5adf0d29db/cryptography-43.0.3.tar.gz", hash = "sha256:315b9001266a492a6ff443b61238f956b214dbec9910a081ba5b6646a055a805", size = 686989 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/1f/f3/01fdf26701a26f4b4dbc337a26883ad5bccaa6f1bbbdd29cd89e22f18a1c/cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e", size = 6225303 },
-    { url = "https://files.pythonhosted.org/packages/a3/01/4896f3d1b392025d4fcbecf40fdea92d3df8662123f6835d0af828d148fd/cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e", size = 3760905 },
-    { url = "https://files.pythonhosted.org/packages/0a/be/f9a1f673f0ed4b7f6c643164e513dbad28dd4f2dcdf5715004f172ef24b6/cryptography-43.0.3-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e1ce50266f4f70bf41a2c6dc4358afadae90e2a1e5342d3c08883df1675374f", size = 3977271 },
-    { url = "https://files.pythonhosted.org/packages/4e/49/80c3a7b5514d1b416d7350830e8c422a4d667b6d9b16a9392ebfd4a5388a/cryptography-43.0.3-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:443c4a81bb10daed9a8f334365fe52542771f25aedaf889fd323a853ce7377d6", size = 3746606 },
-    { url = "https://files.pythonhosted.org/packages/0e/16/a28ddf78ac6e7e3f25ebcef69ab15c2c6be5ff9743dd0709a69a4f968472/cryptography-43.0.3-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:74f57f24754fe349223792466a709f8e0c093205ff0dca557af51072ff47ab18", size = 3986484 },
-    { url = "https://files.pythonhosted.org/packages/01/f5/69ae8da70c19864a32b0315049866c4d411cce423ec169993d0434218762/cryptography-43.0.3-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9762ea51a8fc2a88b70cf2995e5675b38d93bf36bd67d91721c309df184f49bd", size = 3852131 },
-    { url = "https://files.pythonhosted.org/packages/fd/db/e74911d95c040f9afd3612b1f732e52b3e517cb80de8bf183be0b7d413c6/cryptography-43.0.3-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:81ef806b1fef6b06dcebad789f988d3b37ccaee225695cf3e07648eee0fc6b73", size = 4075647 },
-    { url = "https://files.pythonhosted.org/packages/56/48/7b6b190f1462818b324e674fa20d1d5ef3e24f2328675b9b16189cbf0b3c/cryptography-43.0.3-cp37-abi3-win32.whl", hash = "sha256:cbeb489927bd7af4aa98d4b261af9a5bc025bd87f0e3547e11584be9e9427be2", size = 2623873 },
-    { url = "https://files.pythonhosted.org/packages/eb/b1/0ebff61a004f7f89e7b65ca95f2f2375679d43d0290672f7713ee3162aff/cryptography-43.0.3-cp37-abi3-win_amd64.whl", hash = "sha256:f46304d6f0c6ab8e52770addfa2fc41e6629495548862279641972b6215451cd", size = 3068039 },
-    { url = "https://files.pythonhosted.org/packages/30/d5/c8b32c047e2e81dd172138f772e81d852c51f0f2ad2ae8a24f1122e9e9a7/cryptography-43.0.3-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:8ac43ae87929a5982f5948ceda07001ee5e83227fd69cf55b109144938d96984", size = 6222984 },
-    { url = "https://files.pythonhosted.org/packages/2f/78/55356eb9075d0be6e81b59f45c7b48df87f76a20e73893872170471f3ee8/cryptography-43.0.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:846da004a5804145a5f441b8530b4bf35afbf7da70f82409f151695b127213d5", size = 3762968 },
-    { url = "https://files.pythonhosted.org/packages/2a/2c/488776a3dc843f95f86d2f957ca0fc3407d0242b50bede7fad1e339be03f/cryptography-43.0.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f996e7268af62598f2fc1204afa98a3b5712313a55c4c9d434aef49cadc91d4", size = 3977754 },
-    { url = "https://files.pythonhosted.org/packages/7c/04/2345ca92f7a22f601a9c62961741ef7dd0127c39f7310dffa0041c80f16f/cryptography-43.0.3-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:f7b178f11ed3664fd0e995a47ed2b5ff0a12d893e41dd0494f406d1cf555cab7", size = 3749458 },
-    { url = "https://files.pythonhosted.org/packages/ac/25/e715fa0bc24ac2114ed69da33adf451a38abb6f3f24ec207908112e9ba53/cryptography-43.0.3-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:c2e6fc39c4ab499049df3bdf567f768a723a5e8464816e8f009f121a5a9f4405", size = 3988220 },
-    { url = "https://files.pythonhosted.org/packages/21/ce/b9c9ff56c7164d8e2edfb6c9305045fbc0df4508ccfdb13ee66eb8c95b0e/cryptography-43.0.3-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e1be4655c7ef6e1bbe6b5d0403526601323420bcf414598955968c9ef3eb7d16", size = 3853898 },
-    { url = "https://files.pythonhosted.org/packages/2a/33/b3682992ab2e9476b9c81fff22f02c8b0a1e6e1d49ee1750a67d85fd7ed2/cryptography-43.0.3-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:df6b6c6d742395dd77a23ea3728ab62f98379eff8fb61be2744d4679ab678f73", size = 4076592 },
-    { url = "https://files.pythonhosted.org/packages/81/1e/ffcc41b3cebd64ca90b28fd58141c5f68c83d48563c88333ab660e002cd3/cryptography-43.0.3-cp39-abi3-win32.whl", hash = "sha256:d56e96520b1020449bbace2b78b603442e7e378a9b3bd68de65c782db1507995", size = 2623145 },
-    { url = "https://files.pythonhosted.org/packages/87/5c/3dab83cc4aba1f4b0e733e3f0c3e7d4386440d660ba5b1e3ff995feb734d/cryptography-43.0.3-cp39-abi3-win_amd64.whl", hash = "sha256:0c580952eef9bf68c4747774cde7ec1d85a6e61de97281f2dba83c7d2c806362", size = 3068026 },
-    { url = "https://files.pythonhosted.org/packages/6f/db/d8b8a039483f25fc3b70c90bc8f3e1d4497a99358d610c5067bf3bd4f0af/cryptography-43.0.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:d03b5621a135bffecad2c73e9f4deb1a0f977b9a8ffe6f8e002bf6c9d07b918c", size = 3144545 },
-    { url = "https://files.pythonhosted.org/packages/93/90/116edd5f8ec23b2dc879f7a42443e073cdad22950d3c8ee834e3b8124543/cryptography-43.0.3-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:a2a431ee15799d6db9fe80c82b055bae5a752bef645bba795e8e52687c69efe3", size = 3679828 },
-    { url = "https://files.pythonhosted.org/packages/d8/32/1e1d78b316aa22c0ba6493cc271c1c309969e5aa5c22c830a1d7ce3471e6/cryptography-43.0.3-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:281c945d0e28c92ca5e5930664c1cefd85efe80e5c0d2bc58dd63383fda29f83", size = 3908132 },
-    { url = "https://files.pythonhosted.org/packages/91/bb/cd2c13be3332e7af3cdf16154147952d39075b9f61ea5e6b5241bf4bf436/cryptography-43.0.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:f18c716be16bc1fea8e95def49edf46b82fccaa88587a45f8dc0ff6ab5d8e0a7", size = 2988811 },
-    { url = "https://files.pythonhosted.org/packages/cc/fc/ff7c76afdc4f5933b5e99092528d4783d3d1b131960fc8b31eb38e076ca8/cryptography-43.0.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4a02ded6cd4f0a5562a8887df8b3bd14e822a90f97ac5e544c162899bc467664", size = 3146844 },
-    { url = "https://files.pythonhosted.org/packages/d7/29/a233efb3e98b13d9175dcb3c3146988ec990896c8fa07e8467cce27d5a80/cryptography-43.0.3-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:53a583b6637ab4c4e3591a15bc9db855b8d9dee9a669b550f311480acab6eb08", size = 3681997 },
-    { url = "https://files.pythonhosted.org/packages/c0/cf/c9eea7791b961f279fb6db86c3355cfad29a73141f46427af71852b23b95/cryptography-43.0.3-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1ec0bcf7e17c0c5669d881b1cd38c4972fade441b27bda1051665faaa89bdcaa", size = 3905208 },
-    { url = "https://files.pythonhosted.org/packages/21/ea/6c38ca546d5b6dab3874c2b8fc6b1739baac29bacdea31a8c6c0513b3cfa/cryptography-43.0.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2ce6fae5bdad59577b44e4dfed356944fbf1d925269114c28be377692643b4ff", size = 2989787 },
+sdist = { url = "https://files.pythonhosted.org/packages/91/4c/45dfa6829acffa344e3967d6006ee4ae8be57af746ae2eba1c431949b32c/cryptography-44.0.0.tar.gz", hash = "sha256:cd4e834f340b4293430701e772ec543b0fbe6c2dea510a5286fe0acabe153a02", size = 710657 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/55/09/8cc67f9b84730ad330b3b72cf867150744bf07ff113cda21a15a1c6d2c7c/cryptography-44.0.0-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:84111ad4ff3f6253820e6d3e58be2cc2a00adb29335d4cacb5ab4d4d34f2a123", size = 6541833 },
+    { url = "https://files.pythonhosted.org/packages/7e/5b/3759e30a103144e29632e7cb72aec28cedc79e514b2ea8896bb17163c19b/cryptography-44.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15492a11f9e1b62ba9d73c210e2416724633167de94607ec6069ef724fad092", size = 3922710 },
+    { url = "https://files.pythonhosted.org/packages/5f/58/3b14bf39f1a0cfd679e753e8647ada56cddbf5acebffe7db90e184c76168/cryptography-44.0.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:831c3c4d0774e488fdc83a1923b49b9957d33287de923d58ebd3cec47a0ae43f", size = 4137546 },
+    { url = "https://files.pythonhosted.org/packages/98/65/13d9e76ca19b0ba5603d71ac8424b5694415b348e719db277b5edc985ff5/cryptography-44.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:761817a3377ef15ac23cd7834715081791d4ec77f9297ee694ca1ee9c2c7e5eb", size = 3915420 },
+    { url = "https://files.pythonhosted.org/packages/b1/07/40fe09ce96b91fc9276a9ad272832ead0fddedcba87f1190372af8e3039c/cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b", size = 4154498 },
+    { url = "https://files.pythonhosted.org/packages/75/ea/af65619c800ec0a7e4034207aec543acdf248d9bffba0533342d1bd435e1/cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543", size = 3932569 },
+    { url = "https://files.pythonhosted.org/packages/c7/af/d1deb0c04d59612e3d5e54203159e284d3e7a6921e565bb0eeb6269bdd8a/cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e", size = 4016721 },
+    { url = "https://files.pythonhosted.org/packages/bd/69/7ca326c55698d0688db867795134bdfac87136b80ef373aaa42b225d6dd5/cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e", size = 4240915 },
+    { url = "https://files.pythonhosted.org/packages/ef/d4/cae11bf68c0f981e0413906c6dd03ae7fa864347ed5fac40021df1ef467c/cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053", size = 2757925 },
+    { url = "https://files.pythonhosted.org/packages/64/b1/50d7739254d2002acae64eed4fc43b24ac0cc44bf0a0d388d1ca06ec5bb1/cryptography-44.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:abc998e0c0eee3c8a1904221d3f67dcfa76422b23620173e28c11d3e626c21bd", size = 3202055 },
+    { url = "https://files.pythonhosted.org/packages/11/18/61e52a3d28fc1514a43b0ac291177acd1b4de00e9301aaf7ef867076ff8a/cryptography-44.0.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:660cb7312a08bc38be15b696462fa7cc7cd85c3ed9c576e81f4dc4d8b2b31591", size = 6542801 },
+    { url = "https://files.pythonhosted.org/packages/1a/07/5f165b6c65696ef75601b781a280fc3b33f1e0cd6aa5a92d9fb96c410e97/cryptography-44.0.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1923cb251c04be85eec9fda837661c67c1049063305d6be5721643c22dd4e2b7", size = 3922613 },
+    { url = "https://files.pythonhosted.org/packages/28/34/6b3ac1d80fc174812486561cf25194338151780f27e438526f9c64e16869/cryptography-44.0.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:404fdc66ee5f83a1388be54300ae978b2efd538018de18556dde92575e05defc", size = 4137925 },
+    { url = "https://files.pythonhosted.org/packages/d0/c7/c656eb08fd22255d21bc3129625ed9cd5ee305f33752ef2278711b3fa98b/cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289", size = 3915417 },
+    { url = "https://files.pythonhosted.org/packages/ef/82/72403624f197af0db6bac4e58153bc9ac0e6020e57234115db9596eee85d/cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7", size = 4155160 },
+    { url = "https://files.pythonhosted.org/packages/a2/cd/2f3c440913d4329ade49b146d74f2e9766422e1732613f57097fea61f344/cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c", size = 3932331 },
+    { url = "https://files.pythonhosted.org/packages/7f/df/8be88797f0a1cca6e255189a57bb49237402b1880d6e8721690c5603ac23/cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64", size = 4017372 },
+    { url = "https://files.pythonhosted.org/packages/af/36/5ccc376f025a834e72b8e52e18746b927f34e4520487098e283a719c205e/cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285", size = 4239657 },
+    { url = "https://files.pythonhosted.org/packages/46/b0/f4f7d0d0bcfbc8dd6296c1449be326d04217c57afb8b2594f017eed95533/cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417", size = 2758672 },
+    { url = "https://files.pythonhosted.org/packages/97/9b/443270b9210f13f6ef240eff73fd32e02d381e7103969dc66ce8e89ee901/cryptography-44.0.0-cp39-abi3-win_amd64.whl", hash = "sha256:708ee5f1bafe76d041b53a4f95eb28cdeb8d18da17e597d46d7833ee59b97ede", size = 3202071 },
+    { url = "https://files.pythonhosted.org/packages/77/d4/fea74422326388bbac0c37b7489a0fcb1681a698c3b875959430ba550daa/cryptography-44.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:37d76e6863da3774cd9db5b409a9ecfd2c71c981c38788d3fcfaf177f447b731", size = 3338857 },
+    { url = "https://files.pythonhosted.org/packages/1a/aa/ba8a7467c206cb7b62f09b4168da541b5109838627f582843bbbe0235e8e/cryptography-44.0.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:f677e1268c4e23420c3acade68fac427fffcb8d19d7df95ed7ad17cdef8404f4", size = 3850615 },
+    { url = "https://files.pythonhosted.org/packages/89/fa/b160e10a64cc395d090105be14f399b94e617c879efd401188ce0fea39ee/cryptography-44.0.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f5e7cb1e5e56ca0933b4873c0220a78b773b24d40d186b6738080b73d3d0a756", size = 4081622 },
+    { url = "https://files.pythonhosted.org/packages/47/8f/20ff0656bb0cf7af26ec1d01f780c5cfbaa7666736063378c5f48558b515/cryptography-44.0.0-pp310-pypy310_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:8b3e6eae66cf54701ee7d9c83c30ac0a1e3fa17be486033000f2a73a12ab507c", size = 3867546 },
+    { url = "https://files.pythonhosted.org/packages/38/d9/28edf32ee2fcdca587146bcde90102a7319b2f2c690edfa627e46d586050/cryptography-44.0.0-pp310-pypy310_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:be4ce505894d15d5c5037167ffb7f0ae90b7be6f2a98f9a5c3442395501c32fa", size = 4090937 },
+    { url = "https://files.pythonhosted.org/packages/cc/9d/37e5da7519de7b0b070a3fedd4230fe76d50d2a21403e0f2153d70ac4163/cryptography-44.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:62901fb618f74d7d81bf408c8719e9ec14d863086efe4185afd07c352aee1d2c", size = 3128774 },
+]
+
+[[package]]
+name = "cssutils"
+version = "2.11.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "more-itertools" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/33/9f/329d26121fe165be44b1dfff21aa0dc348f04633931f1d20ed6cf448a236/cssutils-2.11.1.tar.gz", hash = "sha256:0563a76513b6af6eebbe788c3bf3d01c920e46b3f90c8416738c5cfc773ff8e2", size = 711657 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/ec/bb273b7208c606890dc36540fe667d06ce840a6f62f9fae7e658fcdc90fb/cssutils-2.11.1-py3-none-any.whl", hash = "sha256:a67bfdfdff4f3867fab43698ec4897c1a828eca5973f4073321b3bccaf1199b1", size = 385747 },
 ]
 
 [[package]]
@@ -292,14 +359,27 @@ wheels = [
 
 [[package]]
 name = "deprecated"
-version = "1.2.14"
+version = "1.2.18"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "wrapt" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/92/14/1e41f504a246fc224d2ac264c227975427a85caf37c3979979edb9b1b232/Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3", size = 2974416 }
+sdist = { url = "https://files.pythonhosted.org/packages/98/97/06afe62762c9a8a86af0cfb7bfdab22a43ad17138b07af5b1a58442690a2/deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d", size = 2928744 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/20/8d/778b7d51b981a96554f29136cd59ca7880bf58094338085bcf2a979a0e6a/Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c", size = 9561 },
+    { url = "https://files.pythonhosted.org/packages/6e/c6/ac0b6c1e2d138f1002bcf799d330bd6d85084fece321e662a14223794041/Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec", size = 9998 },
+]
+
+[[package]]
+name = "dict2css"
+version = "0.3.0.post1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cssutils" },
+    { name = "domdf-python-tools" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/24/eb/776eef1f1aa0188c0fc165c3a60b71027539f71f2eedc43ad21b060e9c39/dict2css-0.3.0.post1.tar.gz", hash = "sha256:89c544c21c4ca7472c3fffb9d37d3d926f606329afdb751dc1de67a411b70719", size = 7845 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fe/47/290daabcf91628f4fc0e17c75a1690b354ba067066cd14407712600e609f/dict2css-0.3.0.post1-py3-none-any.whl", hash = "sha256:f006a6b774c3e31869015122ae82c491fd25e7de4a75607a62aa3e798f837e0d", size = 25647 },
 ]
 
 [[package]]
@@ -311,6 +391,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8f/d7/9322c609343d929e75e7e5e6255e614fcc67572cfd083959cdef3b7aad79/docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2", size = 587408 },
 ]
 
+[[package]]
+name = "domdf-python-tools"
+version = "3.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "natsort" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6b/78/974e10c583ba9d2302e748c9585313a7f2c7ba00e4f600324f432e38fe68/domdf_python_tools-3.9.0.tar.gz", hash = "sha256:1f8a96971178333a55e083e35610d7688cd7620ad2b99790164e1fc1a3614c18", size = 103792 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/de/e9/7447a88b217650a74927d3444a89507986479a69b83741900eddd34167fe/domdf_python_tools-3.9.0-py3-none-any.whl", hash = "sha256:4e1ef365cbc24627d6d1e90cf7d46d8ab8df967e1237f4a26885f6986c78872e", size = 127106 },
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -337,25 +430,53 @@ wheels = [
 
 [[package]]
 name = "filelock"
-version = "3.16.1"
+version = "3.17.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/9d/db/3ef5bb276dae18d6ec2124224403d1d67bccdbefc17af4cc8f553e341ab1/filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435", size = 18037 }
+sdist = { url = "https://files.pythonhosted.org/packages/dc/9c/0b15fb47b464e1b663b1acd1253a062aa5feecb07d4e597daea542ebd2b5/filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e", size = 18027 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b9/f8/feced7779d755758a52d1f6635d990b8d98dc0a29fa568bbe0625f18fdf3/filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0", size = 16163 },
+    { url = "https://files.pythonhosted.org/packages/89/ec/00d68c4ddfedfe64159999e5f8a98fb8442729a63e2077eb9dcd89623d27/filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338", size = 16164 },
 ]
 
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2025.2.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a0/52/f16a068ebadae42526484c31f4398e62962504e5724a8ba5dc3409483df2/fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493", size = 286853 }
+sdist = { url = "https://files.pythonhosted.org/packages/b5/79/68612ed99700e6413de42895aa725463e821a6b3be75c87fcce1b4af4c70/fsspec-2025.2.0.tar.gz", hash = "sha256:1c24b16eaa0a1798afa0337aa0db9b256718ab2a89c425371f5628d22c3b6afd", size = 292283 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c6/b2/454d6e7f0158951d8a78c2e1eb4f69ae81beb8dca5fee9809c6c99e9d0d0/fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871", size = 179641 },
+    { url = "https://files.pythonhosted.org/packages/e2/94/758680531a00d06e471ef649e4ec2ed6bf185356a7f9fbfbb7368a40bd49/fsspec-2025.2.0-py3-none-any.whl", hash = "sha256:9de2ad9ce1f85e1931858535bc882543171d197001a0a5eb2ddc04f1781ab95b", size = 184484 },
+]
+
+[[package]]
+name = "furo"
+version = "2024.8.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "beautifulsoup4" },
+    { name = "pygments" },
+    { name = "sphinx" },
+    { name = "sphinx-basic-ng" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a0/e2/d351d69a9a9e4badb4a5be062c2d0e87bd9e6c23b5e57337fef14bef34c8/furo-2024.8.6.tar.gz", hash = "sha256:b63e4cee8abfc3136d3bc03a3d45a76a850bada4d6374d24c1716b0e01394a01", size = 1661506 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/27/48/e791a7ed487dbb9729ef32bb5d1af16693d8925f4366befef54119b2e576/furo-2024.8.6-py3-none-any.whl", hash = "sha256:6cd97c58b47813d3619e63e9081169880fbe331f0ca883c871ff1f3f11814f5c", size = 341333 },
+]
+
+[[package]]
+name = "html5lib"
+version = "1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+    { name = "webencodings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ac/b6/b55c3f49042f1df3dcd422b7f224f939892ee94f22abcf503a9b7339eaf2/html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f", size = 272215 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6c/dd/a834df6482147d48e225a49515aabc28974ad5a4ca3215c18a882565b028/html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d", size = 112173 },
 ]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.26.2"
+version = "0.28.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "filelock" },
@@ -366,9 +487,9 @@ dependencies = [
     { name = "tqdm" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d5/a8/882ae5d1cfa7c9c5be32feee4cee56d9873078913953423e47a756da110d/huggingface_hub-0.26.2.tar.gz", hash = "sha256:b100d853465d965733964d123939ba287da60a547087783ddff8a323f340332b", size = 375621 }
+sdist = { url = "https://files.pythonhosted.org/packages/e7/ce/a734204aaae6c35a22f9956ebcd8d8708ae5b842e15d6f42bd6f49e634a4/huggingface_hub-0.28.1.tar.gz", hash = "sha256:893471090c98e3b6efbdfdacafe4052b20b84d59866fb6f54c33d9af18c303ae", size = 387074 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/60/bf/cea0b9720c32fa01b0c4ec4b16b9f4ae34ca106b202ebbae9f03ab98cd8f/huggingface_hub-0.26.2-py3-none-any.whl", hash = "sha256:98c2a5a8e786c7b2cb6fdeb2740893cba4d53e312572ed3d8afafda65b128c46", size = 447536 },
+    { url = "https://files.pythonhosted.org/packages/ea/da/6c2bea5327b640920267d3bf2c9fc114cfbd0a5de234d81cda80cc9e33c8/huggingface_hub-0.28.1-py3-none-any.whl", hash = "sha256:aa6b9a3ffdae939b72c464dbb0d7f99f56e649b55c3d52406f49e0a5a620c0a7", size = 464068 },
 ]
 
 [[package]]
@@ -380,16 +501,25 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442 },
 ]
 
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a7/84/62473fb57d61e31fef6e36d64a179c8781605429fd927b5dd608c997be31/imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a", size = 1280026 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b", size = 8769 },
+]
+
 [[package]]
 name = "importlib-metadata"
-version = "8.5.0"
+version = "8.6.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "zipp" },
+    { name = "zipp", marker = "python_full_version < '3.10'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/cd/12/33e59336dca5be0c398a7482335911a33aa0e20776128f038019f1a95f1b/importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7", size = 55304 }
+sdist = { url = "https://files.pythonhosted.org/packages/33/08/c1395a292bb23fd03bdf572a1357c5a733d3eecbab877641ceacab23db6e/importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580", size = 55767 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a0/d9/a1e041c5e7caa9a05c925f4bdbdfb7f006d1f74996af53467bc394c97be7/importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b", size = 26514 },
+    { url = "https://files.pythonhosted.org/packages/79/9d/0fb148dc4d6fa4a7dd1d8378168d9b4cd8d4560a6fbf6f0121c5fc34eb68/importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e", size = 26971 },
 ]
 
 [[package]]
@@ -410,79 +540,16 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0a/66/7f8c48009c72d73bc6bbe6eb87ac838d6a526146f7dab14af671121eb379/invoke-2.2.0-py3-none-any.whl", hash = "sha256:6ea924cc53d4f78e3d98bc436b08069a03077e6f85ad1ddaa8a116d7dad15820", size = 160274 },
 ]
 
-[[package]]
-name = "jaraco-classes"
-version = "3.4.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "more-itertools" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/06/c0/ed4a27bc5571b99e3cff68f8a9fa5b56ff7df1c2251cc715a652ddd26402/jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd", size = 11780 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/7f/66/b15ce62552d84bbfcec9a4873ab79d993a1dd4edb922cbfccae192bd5b5f/jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790", size = 6777 },
-]
-
-[[package]]
-name = "jaraco-context"
-version = "6.0.1"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "backports-tarfile", marker = "python_full_version < '3.12'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/df/ad/f3777b81bf0b6e7bc7514a1656d3e637b2e8e15fab2ce3235730b3e7a4e6/jaraco_context-6.0.1.tar.gz", hash = "sha256:9bae4ea555cf0b14938dc0aee7c9f32ed303aa20a3b73e7dc80111628792d1b3", size = 13912 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/ff/db/0c52c4cf5e4bd9f5d7135ec7669a3a767af21b3a308e1ed3674881e52b62/jaraco.context-6.0.1-py3-none-any.whl", hash = "sha256:f797fc481b490edb305122c9181830a3a5b76d84ef6d1aef2fb9b47ab956f9e4", size = 6825 },
-]
-
-[[package]]
-name = "jaraco-functools"
-version = "4.1.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "more-itertools" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/ab/23/9894b3df5d0a6eb44611c36aec777823fc2e07740dabbd0b810e19594013/jaraco_functools-4.1.0.tar.gz", hash = "sha256:70f7e0e2ae076498e212562325e805204fc092d7b4c17e0e86c959e249701a9d", size = 19159 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/9f/4f/24b319316142c44283d7540e76c7b5a6dbd5db623abd86bb7b3491c21018/jaraco.functools-4.1.0-py3-none-any.whl", hash = "sha256:ad159f13428bc4acbf5541ad6dec511f91573b90fba04df61dafa2a1231cf649", size = 10187 },
-]
-
-[[package]]
-name = "jeepney"
-version = "0.8.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d6/f4/154cf374c2daf2020e05c3c6a03c91348d59b23c5366e968feb198306fdf/jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806", size = 106005 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/ae/72/2a1e2290f1ab1e06f71f3d0f1646c9e4634e70e1d37491535e19266e8dc9/jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755", size = 48435 },
-]
-
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "markupsafe" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ed/55/39036716d19cab0747a5020fc7e907f362fbf48c984b14e62127f7e68e5d/jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369", size = 240245 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/31/80/3a54838c3fb461f6fec263ebf3a3a41771bd05190238de3486aae8540c36/jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d", size = 133271 },
-]
-
-[[package]]
-name = "keyring"
-version = "25.5.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "importlib-metadata", marker = "python_full_version < '3.12'" },
-    { name = "jaraco-classes" },
-    { name = "jaraco-context" },
-    { name = "jaraco-functools" },
-    { name = "jeepney", marker = "sys_platform == 'linux'" },
-    { name = "pywin32-ctypes", marker = "sys_platform == 'win32'" },
-    { name = "secretstorage", marker = "sys_platform == 'linux'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/f6/24/64447b13df6a0e2797b586dad715766d756c932ce8ace7f67bd384d76ae0/keyring-25.5.0.tar.gz", hash = "sha256:4c753b3ec91717fe713c4edd522d625889d8973a349b0e582622f49766de58e6", size = 62675 }
+sdist = { url = "https://files.pythonhosted.org/packages/af/92/b3130cbbf5591acf9ade8708c365f3238046ac7cb8ccba6e81abccb0ccff/jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb", size = 244674 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/32/c9/353c156fa2f057e669106e5d6bcdecf85ef8d3536ce68ca96f18dc7b6d6f/keyring-25.5.0-py3-none-any.whl", hash = "sha256:e67f8ac32b04be4714b42fe84ce7dad9c40985b9ca827c592cc303e7c26d9741", size = 39096 },
+    { url = "https://files.pythonhosted.org/packages/bd/0f/2ba5fbcd631e3e88689309dbe978c5769e883e4b84ebfe7da30b43275c5a/jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb", size = 134596 },
 ]
 
 [[package]]
@@ -565,6 +632,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b3/73/085399401383ce949f727afec55ec3abd76648d04b9f22e1c0e99cb4bec3/MarkupSafe-3.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:6e296a513ca3d94054c2c881cc913116e90fd030ad1c656b3869762b754f5f8a", size = 15506 },
 ]
 
+[[package]]
+name = "mdit-py-plugins"
+version = "0.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markdown-it-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/03/a2ecab526543b152300717cf232bb4bb8605b6edb946c845016fa9c9c9fd/mdit_py_plugins-0.4.2.tar.gz", hash = "sha256:5f2cd1fdb606ddf152d37ec30e46101a60512bc0e5fa1a7002c36647b09e26b5", size = 43542 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/f7/7782a043553ee469c1ff49cfa1cdace2d6bf99a1f333cf38676b3ddf30da/mdit_py_plugins-0.4.2-py3-none-any.whl", hash = "sha256:0c673c3f889399a33b95e88d2f0d111b4447bdfea7f237dab2d488f459835636", size = 55316 },
+]
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -576,11 +655,11 @@ wheels = [
 
 [[package]]
 name = "more-itertools"
-version = "10.5.0"
+version = "10.6.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/51/78/65922308c4248e0eb08ebcbe67c95d48615cc6f27854b6f2e57143e9178f/more-itertools-10.5.0.tar.gz", hash = "sha256:5482bfef7849c25dc3c6dd53a6173ae4795da2a41a80faea6700d9f5846c5da6", size = 121020 }
+sdist = { url = "https://files.pythonhosted.org/packages/88/3b/7fa1fe835e2e93fd6d7b52b2f95ae810cf5ba133e1845f726f5a992d62c2/more-itertools-10.6.0.tar.gz", hash = "sha256:2cd7fad1009c31cc9fb6a035108509e6547547a7a738374f10bd49a09eb3ee3b", size = 125009 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/48/7e/3a64597054a70f7c86eb0a7d4fc315b8c1ab932f64883a297bdffeb5f967/more_itertools-10.5.0-py3-none-any.whl", hash = "sha256:037b0d3203ce90cca8ab1defbbdac29d5f993fc20131f3664dc8d6acfa872aef", size = 60952 },
+    { url = "https://files.pythonhosted.org/packages/23/62/0fe302c6d1be1c777cab0616e6302478251dfbf9055ad426f5d0def75c89/more_itertools-10.6.0-py3-none-any.whl", hash = "sha256:6eb054cb4b6db1473f6e15fcc676a08e4732548acd47c708f0e179c2c7c01e89", size = 63038 },
 ]
 
 [[package]]
@@ -592,36 +671,119 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c", size = 536198 },
 ]
 
+[[package]]
+name = "msgpack"
+version = "1.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cb/d0/7555686ae7ff5731205df1012ede15dd9d927f6227ea151e901c7406af4f/msgpack-1.1.0.tar.gz", hash = "sha256:dd432ccc2c72b914e4cb77afce64aab761c1137cc698be3984eee260bcb2896e", size = 167260 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4b/f9/a892a6038c861fa849b11a2bb0502c07bc698ab6ea53359e5771397d883b/msgpack-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ad442d527a7e358a469faf43fda45aaf4ac3249c8310a82f0ccff9164e5dccd", size = 150428 },
+    { url = "https://files.pythonhosted.org/packages/df/7a/d174cc6a3b6bb85556e6a046d3193294a92f9a8e583cdbd46dc8a1d7e7f4/msgpack-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74bed8f63f8f14d75eec75cf3d04ad581da6b914001b474a5d3cd3372c8cc27d", size = 84131 },
+    { url = "https://files.pythonhosted.org/packages/08/52/bf4fbf72f897a23a56b822997a72c16de07d8d56d7bf273242f884055682/msgpack-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:914571a2a5b4e7606997e169f64ce53a8b1e06f2cf2c3a7273aa106236d43dd5", size = 81215 },
+    { url = "https://files.pythonhosted.org/packages/02/95/dc0044b439b518236aaf012da4677c1b8183ce388411ad1b1e63c32d8979/msgpack-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c921af52214dcbb75e6bdf6a661b23c3e6417f00c603dd2070bccb5c3ef499f5", size = 371229 },
+    { url = "https://files.pythonhosted.org/packages/ff/75/09081792db60470bef19d9c2be89f024d366b1e1973c197bb59e6aabc647/msgpack-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8ce0b22b890be5d252de90d0e0d119f363012027cf256185fc3d474c44b1b9e", size = 378034 },
+    { url = "https://files.pythonhosted.org/packages/32/d3/c152e0c55fead87dd948d4b29879b0f14feeeec92ef1fd2ec21b107c3f49/msgpack-1.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:73322a6cc57fcee3c0c57c4463d828e9428275fb85a27aa2aa1a92fdc42afd7b", size = 363070 },
+    { url = "https://files.pythonhosted.org/packages/d9/2c/82e73506dd55f9e43ac8aa007c9dd088c6f0de2aa19e8f7330e6a65879fc/msgpack-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e1f3c3d21f7cf67bcf2da8e494d30a75e4cf60041d98b3f79875afb5b96f3a3f", size = 359863 },
+    { url = "https://files.pythonhosted.org/packages/cb/a0/3d093b248837094220e1edc9ec4337de3443b1cfeeb6e0896af8ccc4cc7a/msgpack-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:64fc9068d701233effd61b19efb1485587560b66fe57b3e50d29c5d78e7fef68", size = 368166 },
+    { url = "https://files.pythonhosted.org/packages/e4/13/7646f14f06838b406cf5a6ddbb7e8dc78b4996d891ab3b93c33d1ccc8678/msgpack-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:42f754515e0f683f9c79210a5d1cad631ec3d06cea5172214d2176a42e67e19b", size = 370105 },
+    { url = "https://files.pythonhosted.org/packages/67/fa/dbbd2443e4578e165192dabbc6a22c0812cda2649261b1264ff515f19f15/msgpack-1.1.0-cp310-cp310-win32.whl", hash = "sha256:3df7e6b05571b3814361e8464f9304c42d2196808e0119f55d0d3e62cd5ea044", size = 68513 },
+    { url = "https://files.pythonhosted.org/packages/24/ce/c2c8fbf0ded750cb63cbcbb61bc1f2dfd69e16dca30a8af8ba80ec182dcd/msgpack-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:685ec345eefc757a7c8af44a3032734a739f8c45d1b0ac45efc5d8977aa4720f", size = 74687 },
+    { url = "https://files.pythonhosted.org/packages/b7/5e/a4c7154ba65d93be91f2f1e55f90e76c5f91ccadc7efc4341e6f04c8647f/msgpack-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3d364a55082fb2a7416f6c63ae383fbd903adb5a6cf78c5b96cc6316dc1cedc7", size = 150803 },
+    { url = "https://files.pythonhosted.org/packages/60/c2/687684164698f1d51c41778c838d854965dd284a4b9d3a44beba9265c931/msgpack-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79ec007767b9b56860e0372085f8504db5d06bd6a327a335449508bbee9648fa", size = 84343 },
+    { url = "https://files.pythonhosted.org/packages/42/ae/d3adea9bb4a1342763556078b5765e666f8fdf242e00f3f6657380920972/msgpack-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6ad622bf7756d5a497d5b6836e7fc3752e2dd6f4c648e24b1803f6048596f701", size = 81408 },
+    { url = "https://files.pythonhosted.org/packages/dc/17/6313325a6ff40ce9c3207293aee3ba50104aed6c2c1559d20d09e5c1ff54/msgpack-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e59bca908d9ca0de3dc8684f21ebf9a690fe47b6be93236eb40b99af28b6ea6", size = 396096 },
+    { url = "https://files.pythonhosted.org/packages/a8/a1/ad7b84b91ab5a324e707f4c9761633e357820b011a01e34ce658c1dda7cc/msgpack-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1da8f11a3dd397f0a32c76165cf0c4eb95b31013a94f6ecc0b280c05c91b59", size = 403671 },
+    { url = "https://files.pythonhosted.org/packages/bb/0b/fd5b7c0b308bbf1831df0ca04ec76fe2f5bf6319833646b0a4bd5e9dc76d/msgpack-1.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:452aff037287acb1d70a804ffd022b21fa2bb7c46bee884dbc864cc9024128a0", size = 387414 },
+    { url = "https://files.pythonhosted.org/packages/f0/03/ff8233b7c6e9929a1f5da3c7860eccd847e2523ca2de0d8ef4878d354cfa/msgpack-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8da4bf6d54ceed70e8861f833f83ce0814a2b72102e890cbdfe4b34764cdd66e", size = 383759 },
+    { url = "https://files.pythonhosted.org/packages/1f/1b/eb82e1fed5a16dddd9bc75f0854b6e2fe86c0259c4353666d7fab37d39f4/msgpack-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:41c991beebf175faf352fb940bf2af9ad1fb77fd25f38d9142053914947cdbf6", size = 394405 },
+    { url = "https://files.pythonhosted.org/packages/90/2e/962c6004e373d54ecf33d695fb1402f99b51832631e37c49273cc564ffc5/msgpack-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a52a1f3a5af7ba1c9ace055b659189f6c669cf3657095b50f9602af3a3ba0fe5", size = 396041 },
+    { url = "https://files.pythonhosted.org/packages/f8/20/6e03342f629474414860c48aeffcc2f7f50ddaf351d95f20c3f1c67399a8/msgpack-1.1.0-cp311-cp311-win32.whl", hash = "sha256:58638690ebd0a06427c5fe1a227bb6b8b9fdc2bd07701bec13c2335c82131a88", size = 68538 },
+    { url = "https://files.pythonhosted.org/packages/aa/c4/5a582fc9a87991a3e6f6800e9bb2f3c82972912235eb9539954f3e9997c7/msgpack-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fd2906780f25c8ed5d7b323379f6138524ba793428db5d0e9d226d3fa6aa1788", size = 74871 },
+    { url = "https://files.pythonhosted.org/packages/e1/d6/716b7ca1dbde63290d2973d22bbef1b5032ca634c3ff4384a958ec3f093a/msgpack-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d46cf9e3705ea9485687aa4001a76e44748b609d260af21c4ceea7f2212a501d", size = 152421 },
+    { url = "https://files.pythonhosted.org/packages/70/da/5312b067f6773429cec2f8f08b021c06af416bba340c912c2ec778539ed6/msgpack-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5dbad74103df937e1325cc4bfeaf57713be0b4f15e1c2da43ccdd836393e2ea2", size = 85277 },
+    { url = "https://files.pythonhosted.org/packages/28/51/da7f3ae4462e8bb98af0d5bdf2707f1b8c65a0d4f496e46b6afb06cbc286/msgpack-1.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:58dfc47f8b102da61e8949708b3eafc3504509a5728f8b4ddef84bd9e16ad420", size = 82222 },
+    { url = "https://files.pythonhosted.org/packages/33/af/dc95c4b2a49cff17ce47611ca9ba218198806cad7796c0b01d1e332c86bb/msgpack-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4676e5be1b472909b2ee6356ff425ebedf5142427842aa06b4dfd5117d1ca8a2", size = 392971 },
+    { url = "https://files.pythonhosted.org/packages/f1/54/65af8de681fa8255402c80eda2a501ba467921d5a7a028c9c22a2c2eedb5/msgpack-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17fb65dd0bec285907f68b15734a993ad3fc94332b5bb21b0435846228de1f39", size = 401403 },
+    { url = "https://files.pythonhosted.org/packages/97/8c/e333690777bd33919ab7024269dc3c41c76ef5137b211d776fbb404bfead/msgpack-1.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a51abd48c6d8ac89e0cfd4fe177c61481aca2d5e7ba42044fd218cfd8ea9899f", size = 385356 },
+    { url = "https://files.pythonhosted.org/packages/57/52/406795ba478dc1c890559dd4e89280fa86506608a28ccf3a72fbf45df9f5/msgpack-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2137773500afa5494a61b1208619e3871f75f27b03bcfca7b3a7023284140247", size = 383028 },
+    { url = "https://files.pythonhosted.org/packages/e7/69/053b6549bf90a3acadcd8232eae03e2fefc87f066a5b9fbb37e2e608859f/msgpack-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:398b713459fea610861c8a7b62a6fec1882759f308ae0795b5413ff6a160cf3c", size = 391100 },
+    { url = "https://files.pythonhosted.org/packages/23/f0/d4101d4da054f04274995ddc4086c2715d9b93111eb9ed49686c0f7ccc8a/msgpack-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:06f5fd2f6bb2a7914922d935d3b8bb4a7fff3a9a91cfce6d06c13bc42bec975b", size = 394254 },
+    { url = "https://files.pythonhosted.org/packages/1c/12/cf07458f35d0d775ff3a2dc5559fa2e1fcd06c46f1ef510e594ebefdca01/msgpack-1.1.0-cp312-cp312-win32.whl", hash = "sha256:ad33e8400e4ec17ba782f7b9cf868977d867ed784a1f5f2ab46e7ba53b6e1e1b", size = 69085 },
+    { url = "https://files.pythonhosted.org/packages/73/80/2708a4641f7d553a63bc934a3eb7214806b5b39d200133ca7f7afb0a53e8/msgpack-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:115a7af8ee9e8cddc10f87636767857e7e3717b7a2e97379dc2054712693e90f", size = 75347 },
+    { url = "https://files.pythonhosted.org/packages/c8/b0/380f5f639543a4ac413e969109978feb1f3c66e931068f91ab6ab0f8be00/msgpack-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:071603e2f0771c45ad9bc65719291c568d4edf120b44eb36324dcb02a13bfddf", size = 151142 },
+    { url = "https://files.pythonhosted.org/packages/c8/ee/be57e9702400a6cb2606883d55b05784fada898dfc7fd12608ab1fdb054e/msgpack-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0f92a83b84e7c0749e3f12821949d79485971f087604178026085f60ce109330", size = 84523 },
+    { url = "https://files.pythonhosted.org/packages/7e/3a/2919f63acca3c119565449681ad08a2f84b2171ddfcff1dba6959db2cceb/msgpack-1.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4a1964df7b81285d00a84da4e70cb1383f2e665e0f1f2a7027e683956d04b734", size = 81556 },
+    { url = "https://files.pythonhosted.org/packages/7c/43/a11113d9e5c1498c145a8925768ea2d5fce7cbab15c99cda655aa09947ed/msgpack-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:59caf6a4ed0d164055ccff8fe31eddc0ebc07cf7326a2aaa0dbf7a4001cd823e", size = 392105 },
+    { url = "https://files.pythonhosted.org/packages/2d/7b/2c1d74ca6c94f70a1add74a8393a0138172207dc5de6fc6269483519d048/msgpack-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0907e1a7119b337971a689153665764adc34e89175f9a34793307d9def08e6ca", size = 399979 },
+    { url = "https://files.pythonhosted.org/packages/82/8c/cf64ae518c7b8efc763ca1f1348a96f0e37150061e777a8ea5430b413a74/msgpack-1.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:65553c9b6da8166e819a6aa90ad15288599b340f91d18f60b2061f402b9a4915", size = 383816 },
+    { url = "https://files.pythonhosted.org/packages/69/86/a847ef7a0f5ef3fa94ae20f52a4cacf596a4e4a010197fbcc27744eb9a83/msgpack-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:7a946a8992941fea80ed4beae6bff74ffd7ee129a90b4dd5cf9c476a30e9708d", size = 380973 },
+    { url = "https://files.pythonhosted.org/packages/aa/90/c74cf6e1126faa93185d3b830ee97246ecc4fe12cf9d2d31318ee4246994/msgpack-1.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4b51405e36e075193bc051315dbf29168d6141ae2500ba8cd80a522964e31434", size = 387435 },
+    { url = "https://files.pythonhosted.org/packages/7a/40/631c238f1f338eb09f4acb0f34ab5862c4e9d7eda11c1b685471a4c5ea37/msgpack-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4c01941fd2ff87c2a934ee6055bda4ed353a7846b8d4f341c428109e9fcde8c", size = 399082 },
+    { url = "https://files.pythonhosted.org/packages/e9/1b/fa8a952be252a1555ed39f97c06778e3aeb9123aa4cccc0fd2acd0b4e315/msgpack-1.1.0-cp313-cp313-win32.whl", hash = "sha256:7c9a35ce2c2573bada929e0b7b3576de647b0defbd25f5139dcdaba0ae35a4cc", size = 69037 },
+    { url = "https://files.pythonhosted.org/packages/b6/bc/8bd826dd03e022153bfa1766dcdec4976d6c818865ed54223d71f07862b3/msgpack-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:bce7d9e614a04d0883af0b3d4d501171fbfca038f12c77fa838d9f198147a23f", size = 75140 },
+    { url = "https://files.pythonhosted.org/packages/f7/3b/544a5c5886042b80e1f4847a4757af3430f60d106d8d43bb7be72c9e9650/msgpack-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:53258eeb7a80fc46f62fd59c876957a2d0e15e6449a9e71842b6d24419d88ca1", size = 150713 },
+    { url = "https://files.pythonhosted.org/packages/93/af/d63f25bcccd3d6f06fd518ba4a321f34a4370c67b579ca5c70b4a37721b4/msgpack-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7e7b853bbc44fb03fbdba34feb4bd414322180135e2cb5164f20ce1c9795ee48", size = 84277 },
+    { url = "https://files.pythonhosted.org/packages/92/9b/5c0dfb0009b9f96328664fecb9f8e4e9c8a1ae919e6d53986c1b813cb493/msgpack-1.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f3e9b4936df53b970513eac1758f3882c88658a220b58dcc1e39606dccaaf01c", size = 81357 },
+    { url = "https://files.pythonhosted.org/packages/d1/7c/3a9ee6ec9fc3e47681ad39b4d344ee04ff20a776b594fba92d88d8b68356/msgpack-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46c34e99110762a76e3911fc923222472c9d681f1094096ac4102c18319e6468", size = 371256 },
+    { url = "https://files.pythonhosted.org/packages/f7/0a/8a213cecea7b731c540f25212ba5f9a818f358237ac51a44d448bd753690/msgpack-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a706d1e74dd3dea05cb54580d9bd8b2880e9264856ce5068027eed09680aa74", size = 377868 },
+    { url = "https://files.pythonhosted.org/packages/1b/94/a82b0db0981e9586ed5af77d6cfb343da05d7437dceaae3b35d346498110/msgpack-1.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:534480ee5690ab3cbed89d4c8971a5c631b69a8c0883ecfea96c19118510c846", size = 363370 },
+    { url = "https://files.pythonhosted.org/packages/93/fc/6c7f0dcc1c913e14861e16eaf494c07fc1dde454ec726ff8cebcf348ae53/msgpack-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8cf9e8c3a2153934a23ac160cc4cba0ec035f6867c8013cc6077a79823370346", size = 358970 },
+    { url = "https://files.pythonhosted.org/packages/1f/c6/e4a04c0089deace870dabcdef5c9f12798f958e2e81d5012501edaff342f/msgpack-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:3180065ec2abbe13a4ad37688b61b99d7f9e012a535b930e0e683ad6bc30155b", size = 366358 },
+    { url = "https://files.pythonhosted.org/packages/b6/54/7d8317dac590cf16b3e08e3fb74d2081e5af44eb396f0effa13f17777f30/msgpack-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c5a91481a3cc573ac8c0d9aace09345d989dc4a0202b7fcb312c88c26d4e71a8", size = 370336 },
+    { url = "https://files.pythonhosted.org/packages/dc/6f/a5a1f43b6566831e9630e5bc5d86034a8884386297302be128402555dde1/msgpack-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f80bc7d47f76089633763f952e67f8214cb7b3ee6bfa489b3cb6a84cfac114cd", size = 68683 },
+    { url = "https://files.pythonhosted.org/packages/5f/e8/2162621e18dbc36e2bc8492fd0e97b3975f5d89fe0472ae6d5f7fbdd8cf7/msgpack-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:4d1b7ff2d6146e16e8bd665ac726a89c74163ef8cd39fa8c1087d4e52d3a2325", size = 74787 },
+]
+
+[[package]]
+name = "myst-parser"
+version = "3.0.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "docutils" },
+    { name = "jinja2" },
+    { name = "markdown-it-py" },
+    { name = "mdit-py-plugins" },
+    { name = "pyyaml" },
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/49/64/e2f13dac02f599980798c01156393b781aec983b52a6e4057ee58f07c43a/myst_parser-3.0.1.tar.gz", hash = "sha256:88f0cb406cb363b077d176b51c476f62d60604d68a8dcdf4832e080441301a87", size = 92392 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e2/de/21aa8394f16add8f7427f0a1326ccd2b3a2a8a3245c9252bc5ac034c6155/myst_parser-3.0.1-py3-none-any.whl", hash = "sha256:6457aaa33a5d474aca678b8ead9b3dc298e89c68e67012e73146ea6fd54babf1", size = 83163 },
+]
+
+[[package]]
+name = "natsort"
+version = "8.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e2/a9/a0c57aee75f77794adaf35322f8b6404cbd0f89ad45c87197a937764b7d0/natsort-8.4.0.tar.gz", hash = "sha256:45312c4a0e5507593da193dedd04abb1469253b601ecaf63445ad80f0a1ea581", size = 76575 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ef/82/7a9d0550484a62c6da82858ee9419f3dd1ccc9aa1c26a1e43da3ecd20b0d/natsort-8.4.0-py3-none-any.whl", hash = "sha256:4732914fb471f56b5cce04d7bae6f164a592c7712e1c85f9ef585e197299521c", size = 38268 },
+]
+
 [[package]]
 name = "networkx"
 version = "3.2.1"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.10'",
+]
 sdist = { url = "https://files.pythonhosted.org/packages/c4/80/a84676339aaae2f1cfdf9f418701dd634aef9cc76f708ef55c36ff39c3ca/networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6", size = 2073928 }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/d5/f0/8fbc882ca80cf077f1b246c0e3c3465f7f415439bdea6b899f6b19f61f70/networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2", size = 1647772 },
 ]
 
 [[package]]
-name = "nh3"
-version = "0.2.18"
+name = "networkx"
+version = "3.4.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/62/73/10df50b42ddb547a907deeb2f3c9823022580a7a47281e8eae8e003a9639/nh3-0.2.18.tar.gz", hash = "sha256:94a166927e53972a9698af9542ace4e38b9de50c34352b962f4d9a7d4c927af4", size = 15028 }
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
+    "python_full_version >= '3.10' and python_full_version < '3.12'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/fd/1d/06475e1cd5264c0b870ea2cc6fdb3e37177c1e565c43f56ff17a10e3937f/networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1", size = 2151368 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b3/89/1daff5d9ba5a95a157c092c7c5f39b8dd2b1ddb4559966f808d31cfb67e0/nh3-0.2.18-cp37-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:14c5a72e9fe82aea5fe3072116ad4661af5cf8e8ff8fc5ad3450f123e4925e86", size = 1374474 },
-    { url = "https://files.pythonhosted.org/packages/2c/b6/42fc3c69cabf86b6b81e4c051a9b6e249c5ba9f8155590222c2622961f58/nh3-0.2.18-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:7b7c2a3c9eb1a827d42539aa64091640bd275b81e097cd1d8d82ef91ffa2e811", size = 694573 },
-    { url = "https://files.pythonhosted.org/packages/45/b9/833f385403abaf0023c6547389ec7a7acf141ddd9d1f21573723a6eab39a/nh3-0.2.18-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42c64511469005058cd17cc1537578eac40ae9f7200bedcfd1fc1a05f4f8c200", size = 844082 },
-    { url = "https://files.pythonhosted.org/packages/05/2b/85977d9e11713b5747595ee61f381bc820749daf83f07b90b6c9964cf932/nh3-0.2.18-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0411beb0589eacb6734f28d5497ca2ed379eafab8ad8c84b31bb5c34072b7164", size = 782460 },
-    { url = "https://files.pythonhosted.org/packages/72/f2/5c894d5265ab80a97c68ca36f25c8f6f0308abac649aaf152b74e7e854a8/nh3-0.2.18-cp37-abi3-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:5f36b271dae35c465ef5e9090e1fdaba4a60a56f0bb0ba03e0932a66f28b9189", size = 879827 },
-    { url = "https://files.pythonhosted.org/packages/ab/a7/375afcc710dbe2d64cfbd69e31f82f3e423d43737258af01f6a56d844085/nh3-0.2.18-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:34c03fa78e328c691f982b7c03d4423bdfd7da69cd707fe572f544cf74ac23ad", size = 841080 },
-    { url = "https://files.pythonhosted.org/packages/c2/a8/3bb02d0c60a03ad3a112b76c46971e9480efa98a8946677b5a59f60130ca/nh3-0.2.18-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19aaba96e0f795bd0a6c56291495ff59364f4300d4a39b29a0abc9cb3774a84b", size = 924144 },
-    { url = "https://files.pythonhosted.org/packages/1b/63/6ab90d0e5225ab9780f6c9fb52254fa36b52bb7c188df9201d05b647e5e1/nh3-0.2.18-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de3ceed6e661954871d6cd78b410213bdcb136f79aafe22aa7182e028b8c7307", size = 769192 },
-    { url = "https://files.pythonhosted.org/packages/a4/17/59391c28580e2c32272761629893e761442fc7666da0b1cdb479f3b67b88/nh3-0.2.18-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6955369e4d9f48f41e3f238a9e60f9410645db7e07435e62c6a9ea6135a4907f", size = 791042 },
-    { url = "https://files.pythonhosted.org/packages/a3/da/0c4e282bc3cff4a0adf37005fa1fb42257673fbc1bbf7d1ff639ec3d255a/nh3-0.2.18-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:f0eca9ca8628dbb4e916ae2491d72957fdd35f7a5d326b7032a345f111ac07fe", size = 1010073 },
-    { url = "https://files.pythonhosted.org/packages/de/81/c291231463d21da5f8bba82c8167a6d6893cc5419b0639801ee5d3aeb8a9/nh3-0.2.18-cp37-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:3a157ab149e591bb638a55c8c6bcb8cdb559c8b12c13a8affaba6cedfe51713a", size = 1029782 },
-    { url = "https://files.pythonhosted.org/packages/63/1d/842fed85cf66c973be0aed8770093d6a04741f65e2c388ddd4c07fd3296e/nh3-0.2.18-cp37-abi3-musllinux_1_2_i686.whl", hash = "sha256:c8b3a1cebcba9b3669ed1a84cc65bf005728d2f0bc1ed2a6594a992e817f3a50", size = 942504 },
-    { url = "https://files.pythonhosted.org/packages/eb/61/73a007c74c37895fdf66e0edcd881f5eaa17a348ff02f4bb4bc906d61085/nh3-0.2.18-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:36c95d4b70530b320b365659bb5034341316e6a9b30f0b25fa9c9eff4c27a204", size = 941541 },
-    { url = "https://files.pythonhosted.org/packages/78/48/54a788fc9428e481b2f58e0cd8564f6c74ffb6e9ef73d39e8acbeae8c629/nh3-0.2.18-cp37-abi3-win32.whl", hash = "sha256:a7f1b5b2c15866f2db413a3649a8fe4fd7b428ae58be2c0f6bca5eefd53ca2be", size = 573750 },
-    { url = "https://files.pythonhosted.org/packages/26/8d/53c5b19c4999bdc6ba95f246f4ef35ca83d7d7423e5e38be43ad66544e5d/nh3-0.2.18-cp37-abi3-win_amd64.whl", hash = "sha256:8ce0f819d2f1933953fca255db2471ad58184a60508f03e6285e5114b6254844", size = 579012 },
+    { url = "https://files.pythonhosted.org/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f", size = 1723263 },
 ]
 
 [[package]]
@@ -633,10 +795,29 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d2/1d/1b658dbd2b9fa9c4c9f32accbfc0205d532c8c6194dc0f2a4c0428e7128a/nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9", size = 22314 },
 ]
 
+[[package]]
+name = "nodejs-wheel-binaries"
+version = "22.13.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5d/c5/1af2fc54fcc18f4a99426b46f18832a04f755ee340019e1be536187c1e1c/nodejs_wheel_binaries-22.13.1.tar.gz", hash = "sha256:a0c15213c9c3383541be4400a30959883868ce5da9cebb3d63ddc7fe61459308", size = 8053 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7c/e9/b0dd118e0fd4eabe1ec9c3d9a68df4d811282e8837b811d804f23742e117/nodejs_wheel_binaries-22.13.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:e4f64d0e26600d51cbdd98a6718a19c2d1b8c7538e9e353e95a634a06a8e1a58", size = 51015650 },
+    { url = "https://files.pythonhosted.org/packages/cc/a6/9ba835f5d4f3f6b1f01191e7ac0874871f9743de5c42a5a9a54e67c2e2a6/nodejs_wheel_binaries-22.13.1-py2.py3-none-macosx_11_0_x86_64.whl", hash = "sha256:afcb40484bb02f23137f838014724604ae183fd767b30da95b0be1510a40c06d", size = 51814957 },
+    { url = "https://files.pythonhosted.org/packages/0d/2e/a430207e5f22bd3dcffb81acbddf57ee4108b9e2b0f99a5578dc2c1ff7fc/nodejs_wheel_binaries-22.13.1-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4fc88c98eebabfc36b5270a4ab974a2682746931567ca76a5ca49c54482bbb51", size = 57148437 },
+    { url = "https://files.pythonhosted.org/packages/97/f4/5731b6f0c8af434619b4f1b8fd895bc33fca60168cd68133e52841872114/nodejs_wheel_binaries-22.13.1-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b9f75ea8f5e3e5416256fcb00a98cbe14c8d3b6dcaf17da29c4ade5723026d8", size = 57634451 },
+    { url = "https://files.pythonhosted.org/packages/49/28/83166f7e39812e9ef99cfa3e722c54e32dd9de6a1290f3216c2e5d1f4957/nodejs_wheel_binaries-22.13.1-py2.py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:94608702ef6c389d32e89ff3b7a925cb5dedaf55b5d98bd0c4fb3450a8b6d1c1", size = 58794510 },
+    { url = "https://files.pythonhosted.org/packages/f7/64/4832ec26d0a7ca7a5574df265d85c6832f9a624024511fc34958227ad740/nodejs_wheel_binaries-22.13.1-py2.py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:53a40d0269689aa2eaf2e261cbe5ec256644bc56aae0201ef344b7d8f40ccc79", size = 59738596 },
+    { url = "https://files.pythonhosted.org/packages/18/cd/def29615dac250cda3d141e1c03b7153b9a027360bde0272a6768c5fae33/nodejs_wheel_binaries-22.13.1-py2.py3-none-win_amd64.whl", hash = "sha256:549371a929a29fbce8d0ab8f1b5410549946d4f1b0376a5ce635b45f6d05298f", size = 40455444 },
+    { url = "https://files.pythonhosted.org/packages/15/d7/6de2bc615203bf590ca437a5cac145b2f86d994ce329489125a0a90ba715/nodejs_wheel_binaries-22.13.1-py2.py3-none-win_arm64.whl", hash = "sha256:cf72d50d755f4e5c0709b0449de01768d96b3b1ec7aa531561415b88f179ad8b", size = 36200929 },
+]
+
 [[package]]
 name = "numpy"
 version = "2.0.2"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.10'",
+]
 sdist = { url = "https://files.pythonhosted.org/packages/a9/75/10dd1f8116a8b796cb2c737b674e02d02e80454bda953fa7e65d8c12b016/numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78", size = 18902015 }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/21/91/3495b3237510f79f5d81f2508f9f13fea78ebfdf07538fc7444badda173d/numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece", size = 21165245 },
@@ -685,12 +866,78 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cc/dc/d330a6faefd92b446ec0f0dfea4c3207bb1fef3c4771d19cf4543efd2c78/numpy-2.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a46288ec55ebbd58947d31d72be2c63cbf839f0a63b49cb755022310792a3385", size = 15828784 },
 ]
 
+[[package]]
+name = "numpy"
+version = "2.2.2"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
+    "python_full_version >= '3.10' and python_full_version < '3.12'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ec/d0/c12ddfd3a02274be06ffc71f3efc6d0e457b0409c4481596881e748cb264/numpy-2.2.2.tar.gz", hash = "sha256:ed6906f61834d687738d25988ae117683705636936cc605be0bb208b23df4d8f", size = 20233295 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/70/2a/69033dc22d981ad21325314f8357438078f5c28310a6d89fb3833030ec8a/numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7079129b64cb78bdc8d611d1fd7e8002c0a2565da6a47c4df8062349fee90e3e", size = 21215825 },
+    { url = "https://files.pythonhosted.org/packages/31/2c/39f91e00bbd3d5639b027ac48c55dc5f2992bd2b305412d26be4c830862a/numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ec6c689c61df613b783aeb21f945c4cbe6c51c28cb70aae8430577ab39f163e", size = 14354996 },
+    { url = "https://files.pythonhosted.org/packages/0a/2c/d468ebd253851af10de5b3e8f3418ebabfaab5f0337a75299fbeb8b8c17a/numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:40c7ff5da22cd391944a28c6a9c638a5eef77fcf71d6e3a79e1d9d9e82752715", size = 5393621 },
+    { url = "https://files.pythonhosted.org/packages/7f/f4/3d8a5a0da297034106c5de92be881aca7079cde6058934215a1de91334f6/numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:995f9e8181723852ca458e22de5d9b7d3ba4da3f11cc1cb113f093b271d7965a", size = 6928931 },
+    { url = "https://files.pythonhosted.org/packages/47/a7/029354ab56edd43dd3f5efbfad292b8844f98b93174f322f82353fa46efa/numpy-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b78ea78450fd96a498f50ee096f69c75379af5138f7881a51355ab0e11286c97", size = 14333157 },
+    { url = "https://files.pythonhosted.org/packages/e3/d7/11fc594838d35c43519763310c316d4fd56f8600d3fc80a8e13e325b5c5c/numpy-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3fbe72d347fbc59f94124125e73fc4976a06927ebc503ec5afbfb35f193cd957", size = 16381794 },
+    { url = "https://files.pythonhosted.org/packages/af/d4/dd9b19cd4aff9c79d3f54d17f8be815407520d3116004bc574948336981b/numpy-2.2.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8e6da5cffbbe571f93588f562ed130ea63ee206d12851b60819512dd3e1ba50d", size = 15543990 },
+    { url = "https://files.pythonhosted.org/packages/30/97/ab96b7650f27f684a9b1e46757a7294ecc50cab27701d05f146e9f779627/numpy-2.2.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:09d6a2032faf25e8d0cadde7fd6145118ac55d2740132c1d845f98721b5ebcfd", size = 18170896 },
+    { url = "https://files.pythonhosted.org/packages/81/9b/bae9618cab20db67a2ca9d711795cad29b2ca4b73034dd3b5d05b962070a/numpy-2.2.2-cp310-cp310-win32.whl", hash = "sha256:159ff6ee4c4a36a23fe01b7c3d07bd8c14cc433d9720f977fcd52c13c0098160", size = 6573458 },
+    { url = "https://files.pythonhosted.org/packages/92/9b/95678092febd14070cfb7906ea7932e71e9dd5a6ab3ee948f9ed975e905d/numpy-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:64bd6e1762cd7f0986a740fee4dff927b9ec2c5e4d9a28d056eb17d332158014", size = 12915812 },
+    { url = "https://files.pythonhosted.org/packages/21/67/32c68756eed84df181c06528ff57e09138f893c4653448c4967311e0f992/numpy-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:642199e98af1bd2b6aeb8ecf726972d238c9877b0f6e8221ee5ab945ec8a2189", size = 21220002 },
+    { url = "https://files.pythonhosted.org/packages/3b/89/f43bcad18f2b2e5814457b1c7f7b0e671d0db12c8c0e43397ab8cb1831ed/numpy-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6d9fc9d812c81e6168b6d405bf00b8d6739a7f72ef22a9214c4241e0dc70b323", size = 14391215 },
+    { url = "https://files.pythonhosted.org/packages/9c/e6/efb8cd6122bf25e86e3dd89d9dbfec9e6861c50e8810eed77d4be59b51c6/numpy-2.2.2-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:c7d1fd447e33ee20c1f33f2c8e6634211124a9aabde3c617687d8b739aa69eac", size = 5391918 },
+    { url = "https://files.pythonhosted.org/packages/47/e2/fccf89d64d9b47ffb242823d4e851fc9d36fa751908c9aac2807924d9b4e/numpy-2.2.2-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:451e854cfae0febe723077bd0cf0a4302a5d84ff25f0bfece8f29206c7bed02e", size = 6933133 },
+    { url = "https://files.pythonhosted.org/packages/34/22/5ece749c0e5420a9380eef6fbf83d16a50010bd18fef77b9193d80a6760e/numpy-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd249bc894af67cbd8bad2c22e7cbcd46cf87ddfca1f1289d1e7e54868cc785c", size = 14338187 },
+    { url = "https://files.pythonhosted.org/packages/5b/86/caec78829311f62afa6fa334c8dfcd79cffb4d24bcf96ee02ae4840d462b/numpy-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02935e2c3c0c6cbe9c7955a8efa8908dd4221d7755644c59d1bba28b94fd334f", size = 16393429 },
+    { url = "https://files.pythonhosted.org/packages/c8/4e/0c25f74c88239a37924577d6ad780f3212a50f4b4b5f54f5e8c918d726bd/numpy-2.2.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a972cec723e0563aa0823ee2ab1df0cb196ed0778f173b381c871a03719d4826", size = 15559103 },
+    { url = "https://files.pythonhosted.org/packages/d4/bd/d557f10fa50dc4d5871fb9606af563249b66af2fc6f99041a10e8757c6f1/numpy-2.2.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d6d6a0910c3b4368d89dde073e630882cdb266755565155bc33520283b2d9df8", size = 18182967 },
+    { url = "https://files.pythonhosted.org/packages/30/e9/66cc0f66386d78ed89e45a56e2a1d051e177b6e04477c4a41cd590ef4017/numpy-2.2.2-cp311-cp311-win32.whl", hash = "sha256:860fd59990c37c3ef913c3ae390b3929d005243acca1a86facb0773e2d8d9e50", size = 6571499 },
+    { url = "https://files.pythonhosted.org/packages/66/a3/4139296b481ae7304a43581046b8f0a20da6a0dfe0ee47a044cade796603/numpy-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:da1eeb460ecce8d5b8608826595c777728cdf28ce7b5a5a8c8ac8d949beadcf2", size = 12919805 },
+    { url = "https://files.pythonhosted.org/packages/0c/e6/847d15770ab7a01e807bdfcd4ead5bdae57c0092b7dc83878171b6af97bb/numpy-2.2.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ac9bea18d6d58a995fac1b2cb4488e17eceeac413af014b1dd26170b766d8467", size = 20912636 },
+    { url = "https://files.pythonhosted.org/packages/d1/af/f83580891577b13bd7e261416120e036d0d8fb508c8a43a73e38928b794b/numpy-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:23ae9f0c2d889b7b2d88a3791f6c09e2ef827c2446f1c4a3e3e76328ee4afd9a", size = 14098403 },
+    { url = "https://files.pythonhosted.org/packages/2b/86/d019fb60a9d0f1d4cf04b014fe88a9135090adfadcc31c1fadbb071d7fa7/numpy-2.2.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3074634ea4d6df66be04f6728ee1d173cfded75d002c75fac79503a880bf3825", size = 5128938 },
+    { url = "https://files.pythonhosted.org/packages/7a/1b/50985edb6f1ec495a1c36452e860476f5b7ecdc3fc59ea89ccad3c4926c5/numpy-2.2.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:8ec0636d3f7d68520afc6ac2dc4b8341ddb725039de042faf0e311599f54eb37", size = 6661937 },
+    { url = "https://files.pythonhosted.org/packages/f4/1b/17efd94cad1b9d605c3f8907fb06bcffc4ce4d1d14d46b95316cccccf2b9/numpy-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ffbb1acd69fdf8e89dd60ef6182ca90a743620957afb7066385a7bbe88dc748", size = 14049518 },
+    { url = "https://files.pythonhosted.org/packages/5b/73/65d2f0b698df1731e851e3295eb29a5ab8aa06f763f7e4188647a809578d/numpy-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0349b025e15ea9d05c3d63f9657707a4e1d471128a3b1d876c095f328f8ff7f0", size = 16099146 },
+    { url = "https://files.pythonhosted.org/packages/d5/69/308f55c0e19d4b5057b5df286c5433822e3c8039ede06d4051d96f1c2c4e/numpy-2.2.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:463247edcee4a5537841d5350bc87fe8e92d7dd0e8c71c995d2c6eecb8208278", size = 15246336 },
+    { url = "https://files.pythonhosted.org/packages/f0/d8/d8d333ad0d8518d077a21aeea7b7c826eff766a2b1ce1194dea95ca0bacf/numpy-2.2.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9dd47ff0cb2a656ad69c38da850df3454da88ee9a6fde0ba79acceee0e79daba", size = 17863507 },
+    { url = "https://files.pythonhosted.org/packages/82/6e/0b84ad3103ffc16d6673e63b5acbe7901b2af96c2837174c6318c98e27ab/numpy-2.2.2-cp312-cp312-win32.whl", hash = "sha256:4525b88c11906d5ab1b0ec1f290996c0020dd318af8b49acaa46f198b1ffc283", size = 6276491 },
+    { url = "https://files.pythonhosted.org/packages/fc/84/7f801a42a67b9772a883223a0a1e12069a14626c81a732bd70aac57aebc1/numpy-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:5acea83b801e98541619af398cc0109ff48016955cc0818f478ee9ef1c5c3dcb", size = 12616372 },
+    { url = "https://files.pythonhosted.org/packages/e1/fe/df5624001f4f5c3e0b78e9017bfab7fdc18a8d3b3d3161da3d64924dd659/numpy-2.2.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b208cfd4f5fe34e1535c08983a1a6803fdbc7a1e86cf13dd0c61de0b51a0aadc", size = 20899188 },
+    { url = "https://files.pythonhosted.org/packages/a9/80/d349c3b5ed66bd3cb0214be60c27e32b90a506946857b866838adbe84040/numpy-2.2.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d0bbe7dd86dca64854f4b6ce2ea5c60b51e36dfd597300057cf473d3615f2369", size = 14113972 },
+    { url = "https://files.pythonhosted.org/packages/9d/50/949ec9cbb28c4b751edfa64503f0913cbfa8d795b4a251e7980f13a8a655/numpy-2.2.2-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:22ea3bb552ade325530e72a0c557cdf2dea8914d3a5e1fecf58fa5dbcc6f43cd", size = 5114294 },
+    { url = "https://files.pythonhosted.org/packages/8d/f3/399c15629d5a0c68ef2aa7621d430b2be22034f01dd7f3c65a9c9666c445/numpy-2.2.2-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:128c41c085cab8a85dc29e66ed88c05613dccf6bc28b3866cd16050a2f5448be", size = 6648426 },
+    { url = "https://files.pythonhosted.org/packages/2c/03/c72474c13772e30e1bc2e558cdffd9123c7872b731263d5648b5c49dd459/numpy-2.2.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:250c16b277e3b809ac20d1f590716597481061b514223c7badb7a0f9993c7f84", size = 14045990 },
+    { url = "https://files.pythonhosted.org/packages/83/9c/96a9ab62274ffafb023f8ee08c88d3d31ee74ca58869f859db6845494fa6/numpy-2.2.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0c8854b09bc4de7b041148d8550d3bd712b5c21ff6a8ed308085f190235d7ff", size = 16096614 },
+    { url = "https://files.pythonhosted.org/packages/d5/34/cd0a735534c29bec7093544b3a509febc9b0df77718a9b41ffb0809c9f46/numpy-2.2.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:b6fb9c32a91ec32a689ec6410def76443e3c750e7cfc3fb2206b985ffb2b85f0", size = 15242123 },
+    { url = "https://files.pythonhosted.org/packages/5e/6d/541717a554a8f56fa75e91886d9b79ade2e595918690eb5d0d3dbd3accb9/numpy-2.2.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:57b4012e04cc12b78590a334907e01b3a85efb2107df2b8733ff1ed05fce71de", size = 17859160 },
+    { url = "https://files.pythonhosted.org/packages/b9/a5/fbf1f2b54adab31510728edd06a05c1b30839f37cf8c9747cb85831aaf1b/numpy-2.2.2-cp313-cp313-win32.whl", hash = "sha256:4dbd80e453bd34bd003b16bd802fac70ad76bd463f81f0c518d1245b1c55e3d9", size = 6273337 },
+    { url = "https://files.pythonhosted.org/packages/56/e5/01106b9291ef1d680f82bc47d0c5b5e26dfed15b0754928e8f856c82c881/numpy-2.2.2-cp313-cp313-win_amd64.whl", hash = "sha256:5a8c863ceacae696aff37d1fd636121f1a512117652e5dfb86031c8d84836369", size = 12609010 },
+    { url = "https://files.pythonhosted.org/packages/9f/30/f23d9876de0f08dceb707c4dcf7f8dd7588266745029debb12a3cdd40be6/numpy-2.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:b3482cb7b3325faa5f6bc179649406058253d91ceda359c104dac0ad320e1391", size = 20924451 },
+    { url = "https://files.pythonhosted.org/packages/6a/ec/6ea85b2da9d5dfa1dbb4cb3c76587fc8ddcae580cb1262303ab21c0926c4/numpy-2.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:9491100aba630910489c1d0158034e1c9a6546f0b1340f716d522dc103788e39", size = 14122390 },
+    { url = "https://files.pythonhosted.org/packages/68/05/bfbdf490414a7dbaf65b10c78bc243f312c4553234b6d91c94eb7c4b53c2/numpy-2.2.2-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:41184c416143defa34cc8eb9d070b0a5ba4f13a0fa96a709e20584638254b317", size = 5156590 },
+    { url = "https://files.pythonhosted.org/packages/f7/ec/fe2e91b2642b9d6544518388a441bcd65c904cea38d9ff998e2e8ebf808e/numpy-2.2.2-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:7dca87ca328f5ea7dafc907c5ec100d187911f94825f8700caac0b3f4c384b49", size = 6671958 },
+    { url = "https://files.pythonhosted.org/packages/b1/6f/6531a78e182f194d33ee17e59d67d03d0d5a1ce7f6be7343787828d1bd4a/numpy-2.2.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bc61b307655d1a7f9f4b043628b9f2b721e80839914ede634e3d485913e1fb2", size = 14019950 },
+    { url = "https://files.pythonhosted.org/packages/e1/fb/13c58591d0b6294a08cc40fcc6b9552d239d773d520858ae27f39997f2ae/numpy-2.2.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fad446ad0bc886855ddf5909cbf8cb5d0faa637aaa6277fb4b19ade134ab3c7", size = 16079759 },
+    { url = "https://files.pythonhosted.org/packages/2c/f2/f2f8edd62abb4b289f65a7f6d1f3650273af00b91b7267a2431be7f1aec6/numpy-2.2.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:149d1113ac15005652e8d0d3f6fd599360e1a708a4f98e43c9c77834a28238cb", size = 15226139 },
+    { url = "https://files.pythonhosted.org/packages/aa/29/14a177f1a90b8ad8a592ca32124ac06af5eff32889874e53a308f850290f/numpy-2.2.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:106397dbbb1896f99e044efc90360d098b3335060375c26aa89c0d8a97c5f648", size = 17856316 },
+    { url = "https://files.pythonhosted.org/packages/95/03/242ae8d7b97f4e0e4ab8dd51231465fb23ed5e802680d629149722e3faf1/numpy-2.2.2-cp313-cp313t-win32.whl", hash = "sha256:0eec19f8af947a61e968d5429f0bd92fec46d92b0008d0a6685b40d6adf8a4f4", size = 6329134 },
+    { url = "https://files.pythonhosted.org/packages/80/94/cd9e9b04012c015cb6320ab3bf43bc615e248dddfeb163728e800a5d96f0/numpy-2.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:97b974d3ba0fb4612b77ed35d7627490e8e3dff56ab41454d9e8b23448940576", size = 12696208 },
+    { url = "https://files.pythonhosted.org/packages/96/7e/1dd770ee68916ed358991ab62c2cc353ffd98d0b75b901d52183ca28e8bb/numpy-2.2.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:b0531f0b0e07643eb089df4c509d30d72c9ef40defa53e41363eca8a8cc61495", size = 21047291 },
+    { url = "https://files.pythonhosted.org/packages/d1/3c/ccd08578dc532a8e6927952339d4a02682b776d5e85be49ed0760308433e/numpy-2.2.2-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:e9e82dcb3f2ebbc8cb5ce1102d5f1c5ed236bf8a11730fb45ba82e2841ec21df", size = 6792494 },
+    { url = "https://files.pythonhosted.org/packages/7c/28/8754b9aee4f97199f9a047f73bb644b5a2014994a6d7b061ba67134a42de/numpy-2.2.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0d4142eb40ca6f94539e4db929410f2a46052a0fe7a2c1c59f6179c39938d2a", size = 16197312 },
+    { url = "https://files.pythonhosted.org/packages/26/96/deb93f871f401045a684ca08a009382b247d14996d7a94fea6aa43c67b94/numpy-2.2.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:356ca982c188acbfa6af0d694284d8cf20e95b1c3d0aefa8929376fea9146f60", size = 12822674 },
+]
+
 [[package]]
 name = "nvidia-cublas-cu12"
 version = "12.4.5.8"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7f/7f/7fbae15a3982dc9595e49ce0f19332423b260045d0a6afe93cdbe2f1f624/nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f8aa1706812e00b9f19dfe0cdb3999b092ccb8ca168c0db5b8ea712456fd9b3", size = 363333771 },
     { url = "https://files.pythonhosted.org/packages/ae/71/1c91302526c45ab494c23f61c7a84aa568b8c1f9d196efa5993957faf906/nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:2fc8da60df463fdefa81e323eef2e36489e1c94335b5358bcb38360adf75ac9b", size = 363438805 },
 ]
 
@@ -699,7 +946,6 @@ name = "nvidia-cuda-cupti-cu12"
 version = "12.4.127"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/93/b5/9fb3d00386d3361b03874246190dfec7b206fd74e6e287b26a8fcb359d95/nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:79279b35cf6f91da114182a5ce1864997fd52294a87a16179ce275773799458a", size = 12354556 },
     { url = "https://files.pythonhosted.org/packages/67/42/f4f60238e8194a3106d06a058d494b18e006c10bb2b915655bd9f6ea4cb1/nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9dec60f5ac126f7bb551c055072b69d85392b13311fcc1bcda2202d172df30fb", size = 13813957 },
 ]
 
@@ -708,7 +954,6 @@ name = "nvidia-cuda-nvrtc-cu12"
 version = "12.4.127"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/77/aa/083b01c427e963ad0b314040565ea396f914349914c298556484f799e61b/nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198", size = 24133372 },
     { url = "https://files.pythonhosted.org/packages/2c/14/91ae57cd4db3f9ef7aa99f4019cfa8d54cb4caa7e00975df6467e9725a9f/nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a178759ebb095827bd30ef56598ec182b85547f1508941a3d560eb7ea1fbf338", size = 24640306 },
 ]
 
@@ -717,7 +962,6 @@ name = "nvidia-cuda-runtime-cu12"
 version = "12.4.127"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a1/aa/b656d755f474e2084971e9a297def515938d56b466ab39624012070cb773/nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3", size = 894177 },
     { url = "https://files.pythonhosted.org/packages/ea/27/1795d86fe88ef397885f2e580ac37628ed058a92ed2c39dc8eac3adf0619/nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5", size = 883737 },
 ]
 
@@ -740,7 +984,6 @@ dependencies = [
     { name = "nvidia-nvjitlink-cu12" },
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7a/8a/0e728f749baca3fbeffad762738276e5df60851958be7783af121a7221e7/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399", size = 211422548 },
     { url = "https://files.pythonhosted.org/packages/27/94/3266821f65b92b3138631e9c8e7fe1fb513804ac934485a8d05776e1dd43/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9", size = 211459117 },
 ]
 
@@ -749,7 +992,6 @@ name = "nvidia-curand-cu12"
 version = "10.3.5.147"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/80/9c/a79180e4d70995fdf030c6946991d0171555c6edf95c265c6b2bf7011112/nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9", size = 56314811 },
     { url = "https://files.pythonhosted.org/packages/8a/6d/44ad094874c6f1b9c654f8ed939590bdc408349f137f9b98a3a23ccec411/nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b", size = 56305206 },
 ]
 
@@ -763,7 +1005,6 @@ dependencies = [
     { name = "nvidia-nvjitlink-cu12" },
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/46/6b/a5c33cf16af09166845345275c34ad2190944bcc6026797a39f8e0a282e0/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e", size = 127634111 },
     { url = "https://files.pythonhosted.org/packages/3a/e1/5b9089a4b2a4790dfdea8b3a006052cfecff58139d5a4e34cb1a51df8d6f/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260", size = 127936057 },
 ]
 
@@ -775,10 +1016,17 @@ dependencies = [
     { name = "nvidia-nvjitlink-cu12" },
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/96/a9/c0d2f83a53d40a4a41be14cea6a0bf9e668ffcf8b004bd65633f433050c0/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3", size = 207381987 },
     { url = "https://files.pythonhosted.org/packages/db/f7/97a9ea26ed4bbbfc2d470994b8b4f338ef663be97b8f677519ac195e113d/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1", size = 207454763 },
 ]
 
+[[package]]
+name = "nvidia-cusparselt-cu12"
+version = "0.6.2"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/a8/bcbb63b53a4b1234feeafb65544ee55495e1bb37ec31b999b963cbccfd1d/nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:df2c24502fd76ebafe7457dbc4716b2fec071aabaed4fb7691a201cde03704d9", size = 150057751 },
+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
 version = "2.21.5"
@@ -792,7 +1040,6 @@ name = "nvidia-nvjitlink-cu12"
 version = "12.4.127"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/02/45/239d52c05074898a80a900f49b1615d81c07fceadd5ad6c4f86a987c0bc4/nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83", size = 20552510 },
     { url = "https://files.pythonhosted.org/packages/ff/ff/847841bacfbefc97a00036e0fce5a0f086b640756dc38caea5e1bb002655/nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57", size = 21066810 },
 ]
 
@@ -801,7 +1048,6 @@ name = "nvidia-nvtx-cu12"
 version = "12.4.127"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/06/39/471f581edbb7804b39e8063d92fc8305bdc7a80ae5c07dbe6ea5c50d14a5/nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3", size = 100417 },
     { url = "https://files.pythonhosted.org/packages/87/20/199b8713428322a2f22b722c62b8cc278cc53dffa9705d744484b5035ee9/nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a", size = 99144 },
 ]
 
@@ -816,25 +1062,25 @@ wheels = [
 
 [[package]]
 name = "paramiko"
-version = "3.5.0"
+version = "3.5.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "bcrypt" },
     { name = "cryptography" },
     { name = "pynacl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1b/0f/c00296e36ff7485935b83d466c4f2cf5934b84b0ad14e81796e1d9d3609b/paramiko-3.5.0.tar.gz", hash = "sha256:ad11e540da4f55cedda52931f1a3f812a8238a7af7f62a60de538cd80bb28124", size = 1704305 }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/15/ad6ce226e8138315f2451c2aeea985bf35ee910afb477bae7477dc3a8f3b/paramiko-3.5.1.tar.gz", hash = "sha256:b2c665bc45b2b215bd7d7f039901b14b067da00f3a11e6640995fd58f2664822", size = 1566110 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1f/66/14b2c030fcce69cba482d205c2d1462ca5c77303a263260dcb1192801c85/paramiko-3.5.0-py3-none-any.whl", hash = "sha256:1fedf06b085359051cd7d0d270cebe19e755a8a921cc2ddbfa647fb0cd7d68f9", size = 227143 },
+    { url = "https://files.pythonhosted.org/packages/15/f8/c7bd0ef12954a81a1d3cea60a13946bd9a49a0036a5927770c461eade7ae/paramiko-3.5.1-py3-none-any.whl", hash = "sha256:43b9a0501fc2b5e70680388d9346cf252cfb7d00b0667c39e80eb43a408b8f61", size = 227298 },
 ]
 
 [[package]]
-name = "pkginfo"
-version = "1.10.0"
+name = "platformdirs"
+version = "4.3.6"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/2f/72/347ec5be4adc85c182ed2823d8d1c7b51e13b9a6b0c1aae59582eca652df/pkginfo-1.10.0.tar.gz", hash = "sha256:5df73835398d10db79f8eecd5cd86b1f6d29317589ea70796994d49399af6297", size = 378457 }
+sdist = { url = "https://files.pythonhosted.org/packages/13/fc/128cc9cb8f03208bdbf93d3aa862e16d376844a14f9a0ce5cf4507372de4/platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907", size = 21302 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/56/09/054aea9b7534a15ad38a363a2bd974c20646ab1582a387a95b8df1bfea1c/pkginfo-1.10.0-py3-none-any.whl", hash = "sha256:889a6da2ed7ffc58ab5b900d888ddce90bce912f2d2de1dc1c26f4cb9fe65097", size = 30392 },
+    { url = "https://files.pythonhosted.org/packages/3c/a6/bc1012356d8ece4d66dd75c4b9fc6c1f6650ddd5991e421177d9f8f671be/platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb", size = 18439 },
 ]
 
 [[package]]
@@ -857,11 +1103,11 @@ wheels = [
 
 [[package]]
 name = "pygments"
-version = "2.18.0"
+version = "2.19.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/8e/62/8336eff65bcbc8e4cb5d05b55faf041285951b6e80f33e2bff2024788f31/pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199", size = 4891905 }
+sdist = { url = "https://files.pythonhosted.org/packages/7c/2d/c3338d48ea6cc0feb8446d8e6937e1408088a72a39937982cc6111d17f84/pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f", size = 4968581 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f7/3f/01c8b82017c199075f8f788d0d906b9ffbbc5a47dc9918a945e13d5a2bda/pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a", size = 1205513 },
+    { url = "https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c", size = 1225293 },
 ]
 
 [[package]]
@@ -884,31 +1130,27 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/5e/22/d3db169895faaf3e2eda892f005f433a62db2decbcfbc2f61e6517adfa87/PyNaCl-1.5.0-cp36-abi3-win_amd64.whl", hash = "sha256:20f42270d27e1b6a29f54032090b972d97f0a1b0948cc52392041ef7831fee93", size = 212141 },
 ]
 
-[[package]]
-name = "pyproject-hooks"
-version = "1.2.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e7/82/28175b2414effca1cdac8dc99f76d660e7a4fb0ceefa4b4ab8f5f6742925/pyproject_hooks-1.2.0.tar.gz", hash = "sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8", size = 19228 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/bd/24/12818598c362d7f300f18e74db45963dbcb85150324092410c8b49405e42/pyproject_hooks-1.2.0-py3-none-any.whl", hash = "sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913", size = 10216 },
-]
-
 [[package]]
 name = "pyright"
-version = "1.1.388"
+version = "1.1.393"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "nodeenv" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/9c/83/e9867538a794638d2d20ac3ab3106a31aca1d9cfea530c9b2921809dae03/pyright-1.1.388.tar.gz", hash = "sha256:0166d19b716b77fd2d9055de29f71d844874dbc6b9d3472ccd22df91db3dfa34", size = 21939 }
+sdist = { url = "https://files.pythonhosted.org/packages/f4/c1/aede6c74e664ab103673e4f1b7fd3d058fef32276be5c43572f4067d4a8e/pyright-1.1.393.tar.gz", hash = "sha256:aeeb7ff4e0364775ef416a80111613f91a05c8e01e58ecfefc370ca0db7aed9c", size = 3790430 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/03/57/7fb00363b7f267a398c5bdf4f55f3e64f7c2076b2e7d2901b3373d52b6ff/pyright-1.1.388-py3-none-any.whl", hash = "sha256:c7068e9f2c23539c6ac35fc9efac6c6c1b9aa5a0ce97a9a8a6cf0090d7cbf84c", size = 18579 },
+    { url = "https://files.pythonhosted.org/packages/92/47/f0dd0f8afce13d92e406421ecac6df0990daee84335fc36717678577d3e0/pyright-1.1.393-py3-none-any.whl", hash = "sha256:8320629bb7a44ca90944ba599390162bf59307f3d9fb6e27da3b7011b8c17ae5", size = 5646057 },
+]
+
+[package.optional-dependencies]
+nodejs = [
+    { name = "nodejs-wheel-binaries" },
 ]
 
 [[package]]
 name = "pytest"
-version = "8.3.3"
+version = "8.3.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
@@ -918,18 +1160,9 @@ dependencies = [
     { name = "pluggy" },
     { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8b/6c/62bbd536103af674e227c41a8f3dcd022d591f6eed5facb5a0f31ee33bbc/pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181", size = 1442487 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/6b/77/7440a06a8ead44c7757a64362dd22df5760f9b12dc5f11b6188cd2fc27a0/pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2", size = 342341 },
-]
-
-[[package]]
-name = "pywin32-ctypes"
-version = "0.2.3"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/85/9f/01a1a99704853cb63f253eea009390c88e7131c67e66a0a02099a8c917cb/pywin32-ctypes-0.2.3.tar.gz", hash = "sha256:d162dc04946d704503b2edc4d55f3dba5c1d539ead017afa00142c38b9885755", size = 29471 }
+sdist = { url = "https://files.pythonhosted.org/packages/05/35/30e0d83068951d90a01852cb1cef56e5d8a09d20c7f511634cc2f7e0372a/pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761", size = 1445919 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/de/3d/8161f7711c017e01ac9f008dfddd9410dff3674334c233bde66e7ba65bbf/pywin32_ctypes-0.2.3-py3-none-any.whl", hash = "sha256:8a1513379d709975552d202d942d9837758905c8d01eb82b8bcc30918929e7b8", size = 30756 },
+    { url = "https://files.pythonhosted.org/packages/11/92/76a1c94d3afee238333bc0a42b82935dd8f9cf8ce9e336ff87ee14d9e1cf/pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6", size = 343083 },
 ]
 
 [[package]]
@@ -985,20 +1218,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/19/87/5124b1c1f2412bb95c59ec481eaf936cd32f0fe2a7b16b97b81c4c017a6a/PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8", size = 162312 },
 ]
 
-[[package]]
-name = "readme-renderer"
-version = "44.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "docutils" },
-    { name = "nh3" },
-    { name = "pygments" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/5a/a9/104ec9234c8448c4379768221ea6df01260cd6c2ce13182d4eac531c8342/readme_renderer-44.0.tar.gz", hash = "sha256:8712034eabbfa6805cacf1402b4eeb2a73028f72d1166d6f5cb7f9c047c5d1e1", size = 32056 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/e1/67/921ec3024056483db83953ae8e48079ad62b92db7880013ca77632921dd0/readme_renderer-44.0-py3-none-any.whl", hash = "sha256:2fbca89b81a08526aadf1357a8c2ae889ec05fb03f5da67f9769c9a592166151", size = 13310 },
-]
-
 [[package]]
 name = "regex"
 version = "2024.11.6"
@@ -1100,165 +1319,337 @@ wheels = [
 ]
 
 [[package]]
-name = "requests-toolbelt"
-version = "1.0.0"
+name = "ruamel-yaml"
+version = "0.18.10"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
+    { name = "ruamel-yaml-clib", marker = "python_full_version < '3.13' and platform_python_implementation == 'CPython'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ea/46/f44d8be06b85bc7c4d8c95d658be2b68f27711f279bf9dd0612a5e4794f5/ruamel.yaml-0.18.10.tar.gz", hash = "sha256:20c86ab29ac2153f80a428e1254a8adf686d3383df04490514ca3b79a362db58", size = 143447 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c2/36/dfc1ebc0081e6d39924a2cc53654497f967a084a436bb64402dfce4254d9/ruamel.yaml-0.18.10-py3-none-any.whl", hash = "sha256:30f22513ab2301b3d2b577adc121c6471f28734d3d9728581245f1e76468b4f1", size = 117729 },
+]
+
+[[package]]
+name = "ruamel-yaml-clib"
+version = "0.2.12"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/84/80203abff8ea4993a87d823a5f632e4d92831ef75d404c9fc78d0176d2b5/ruamel.yaml.clib-0.2.12.tar.gz", hash = "sha256:6c8fbb13ec503f99a91901ab46e0b07ae7941cd527393187039aec586fdfd36f", size = 225315 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/70/57/40a958e863e299f0c74ef32a3bde9f2d1ea8d69669368c0c502a0997f57f/ruamel.yaml.clib-0.2.12-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:11f891336688faf5156a36293a9c362bdc7c88f03a8a027c2c1d8e0bcde998e5", size = 131301 },
+    { url = "https://files.pythonhosted.org/packages/98/a8/29a3eb437b12b95f50a6bcc3d7d7214301c6c529d8fdc227247fa84162b5/ruamel.yaml.clib-0.2.12-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:a606ef75a60ecf3d924613892cc603b154178ee25abb3055db5062da811fd969", size = 633728 },
+    { url = "https://files.pythonhosted.org/packages/35/6d/ae05a87a3ad540259c3ad88d71275cbd1c0f2d30ae04c65dcbfb6dcd4b9f/ruamel.yaml.clib-0.2.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd5415dded15c3822597455bc02bcd66e81ef8b7a48cb71a33628fc9fdde39df", size = 722230 },
+    { url = "https://files.pythonhosted.org/packages/7f/b7/20c6f3c0b656fe609675d69bc135c03aac9e3865912444be6339207b6648/ruamel.yaml.clib-0.2.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f66efbc1caa63c088dead1c4170d148eabc9b80d95fb75b6c92ac0aad2437d76", size = 686712 },
+    { url = "https://files.pythonhosted.org/packages/cd/11/d12dbf683471f888d354dac59593873c2b45feb193c5e3e0f2ebf85e68b9/ruamel.yaml.clib-0.2.12-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:22353049ba4181685023b25b5b51a574bce33e7f51c759371a7422dcae5402a6", size = 663936 },
+    { url = "https://files.pythonhosted.org/packages/72/14/4c268f5077db5c83f743ee1daeb236269fa8577133a5cfa49f8b382baf13/ruamel.yaml.clib-0.2.12-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:932205970b9f9991b34f55136be327501903f7c66830e9760a8ffb15b07f05cd", size = 696580 },
+    { url = "https://files.pythonhosted.org/packages/30/fc/8cd12f189c6405a4c1cf37bd633aa740a9538c8e40497c231072d0fef5cf/ruamel.yaml.clib-0.2.12-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a52d48f4e7bf9005e8f0a89209bf9a73f7190ddf0489eee5eb51377385f59f2a", size = 663393 },
+    { url = "https://files.pythonhosted.org/packages/80/29/c0a017b704aaf3cbf704989785cd9c5d5b8ccec2dae6ac0c53833c84e677/ruamel.yaml.clib-0.2.12-cp310-cp310-win32.whl", hash = "sha256:3eac5a91891ceb88138c113f9db04f3cebdae277f5d44eaa3651a4f573e6a5da", size = 100326 },
+    { url = "https://files.pythonhosted.org/packages/3a/65/fa39d74db4e2d0cd252355732d966a460a41cd01c6353b820a0952432839/ruamel.yaml.clib-0.2.12-cp310-cp310-win_amd64.whl", hash = "sha256:ab007f2f5a87bd08ab1499bdf96f3d5c6ad4dcfa364884cb4549aa0154b13a28", size = 118079 },
+    { url = "https://files.pythonhosted.org/packages/fb/8f/683c6ad562f558cbc4f7c029abcd9599148c51c54b5ef0f24f2638da9fbb/ruamel.yaml.clib-0.2.12-cp311-cp311-macosx_13_0_arm64.whl", hash = "sha256:4a6679521a58256a90b0d89e03992c15144c5f3858f40d7c18886023d7943db6", size = 132224 },
+    { url = "https://files.pythonhosted.org/packages/3c/d2/b79b7d695e2f21da020bd44c782490578f300dd44f0a4c57a92575758a76/ruamel.yaml.clib-0.2.12-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:d84318609196d6bd6da0edfa25cedfbabd8dbde5140a0a23af29ad4b8f91fb1e", size = 641480 },
+    { url = "https://files.pythonhosted.org/packages/68/6e/264c50ce2a31473a9fdbf4fa66ca9b2b17c7455b31ef585462343818bd6c/ruamel.yaml.clib-0.2.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb43a269eb827806502c7c8efb7ae7e9e9d0573257a46e8e952f4d4caba4f31e", size = 739068 },
+    { url = "https://files.pythonhosted.org/packages/86/29/88c2567bc893c84d88b4c48027367c3562ae69121d568e8a3f3a8d363f4d/ruamel.yaml.clib-0.2.12-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:811ea1594b8a0fb466172c384267a4e5e367298af6b228931f273b111f17ef52", size = 703012 },
+    { url = "https://files.pythonhosted.org/packages/11/46/879763c619b5470820f0cd6ca97d134771e502776bc2b844d2adb6e37753/ruamel.yaml.clib-0.2.12-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cf12567a7b565cbf65d438dec6cfbe2917d3c1bdddfce84a9930b7d35ea59642", size = 704352 },
+    { url = "https://files.pythonhosted.org/packages/02/80/ece7e6034256a4186bbe50dee28cd032d816974941a6abf6a9d65e4228a7/ruamel.yaml.clib-0.2.12-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7dd5adc8b930b12c8fc5b99e2d535a09889941aa0d0bd06f4749e9a9397c71d2", size = 737344 },
+    { url = "https://files.pythonhosted.org/packages/f0/ca/e4106ac7e80efbabdf4bf91d3d32fc424e41418458251712f5672eada9ce/ruamel.yaml.clib-0.2.12-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1492a6051dab8d912fc2adeef0e8c72216b24d57bd896ea607cb90bb0c4981d3", size = 714498 },
+    { url = "https://files.pythonhosted.org/packages/67/58/b1f60a1d591b771298ffa0428237afb092c7f29ae23bad93420b1eb10703/ruamel.yaml.clib-0.2.12-cp311-cp311-win32.whl", hash = "sha256:bd0a08f0bab19093c54e18a14a10b4322e1eacc5217056f3c063bd2f59853ce4", size = 100205 },
+    { url = "https://files.pythonhosted.org/packages/b4/4f/b52f634c9548a9291a70dfce26ca7ebce388235c93588a1068028ea23fcc/ruamel.yaml.clib-0.2.12-cp311-cp311-win_amd64.whl", hash = "sha256:a274fb2cb086c7a3dea4322ec27f4cb5cc4b6298adb583ab0e211a4682f241eb", size = 118185 },
+    { url = "https://files.pythonhosted.org/packages/48/41/e7a405afbdc26af961678474a55373e1b323605a4f5e2ddd4a80ea80f628/ruamel.yaml.clib-0.2.12-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:20b0f8dc160ba83b6dcc0e256846e1a02d044e13f7ea74a3d1d56ede4e48c632", size = 133433 },
+    { url = "https://files.pythonhosted.org/packages/ec/b0/b850385604334c2ce90e3ee1013bd911aedf058a934905863a6ea95e9eb4/ruamel.yaml.clib-0.2.12-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:943f32bc9dedb3abff9879edc134901df92cfce2c3d5c9348f172f62eb2d771d", size = 647362 },
+    { url = "https://files.pythonhosted.org/packages/44/d0/3f68a86e006448fb6c005aee66565b9eb89014a70c491d70c08de597f8e4/ruamel.yaml.clib-0.2.12-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95c3829bb364fdb8e0332c9931ecf57d9be3519241323c5274bd82f709cebc0c", size = 754118 },
+    { url = "https://files.pythonhosted.org/packages/52/a9/d39f3c5ada0a3bb2870d7db41901125dbe2434fa4f12ca8c5b83a42d7c53/ruamel.yaml.clib-0.2.12-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:749c16fcc4a2b09f28843cda5a193e0283e47454b63ec4b81eaa2242f50e4ccd", size = 706497 },
+    { url = "https://files.pythonhosted.org/packages/b0/fa/097e38135dadd9ac25aecf2a54be17ddf6e4c23e43d538492a90ab3d71c6/ruamel.yaml.clib-0.2.12-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bf165fef1f223beae7333275156ab2022cffe255dcc51c27f066b4370da81e31", size = 698042 },
+    { url = "https://files.pythonhosted.org/packages/ec/d5/a659ca6f503b9379b930f13bc6b130c9f176469b73b9834296822a83a132/ruamel.yaml.clib-0.2.12-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:32621c177bbf782ca5a18ba4d7af0f1082a3f6e517ac2a18b3974d4edf349680", size = 745831 },
+    { url = "https://files.pythonhosted.org/packages/db/5d/36619b61ffa2429eeaefaab4f3374666adf36ad8ac6330d855848d7d36fd/ruamel.yaml.clib-0.2.12-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b82a7c94a498853aa0b272fd5bc67f29008da798d4f93a2f9f289feb8426a58d", size = 715692 },
+    { url = "https://files.pythonhosted.org/packages/b1/82/85cb92f15a4231c89b95dfe08b09eb6adca929ef7df7e17ab59902b6f589/ruamel.yaml.clib-0.2.12-cp312-cp312-win32.whl", hash = "sha256:e8c4ebfcfd57177b572e2040777b8abc537cdef58a2120e830124946aa9b42c5", size = 98777 },
+    { url = "https://files.pythonhosted.org/packages/d7/8f/c3654f6f1ddb75daf3922c3d8fc6005b1ab56671ad56ffb874d908bfa668/ruamel.yaml.clib-0.2.12-cp312-cp312-win_amd64.whl", hash = "sha256:0467c5965282c62203273b838ae77c0d29d7638c8a4e3a1c8bdd3602c10904e4", size = 115523 },
+    { url = "https://files.pythonhosted.org/packages/29/00/4864119668d71a5fa45678f380b5923ff410701565821925c69780356ffa/ruamel.yaml.clib-0.2.12-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:4c8c5d82f50bb53986a5e02d1b3092b03622c02c2eb78e29bec33fd9593bae1a", size = 132011 },
+    { url = "https://files.pythonhosted.org/packages/7f/5e/212f473a93ae78c669ffa0cb051e3fee1139cb2d385d2ae1653d64281507/ruamel.yaml.clib-0.2.12-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:e7e3736715fbf53e9be2a79eb4db68e4ed857017344d697e8b9749444ae57475", size = 642488 },
+    { url = "https://files.pythonhosted.org/packages/1f/8f/ecfbe2123ade605c49ef769788f79c38ddb1c8fa81e01f4dbf5cf1a44b16/ruamel.yaml.clib-0.2.12-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b7e75b4965e1d4690e93021adfcecccbca7d61c7bddd8e22406ef2ff20d74ef", size = 745066 },
+    { url = "https://files.pythonhosted.org/packages/e2/a9/28f60726d29dfc01b8decdb385de4ced2ced9faeb37a847bd5cf26836815/ruamel.yaml.clib-0.2.12-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:96777d473c05ee3e5e3c3e999f5d23c6f4ec5b0c38c098b3a5229085f74236c6", size = 701785 },
+    { url = "https://files.pythonhosted.org/packages/84/7e/8e7ec45920daa7f76046578e4f677a3215fe8f18ee30a9cb7627a19d9b4c/ruamel.yaml.clib-0.2.12-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:3bc2a80e6420ca8b7d3590791e2dfc709c88ab9152c00eeb511c9875ce5778bf", size = 693017 },
+    { url = "https://files.pythonhosted.org/packages/c5/b3/d650eaade4ca225f02a648321e1ab835b9d361c60d51150bac49063b83fa/ruamel.yaml.clib-0.2.12-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:e188d2699864c11c36cdfdada94d781fd5d6b0071cd9c427bceb08ad3d7c70e1", size = 741270 },
+    { url = "https://files.pythonhosted.org/packages/87/b8/01c29b924dcbbed75cc45b30c30d565d763b9c4d540545a0eeecffb8f09c/ruamel.yaml.clib-0.2.12-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4f6f3eac23941b32afccc23081e1f50612bdbe4e982012ef4f5797986828cd01", size = 709059 },
+    { url = "https://files.pythonhosted.org/packages/30/8c/ed73f047a73638257aa9377ad356bea4d96125b305c34a28766f4445cc0f/ruamel.yaml.clib-0.2.12-cp313-cp313-win32.whl", hash = "sha256:6442cb36270b3afb1b4951f060eccca1ce49f3d087ca1ca4563a6eb479cb3de6", size = 98583 },
+    { url = "https://files.pythonhosted.org/packages/b0/85/e8e751d8791564dd333d5d9a4eab0a7a115f7e349595417fd50ecae3395c/ruamel.yaml.clib-0.2.12-cp313-cp313-win_amd64.whl", hash = "sha256:e5b8daf27af0b90da7bb903a876477a9e6d7270be6146906b276605997c7e9a3", size = 115190 },
+    { url = "https://files.pythonhosted.org/packages/e5/46/ccdef7a84ad745c37cb3d9a81790f28fbc9adf9c237dba682017b123294e/ruamel.yaml.clib-0.2.12-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:fc4b630cd3fa2cf7fce38afa91d7cfe844a9f75d7f0f36393fa98815e911d987", size = 131834 },
+    { url = "https://files.pythonhosted.org/packages/29/09/932360f30ad1b7b79f08757e0a6fb8c5392a52cdcc182779158fe66d25ac/ruamel.yaml.clib-0.2.12-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:bc5f1e1c28e966d61d2519f2a3d451ba989f9ea0f2307de7bc45baa526de9e45", size = 636120 },
+    { url = "https://files.pythonhosted.org/packages/a2/2a/5b27602e7a4344c1334e26bf4739746206b7a60a8acdba33a61473468b73/ruamel.yaml.clib-0.2.12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a0e060aace4c24dcaf71023bbd7d42674e3b230f7e7b97317baf1e953e5b519", size = 724914 },
+    { url = "https://files.pythonhosted.org/packages/da/1c/23497017c554fc06ff5701b29355522cff850f626337fff35d9ab352cb18/ruamel.yaml.clib-0.2.12-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2f1c3765db32be59d18ab3953f43ab62a761327aafc1594a2a1fbe038b8b8a7", size = 689072 },
+    { url = "https://files.pythonhosted.org/packages/68/e6/f3d4ff3223f9ea49c3b7169ec0268e42bd49f87c70c0e3e853895e4a7ae2/ruamel.yaml.clib-0.2.12-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:d85252669dc32f98ebcd5d36768f5d4faeaeaa2d655ac0473be490ecdae3c285", size = 667091 },
+    { url = "https://files.pythonhosted.org/packages/84/62/ead07043527642491e5011b143f44b81ef80f1025a96069b7210e0f2f0f3/ruamel.yaml.clib-0.2.12-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e143ada795c341b56de9418c58d028989093ee611aa27ffb9b7f609c00d813ed", size = 699111 },
+    { url = "https://files.pythonhosted.org/packages/52/b3/fe4d84446f7e4887e3bea7ceff0a7df23790b5ed625f830e79ace88ebefb/ruamel.yaml.clib-0.2.12-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:2c59aa6170b990d8d2719323e628aaf36f3bfbc1c26279c0eeeb24d05d2d11c7", size = 666365 },
+    { url = "https://files.pythonhosted.org/packages/6e/b3/7feb99a00bfaa5c6868617bb7651308afde85e5a0b23cd187fe5de65feeb/ruamel.yaml.clib-0.2.12-cp39-cp39-win32.whl", hash = "sha256:beffaed67936fbbeffd10966a4eb53c402fafd3d6833770516bf7314bc6ffa12", size = 100863 },
+    { url = "https://files.pythonhosted.org/packages/93/07/de635108684b7a5bb06e432b0930c5a04b6c59efe73bd966d8db3cc208f2/ruamel.yaml.clib-0.2.12-cp39-cp39-win_amd64.whl", hash = "sha256:040ae85536960525ea62868b642bdb0c2cc6021c9f9d507810c0c604e66f5a7b", size = 118653 },
+]
+
+[[package]]
+name = "ruff"
+version = "0.9.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/02/74/6c359f6b9ed85b88df6ef31febce18faeb852f6c9855651dfb1184a46845/ruff-0.9.5.tar.gz", hash = "sha256:11aecd7a633932875ab3cb05a484c99970b9d52606ce9ea912b690b02653d56c", size = 3634177 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/17/4b/82b7c9ac874e72b82b19fd7eab57d122e2df44d2478d90825854f9232d02/ruff-0.9.5-py3-none-linux_armv6l.whl", hash = "sha256:d466d2abc05f39018d53f681fa1c0ffe9570e6d73cde1b65d23bb557c846f442", size = 11681264 },
+    { url = "https://files.pythonhosted.org/packages/27/5c/f5ae0a9564e04108c132e1139d60491c0abc621397fe79a50b3dc0bd704b/ruff-0.9.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:38840dbcef63948657fa7605ca363194d2fe8c26ce8f9ae12eee7f098c85ac8a", size = 11657554 },
+    { url = "https://files.pythonhosted.org/packages/2a/83/c6926fa3ccb97cdb3c438bb56a490b395770c750bf59f9bc1fe57ae88264/ruff-0.9.5-py3-none-macosx_11_0_arm64.whl", hash = "sha256:d56ba06da53536b575fbd2b56517f6f95774ff7be0f62c80b9e67430391eeb36", size = 11088959 },
+    { url = "https://files.pythonhosted.org/packages/af/a7/42d1832b752fe969ffdbfcb1b4cb477cb271bed5835110fb0a16ef31ab81/ruff-0.9.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f7cb2a01da08244c50b20ccfaeb5972e4228c3c3a1989d3ece2bc4b1f996001", size = 11902041 },
+    { url = "https://files.pythonhosted.org/packages/53/cf/1fffa09fb518d646f560ccfba59f91b23c731e461d6a4dedd21a393a1ff1/ruff-0.9.5-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:96d5c76358419bc63a671caac70c18732d4fd0341646ecd01641ddda5c39ca0b", size = 11421069 },
+    { url = "https://files.pythonhosted.org/packages/09/27/bb8f1b7304e2a9431f631ae7eadc35550fe0cf620a2a6a0fc4aa3d736f94/ruff-0.9.5-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:deb8304636ed394211f3a6d46c0e7d9535b016f53adaa8340139859b2359a070", size = 12625095 },
+    { url = "https://files.pythonhosted.org/packages/d7/ce/ab00bc9d3df35a5f1b64f5117458160a009f93ae5caf65894ebb63a1842d/ruff-0.9.5-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:df455000bf59e62b3e8c7ba5ed88a4a2bc64896f900f311dc23ff2dc38156440", size = 13257797 },
+    { url = "https://files.pythonhosted.org/packages/88/81/c639a082ae6d8392bc52256058ec60f493c6a4d06d5505bccface3767e61/ruff-0.9.5-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de92170dfa50c32a2b8206a647949590e752aca8100a0f6b8cefa02ae29dce80", size = 12763793 },
+    { url = "https://files.pythonhosted.org/packages/b3/d0/0a3d8f56d1e49af466dc770eeec5c125977ba9479af92e484b5b0251ce9c/ruff-0.9.5-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d28532d73b1f3f627ba88e1456f50748b37f3a345d2be76e4c653bec6c3e393", size = 14386234 },
+    { url = "https://files.pythonhosted.org/packages/04/70/e59c192a3ad476355e7f45fb3a87326f5219cc7c472e6b040c6c6595c8f0/ruff-0.9.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c746d7d1df64f31d90503ece5cc34d7007c06751a7a3bbeee10e5f2463d52d2", size = 12437505 },
+    { url = "https://files.pythonhosted.org/packages/55/4e/3abba60a259d79c391713e7a6ccabf7e2c96e5e0a19100bc4204f1a43a51/ruff-0.9.5-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:11417521d6f2d121fda376f0d2169fb529976c544d653d1d6044f4c5562516ee", size = 11884799 },
+    { url = "https://files.pythonhosted.org/packages/a3/db/b0183a01a9f25b4efcae919c18fb41d32f985676c917008620ad692b9d5f/ruff-0.9.5-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:5b9d71c3879eb32de700f2f6fac3d46566f644a91d3130119a6378f9312a38e1", size = 11527411 },
+    { url = "https://files.pythonhosted.org/packages/0a/e4/3ebfcebca3dff1559a74c6becff76e0b64689cea02b7aab15b8b32ea245d/ruff-0.9.5-py3-none-musllinux_1_2_i686.whl", hash = "sha256:2e36c61145e70febcb78483903c43444c6b9d40f6d2f800b5552fec6e4a7bb9a", size = 12078868 },
+    { url = "https://files.pythonhosted.org/packages/ec/b2/5ab808833e06c0a1b0d046a51c06ec5687b73c78b116e8d77687dc0cd515/ruff-0.9.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:2f71d09aeba026c922aa7aa19a08d7bd27c867aedb2f74285a2639644c1c12f5", size = 12524374 },
+    { url = "https://files.pythonhosted.org/packages/e0/51/1432afcc3b7aa6586c480142caae5323d59750925c3559688f2a9867343f/ruff-0.9.5-py3-none-win32.whl", hash = "sha256:134f958d52aa6fdec3b294b8ebe2320a950d10c041473c4316d2e7d7c2544723", size = 9853682 },
+    { url = "https://files.pythonhosted.org/packages/b7/ad/c7a900591bd152bb47fc4882a27654ea55c7973e6d5d6396298ad3fd6638/ruff-0.9.5-py3-none-win_amd64.whl", hash = "sha256:78cc6067f6d80b6745b67498fb84e87d32c6fc34992b52bffefbdae3442967d6", size = 10865744 },
+    { url = "https://files.pythonhosted.org/packages/75/d9/fde7610abd53c0c76b6af72fc679cb377b27c617ba704e25da834e0a0608/ruff-0.9.5-py3-none-win_arm64.whl", hash = "sha256:18a29f1a005bddb229e580795627d297dfa99f16b30c7039e73278cf6b5f9fa9", size = 10064595 },
+]
+
+[[package]]
+name = "safetensors"
+version = "0.5.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f4/4f/2ef9ef1766f8c194b01b67a63a444d2e557c8fe1d82faf3ebd85f370a917/safetensors-0.5.2.tar.gz", hash = "sha256:cb4a8d98ba12fa016f4241932b1fc5e702e5143f5374bba0bbcf7ddc1c4cf2b8", size = 66957 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/96/d1/017e31e75e274492a11a456a9e7c171f8f7911fe50735b4ec6ff37221220/safetensors-0.5.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:45b6092997ceb8aa3801693781a71a99909ab9cc776fbc3fa9322d29b1d3bef2", size = 427067 },
+    { url = "https://files.pythonhosted.org/packages/24/84/e9d3ff57ae50dd0028f301c9ee064e5087fe8b00e55696677a0413c377a7/safetensors-0.5.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6d0d6a8ee2215a440e1296b843edf44fd377b055ba350eaba74655a2fe2c4bae", size = 408856 },
+    { url = "https://files.pythonhosted.org/packages/f1/1d/fe95f5dd73db16757b11915e8a5106337663182d0381811c81993e0014a9/safetensors-0.5.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86016d40bcaa3bcc9a56cd74d97e654b5f4f4abe42b038c71e4f00a089c4526c", size = 450088 },
+    { url = "https://files.pythonhosted.org/packages/cf/21/e527961b12d5ab528c6e47b92d5f57f33563c28a972750b238b871924e49/safetensors-0.5.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:990833f70a5f9c7d3fc82c94507f03179930ff7d00941c287f73b6fcbf67f19e", size = 458966 },
+    { url = "https://files.pythonhosted.org/packages/a5/8b/1a037d7a57f86837c0b41905040369aea7d8ca1ec4b2a77592372b2ec380/safetensors-0.5.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dfa7c2f3fe55db34eba90c29df94bcdac4821043fc391cb5d082d9922013869", size = 509915 },
+    { url = "https://files.pythonhosted.org/packages/61/3d/03dd5cfd33839df0ee3f4581a20bd09c40246d169c0e4518f20b21d5f077/safetensors-0.5.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:46ff2116150ae70a4e9c490d2ab6b6e1b1b93f25e520e540abe1b81b48560c3a", size = 527664 },
+    { url = "https://files.pythonhosted.org/packages/c5/dc/8952caafa9a10a3c0f40fa86bacf3190ae7f55fa5eef87415b97b29cb97f/safetensors-0.5.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ab696dfdc060caffb61dbe4066b86419107a24c804a4e373ba59be699ebd8d5", size = 461978 },
+    { url = "https://files.pythonhosted.org/packages/60/da/82de1fcf1194e3dbefd4faa92dc98b33c06bed5d67890e0962dd98e18287/safetensors-0.5.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975", size = 491253 },
+    { url = "https://files.pythonhosted.org/packages/5a/9a/d90e273c25f90c3ba1b0196a972003786f04c39e302fbd6649325b1272bb/safetensors-0.5.2-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:a00e737948791b94dad83cf0eafc09a02c4d8c2171a239e8c8572fe04e25960e", size = 628644 },
+    { url = "https://files.pythonhosted.org/packages/70/3c/acb23e05aa34b4f5edd2e7f393f8e6480fbccd10601ab42cd03a57d4ab5f/safetensors-0.5.2-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:d3a06fae62418ec8e5c635b61a8086032c9e281f16c63c3af46a6efbab33156f", size = 721648 },
+    { url = "https://files.pythonhosted.org/packages/71/45/eaa3dba5253a7c6931230dc961641455710ab231f8a89cb3c4c2af70f8c8/safetensors-0.5.2-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:1506e4c2eda1431099cebe9abf6c76853e95d0b7a95addceaa74c6019c65d8cf", size = 659588 },
+    { url = "https://files.pythonhosted.org/packages/b0/71/2f9851164f821064d43b481ddbea0149c2d676c4f4e077b178e7eeaa6660/safetensors-0.5.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5c5b5d9da594f638a259fca766046f44c97244cc7ab8bef161b3e80d04becc76", size = 632533 },
+    { url = "https://files.pythonhosted.org/packages/00/f1/5680e2ef61d9c61454fad82c344f0e40b8741a9dbd1e31484f0d31a9b1c3/safetensors-0.5.2-cp38-abi3-win32.whl", hash = "sha256:fe55c039d97090d1f85277d402954dd6ad27f63034fa81985a9cc59655ac3ee2", size = 291167 },
+    { url = "https://files.pythonhosted.org/packages/86/ca/aa489392ec6fb59223ffce825461e1f811a3affd417121a2088be7a5758b/safetensors-0.5.2-cp38-abi3-win_amd64.whl", hash = "sha256:78abdddd03a406646107f973c7843276e7b64e5e32623529dc17f3d94a20f589", size = 303756 },
+]
+
+[[package]]
+name = "setuptools"
+version = "75.8.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/92/ec/089608b791d210aec4e7f97488e67ab0d33add3efccb83a056cbafe3a2a6/setuptools-75.8.0.tar.gz", hash = "sha256:c5afc8f407c626b8313a86e10311dd3f661c6cd9c09d4bf8c15c0e11f9f2b0e6", size = 1343222 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/8a/b9dc7678803429e4a3bc9ba462fa3dd9066824d3c607490235c6a796be5a/setuptools-75.8.0-py3-none-any.whl", hash = "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3", size = 1228782 },
+]
+
+[[package]]
+name = "six"
+version = "1.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050 },
+]
+
+[[package]]
+name = "snowballstemmer"
+version = "2.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/44/7b/af302bebf22c749c56c9c3e8ae13190b5b5db37a33d9068652e8f73b7089/snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1", size = 86699 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ed/dc/c02e01294f7265e63a7315fe086dd1df7dacb9f840a804da846b96d01b96/snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a", size = 93002 },
+]
+
+[[package]]
+name = "soupsieve"
+version = "2.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d7/ce/fbaeed4f9fb8b2daa961f90591662df6a86c1abf25c548329a86920aedfb/soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb", size = 101569 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/c2/fe97d779f3ef3b15f05c94a2f1e3d21732574ed441687474db9d342a7315/soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9", size = 36186 },
+]
+
+[[package]]
+name = "sphinx"
+version = "7.4.7"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "alabaster" },
+    { name = "babel" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "docutils" },
+    { name = "imagesize" },
+    { name = "importlib-metadata", marker = "python_full_version < '3.10'" },
+    { name = "jinja2" },
+    { name = "packaging" },
+    { name = "pygments" },
     { name = "requests" },
+    { name = "snowballstemmer" },
+    { name = "sphinxcontrib-applehelp" },
+    { name = "sphinxcontrib-devhelp" },
+    { name = "sphinxcontrib-htmlhelp" },
+    { name = "sphinxcontrib-jsmath" },
+    { name = "sphinxcontrib-qthelp" },
+    { name = "sphinxcontrib-serializinghtml" },
+    { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f3/61/d7545dafb7ac2230c70d38d31cbfe4cc64f7144dc41f6e4e4b78ecd9f5bb/requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6", size = 206888 }
+sdist = { url = "https://files.pythonhosted.org/packages/5b/be/50e50cb4f2eff47df05673d361095cafd95521d2a22521b920c67a372dcb/sphinx-7.4.7.tar.gz", hash = "sha256:242f92a7ea7e6c5b406fdc2615413890ba9f699114a9c09192d7dfead2ee9cfe", size = 8067911 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/3f/51/d4db610ef29373b879047326cbf6fa98b6c1969d6f6dc423279de2b1be2c/requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06", size = 54481 },
+    { url = "https://files.pythonhosted.org/packages/0d/ef/153f6803c5d5f8917dbb7f7fcf6d34a871ede3296fa89c2c703f5f8a6c8e/sphinx-7.4.7-py3-none-any.whl", hash = "sha256:c2419e2135d11f1951cd994d6eb18a1835bd8fdd8429f9ca375dc1f3281bd239", size = 3401624 },
 ]
 
 [[package]]
-name = "rfc3986"
-version = "2.0.0"
+name = "sphinx-autodoc-typehints"
+version = "2.3.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/85/40/1520d68bfa07ab5a6f065a186815fb6610c86fe957bc065754e47f7b0840/rfc3986-2.0.0.tar.gz", hash = "sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c", size = 49026 }
+dependencies = [
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/74/cd/03e7b917230dc057922130a79ba0240df1693bfd76727ea33fae84b39138/sphinx_autodoc_typehints-2.3.0.tar.gz", hash = "sha256:535c78ed2d6a1bad393ba9f3dfa2602cf424e2631ee207263e07874c38fde084", size = 40709 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ff/9a/9afaade874b2fa6c752c36f1548f718b5b83af81ed9b76628329dab81c1b/rfc3986-2.0.0-py2.py3-none-any.whl", hash = "sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd", size = 31326 },
+    { url = "https://files.pythonhosted.org/packages/a0/f3/e0a4ce49da4b6f4e4ce84b3c39a0677831884cb9d8a87ccbf1e9e56e53ac/sphinx_autodoc_typehints-2.3.0-py3-none-any.whl", hash = "sha256:3098e2c6d0ba99eacd013eb06861acc9b51c6e595be86ab05c08ee5506ac0c67", size = 19836 },
 ]
 
 [[package]]
-name = "rich"
-version = "13.9.4"
+name = "sphinx-basic-ng"
+version = "1.0.0b2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "markdown-it-py" },
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/98/0b/a866924ded68efec7a1759587a4e478aec7559d8165fac8b2ad1c0e774d6/sphinx_basic_ng-1.0.0b2.tar.gz", hash = "sha256:9ec55a47c90c8c002b5960c57492ec3021f5193cb26cebc2dc4ea226848651c9", size = 20736 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3c/dd/018ce05c532a22007ac58d4f45232514cd9d6dd0ee1dc374e309db830983/sphinx_basic_ng-1.0.0b2-py3-none-any.whl", hash = "sha256:eb09aedbabfb650607e9b4b68c9d240b90b1e1be221d6ad71d61c52e29f7932b", size = 22496 },
+]
+
+[[package]]
+name = "sphinx-jinja2-compat"
+version = "0.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jinja2" },
+    { name = "markupsafe" },
+    { name = "standard-imghdr", marker = "python_full_version >= '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/26/df/27282da6f8c549f765beca9de1a5fc56f9651ed87711a5cac1e914137753/sphinx_jinja2_compat-0.3.0.tar.gz", hash = "sha256:f3c1590b275f42e7a654e081db5e3e5fb97f515608422bde94015ddf795dfe7c", size = 4998 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6f/42/2fd09d672eaaa937d6893d8b747d07943f97a6e5e30653aee6ebd339b704/sphinx_jinja2_compat-0.3.0-py3-none-any.whl", hash = "sha256:b1e4006d8e1ea31013fa9946d1b075b0c8d2a42c6e3425e63542c1e9f8be9084", size = 7883 },
+]
+
+[[package]]
+name = "sphinx-prompt"
+version = "1.8.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "docutils" },
     { name = "pygments" },
-    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+    { name = "sphinx" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ab/3a/0316b28d0761c6734d6bc14e770d85506c986c85ffb239e688eeaab2c2bc/rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098", size = 223149 }
+sdist = { url = "https://files.pythonhosted.org/packages/e7/fb/7a07b8df1ca2418147a6b13e3f6b445071f2565198b45efa631d0d6ef0cd/sphinx_prompt-1.8.0.tar.gz", hash = "sha256:47482f86fcec29662fdfd23e7c04ef03582714195d01f5d565403320084372ed", size = 5121 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/19/71/39c7c0d87f8d4e6c020a393182060eaefeeae6c01dab6a84ec346f2567df/rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90", size = 242424 },
+    { url = "https://files.pythonhosted.org/packages/39/49/f890a2668b7cbf375f5528b549c8d36dd2e801b0fbb7b2b5ef65663ecb6c/sphinx_prompt-1.8.0-py3-none-any.whl", hash = "sha256:369ecc633f0711886f9b3a078c83264245be1adf46abeeb9b88b5519e4b51007", size = 7298 },
 ]
 
 [[package]]
-name = "ruff"
-version = "0.7.3"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/4b/06/09d1276df977eece383d0ed66052fc24ec4550a61f8fbc0a11200e690496/ruff-0.7.3.tar.gz", hash = "sha256:e1d1ba2e40b6e71a61b063354d04be669ab0d39c352461f3d789cac68b54a313", size = 3243664 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/c0/56/933d433c2489e4642487b835f53dd9ff015fb3d8fa459b09bb2ce42d7c4b/ruff-0.7.3-py3-none-linux_armv6l.whl", hash = "sha256:34f2339dc22687ec7e7002792d1f50712bf84a13d5152e75712ac08be565d344", size = 10372090 },
-    { url = "https://files.pythonhosted.org/packages/20/ea/1f0a22a6bcdd3fc26c73f63a025d05bd565901b729d56bcb093c722a6c4c/ruff-0.7.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:fb397332a1879b9764a3455a0bb1087bda876c2db8aca3a3cbb67b3dbce8cda0", size = 10190037 },
-    { url = "https://files.pythonhosted.org/packages/16/74/aca75666e0d481fe394e76a8647c44ea919087748024924baa1a17371e3e/ruff-0.7.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:37d0b619546103274e7f62643d14e1adcbccb242efda4e4bdb9544d7764782e9", size = 9811998 },
-    { url = "https://files.pythonhosted.org/packages/20/a1/cf446a0d7f78ea1f0bd2b9171c11dfe746585c0c4a734b25966121eb4f5d/ruff-0.7.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d59f0c3ee4d1a6787614e7135b72e21024875266101142a09a61439cb6e38a5", size = 10620626 },
-    { url = "https://files.pythonhosted.org/packages/cd/c1/82b27d09286ae855f5d03b1ad37cf243f21eb0081732d4d7b0d658d439cb/ruff-0.7.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:44eb93c2499a169d49fafd07bc62ac89b1bc800b197e50ff4633aed212569299", size = 10177598 },
-    { url = "https://files.pythonhosted.org/packages/b9/42/c0acac22753bf74013d035a5ef6c5c4c40ad4d6686bfb3fda7c6f37d9b37/ruff-0.7.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6d0242ce53f3a576c35ee32d907475a8d569944c0407f91d207c8af5be5dae4e", size = 11171963 },
-    { url = "https://files.pythonhosted.org/packages/43/18/bb0befb7fb9121dd9009e6a72eb98e24f1bacb07c6f3ecb55f032ba98aed/ruff-0.7.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:6b6224af8b5e09772c2ecb8dc9f3f344c1aa48201c7f07e7315367f6dd90ac29", size = 11856157 },
-    { url = "https://files.pythonhosted.org/packages/5e/91/04e98d7d6e32eca9d1372be595f9abc7b7f048795e32eb2edbd8794d50bd/ruff-0.7.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c50f95a82b94421c964fae4c27c0242890a20fe67d203d127e84fbb8013855f5", size = 11440331 },
-    { url = "https://files.pythonhosted.org/packages/f5/dc/3fe99f2ce10b76d389041a1b9f99e7066332e479435d4bebcceea16caff5/ruff-0.7.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7f3eff9961b5d2644bcf1616c606e93baa2d6b349e8aa8b035f654df252c8c67", size = 12725354 },
-    { url = "https://files.pythonhosted.org/packages/43/7b/1daa712de1c5bc6cbbf9fa60e9c41cc48cda962dc6d2c4f2a224d2c3007e/ruff-0.7.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8963cab06d130c4df2fd52c84e9f10d297826d2e8169ae0c798b6221be1d1d2", size = 11010091 },
-    { url = "https://files.pythonhosted.org/packages/b6/db/1227a903587432eb569e57a95b15a4f191a71fe315cde4c0312df7bc85da/ruff-0.7.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:61b46049d6edc0e4317fb14b33bd693245281a3007288b68a3f5b74a22a0746d", size = 10610687 },
-    { url = "https://files.pythonhosted.org/packages/db/e2/dc41ee90c3085aadad4da614d310d834f641aaafddf3dfbba08210c616ce/ruff-0.7.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:10ebce7696afe4644e8c1a23b3cf8c0f2193a310c18387c06e583ae9ef284de2", size = 10254843 },
-    { url = "https://files.pythonhosted.org/packages/6f/09/5f6cac1c91542bc5bd33d40b4c13b637bf64d7bb29e091dadb01b62527fe/ruff-0.7.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3f36d56326b3aef8eeee150b700e519880d1aab92f471eefdef656fd57492aa2", size = 10730962 },
-    { url = "https://files.pythonhosted.org/packages/d3/42/89a4b9a24ef7d00269e24086c417a006f9a3ffeac2c80f2629eb5ce140ee/ruff-0.7.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:5d024301109a0007b78d57ab0ba190087b43dce852e552734ebf0b0b85e4fb16", size = 11101907 },
-    { url = "https://files.pythonhosted.org/packages/b0/5c/efdb4777686683a8edce94ffd812783bddcd3d2454d38c5ac193fef7c500/ruff-0.7.3-py3-none-win32.whl", hash = "sha256:4ba81a5f0c5478aa61674c5a2194de8b02652f17addf8dfc40c8937e6e7d79fc", size = 8611095 },
-    { url = "https://files.pythonhosted.org/packages/bb/b8/28fbc6a4efa50178f973972d1c84b2d0a33cdc731588522ab751ac3da2f5/ruff-0.7.3-py3-none-win_amd64.whl", hash = "sha256:588a9ff2fecf01025ed065fe28809cd5a53b43505f48b69a1ac7707b1b7e4088", size = 9418283 },
-    { url = "https://files.pythonhosted.org/packages/3f/77/b587cba6febd5e2003374f37eb89633f79f161e71084f94057c8653b7fb3/ruff-0.7.3-py3-none-win_arm64.whl", hash = "sha256:1713e2c5545863cdbfe2cbce21f69ffaf37b813bfd1fb3b90dc9a6f1963f5a8c", size = 8725228 },
+name = "sphinx-tabs"
+version = "3.4.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "docutils" },
+    { name = "pygments" },
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/27/32/ab475e252dc2b704e82a91141fa404cdd8901a5cf34958fd22afacebfccd/sphinx-tabs-3.4.5.tar.gz", hash = "sha256:ba9d0c1e3e37aaadd4b5678449eb08176770e0fc227e769b6ce747df3ceea531", size = 16070 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/20/9f/4ac7dbb9f23a2ff5a10903a4f9e9f43e0ff051f63a313e989c962526e305/sphinx_tabs-3.4.5-py3-none-any.whl", hash = "sha256:92cc9473e2ecf1828ca3f6617d0efc0aa8acb06b08c56ba29d1413f2f0f6cf09", size = 9904 },
 ]
 
 [[package]]
-name = "safetensors"
-version = "0.4.5"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/cb/46/a1c56ed856c6ac3b1a8b37abe5be0cac53219367af1331e721b04d122577/safetensors-0.4.5.tar.gz", hash = "sha256:d73de19682deabb02524b3d5d1f8b3aaba94c72f1bbfc7911b9b9d5d391c0310", size = 65702 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/38/10/0798ec2c8704c2d172620d8a3725bed92cdd75516357b1a3e64d4229ea4e/safetensors-0.4.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a63eaccd22243c67e4f2b1c3e258b257effc4acd78f3b9d397edc8cf8f1298a7", size = 392312 },
-    { url = "https://files.pythonhosted.org/packages/2b/9e/9648d8dbb485c40a4a0212b7537626ae440b48156cc74601ca0b7a7615e0/safetensors-0.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:23fc9b4ec7b602915cbb4ec1a7c1ad96d2743c322f20ab709e2c35d1b66dad27", size = 381858 },
-    { url = "https://files.pythonhosted.org/packages/8b/67/49556aeacc00df353767ed31d68b492fecf38c3f664c52692e4d92aa0032/safetensors-0.4.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6885016f34bef80ea1085b7e99b3c1f92cb1be78a49839203060f67b40aee761", size = 441382 },
-    { url = "https://files.pythonhosted.org/packages/5d/ce/e9f4869a37bb11229e6cdb4e73a6ef23b4f360eee9dca5f7e40982779704/safetensors-0.4.5-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:133620f443450429322f238fda74d512c4008621227fccf2f8cf4a76206fea7c", size = 439001 },
-    { url = "https://files.pythonhosted.org/packages/a0/27/aee8cf031b89c34caf83194ec6b7f2eed28d053fff8b6da6d00c85c56035/safetensors-0.4.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4fb3e0609ec12d2a77e882f07cced530b8262027f64b75d399f1504ffec0ba56", size = 478026 },
-    { url = "https://files.pythonhosted.org/packages/da/33/1d9fc4805c623636e7d460f28eec92ebd1856f7a552df8eb78398a1ef4de/safetensors-0.4.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d0f1dd769f064adc33831f5e97ad07babbd728427f98e3e1db6902e369122737", size = 495545 },
-    { url = "https://files.pythonhosted.org/packages/b9/df/6f766b56690709d22e83836e4067a1109a7d84ea152a6deb5692743a2805/safetensors-0.4.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6d156bdb26732feada84f9388a9f135528c1ef5b05fae153da365ad4319c4c5", size = 435016 },
-    { url = "https://files.pythonhosted.org/packages/90/fa/7bc3f18086201b1e55a42c88b822ae197d0158e12c54cd45c887305f1b7e/safetensors-0.4.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9e347d77e2c77eb7624400ccd09bed69d35c0332f417ce8c048d404a096c593b", size = 456273 },
-    { url = "https://files.pythonhosted.org/packages/3e/59/2ae50150d37a65c1c5f01aec74dc737707b8bbecdc76307e5a1a12c8a376/safetensors-0.4.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9f556eea3aec1d3d955403159fe2123ddd68e880f83954ee9b4a3f2e15e716b6", size = 619669 },
-    { url = "https://files.pythonhosted.org/packages/fe/43/10f0bb597aef62c9c154152e265057089f3c729bdd980e6c32c3ec2407a4/safetensors-0.4.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9483f42be3b6bc8ff77dd67302de8ae411c4db39f7224dec66b0eb95822e4163", size = 605212 },
-    { url = "https://files.pythonhosted.org/packages/7c/75/ede6887ea0ceaba55730988bfc7668dc147a8758f907fa6db26fbb681b8e/safetensors-0.4.5-cp310-none-win32.whl", hash = "sha256:7389129c03fadd1ccc37fd1ebbc773f2b031483b04700923c3511d2a939252cc", size = 272652 },
-    { url = "https://files.pythonhosted.org/packages/ba/f0/919c72a9eef843781e652d0650f2819039943e69b69d5af2d0451a23edc3/safetensors-0.4.5-cp310-none-win_amd64.whl", hash = "sha256:e98ef5524f8b6620c8cdef97220c0b6a5c1cef69852fcd2f174bb96c2bb316b1", size = 285879 },
-    { url = "https://files.pythonhosted.org/packages/9a/a5/25bcf75e373412daf1fd88045ab3aa8140a0d804ef0e70712c4f2c5b94d8/safetensors-0.4.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:21f848d7aebd5954f92538552d6d75f7c1b4500f51664078b5b49720d180e47c", size = 392256 },
-    { url = "https://files.pythonhosted.org/packages/08/8c/ece3bf8756506a890bd980eca02f47f9d98dfbf5ce16eda1368f53560f67/safetensors-0.4.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bb07000b19d41e35eecef9a454f31a8b4718a185293f0d0b1c4b61d6e4487971", size = 381490 },
-    { url = "https://files.pythonhosted.org/packages/39/83/c4a7ce01d626e46ea2b45887f2e59b16441408031e2ce2f9fe01860c6946/safetensors-0.4.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09dedf7c2fda934ee68143202acff6e9e8eb0ddeeb4cfc24182bef999efa9f42", size = 441093 },
-    { url = "https://files.pythonhosted.org/packages/47/26/cc52de647e71bd9a0b0d78ead0d31d9c462b35550a817aa9e0cab51d6db4/safetensors-0.4.5-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:59b77e4b7a708988d84f26de3ebead61ef1659c73dcbc9946c18f3b1786d2688", size = 438960 },
-    { url = "https://files.pythonhosted.org/packages/06/78/332538546775ee97e749867df2d58f2282d9c48a1681e4891eed8b94ec94/safetensors-0.4.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d3bc83e14d67adc2e9387e511097f254bd1b43c3020440e708858c684cbac68", size = 478031 },
-    { url = "https://files.pythonhosted.org/packages/d9/03/a3c8663f1ddda54e624ecf43fce651659b49e8e1603c52c3e464b442acfa/safetensors-0.4.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39371fc551c1072976073ab258c3119395294cf49cdc1f8476794627de3130df", size = 494754 },
-    { url = "https://files.pythonhosted.org/packages/e6/ee/69e498a892f208bd1da4104d4b9be887f8611bf4942144718b6738482250/safetensors-0.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6c19feda32b931cae0acd42748a670bdf56bee6476a046af20181ad3fee4090", size = 435013 },
-    { url = "https://files.pythonhosted.org/packages/a2/61/f0cfce984515b86d1260f556ba3b782158e2855e6a318446ac2613786fa9/safetensors-0.4.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a659467495de201e2f282063808a41170448c78bada1e62707b07a27b05e6943", size = 455984 },
-    { url = "https://files.pythonhosted.org/packages/e7/a9/3e3b48fcaade3eb4e347d39ebf0bd44291db21a3e4507854b42a7cb910ac/safetensors-0.4.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:bad5e4b2476949bcd638a89f71b6916fa9a5cae5c1ae7eede337aca2100435c0", size = 619513 },
-    { url = "https://files.pythonhosted.org/packages/80/23/2a7a1be24258c0e44c1d356896fd63dc0545a98d2d0184925fa09cd3ec76/safetensors-0.4.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a3a315a6d0054bc6889a17f5668a73f94f7fe55121ff59e0a199e3519c08565f", size = 604841 },
-    { url = "https://files.pythonhosted.org/packages/b4/5c/34d082ff1fffffd8545fb22cbae3285ab4236f1f0cfc64b7e58261c2363b/safetensors-0.4.5-cp311-none-win32.whl", hash = "sha256:a01e232e6d3d5cf8b1667bc3b657a77bdab73f0743c26c1d3c5dd7ce86bd3a92", size = 272602 },
-    { url = "https://files.pythonhosted.org/packages/6d/41/948c96c8a7e9fef57c2e051f1871c108a6dbbc6d285598bdb1d89b98617c/safetensors-0.4.5-cp311-none-win_amd64.whl", hash = "sha256:cbd39cae1ad3e3ef6f63a6f07296b080c951f24cec60188378e43d3713000c04", size = 285973 },
-    { url = "https://files.pythonhosted.org/packages/bf/ac/5a63082f931e99200db95fd46fb6734f050bb6e96bf02521904c6518b7aa/safetensors-0.4.5-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:473300314e026bd1043cef391bb16a8689453363381561b8a3e443870937cc1e", size = 392015 },
-    { url = "https://files.pythonhosted.org/packages/73/95/ab32aa6e9bdc832ff87784cdf9da26192b93de3ef82b8d1ada8f345c5044/safetensors-0.4.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:801183a0f76dc647f51a2d9141ad341f9665602a7899a693207a82fb102cc53e", size = 381774 },
-    { url = "https://files.pythonhosted.org/packages/d6/6c/7e04b7626809fc63f3698f4c50e43aff2864b40089aa4506c918a75b8eed/safetensors-0.4.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1524b54246e422ad6fb6aea1ac71edeeb77666efa67230e1faf6999df9b2e27f", size = 441134 },
-    { url = "https://files.pythonhosted.org/packages/58/2b/ffe7c86a277e6c1595fbdf415cfe2903f253f574a5405e93fda8baaa582c/safetensors-0.4.5-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b3139098e3e8b2ad7afbca96d30ad29157b50c90861084e69fcb80dec7430461", size = 438467 },
-    { url = "https://files.pythonhosted.org/packages/67/9c/f271bd804e08c7fda954d17b70ff281228a88077337a9e70feace4f4cc93/safetensors-0.4.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:65573dc35be9059770808e276b017256fa30058802c29e1038eb1c00028502ea", size = 476566 },
-    { url = "https://files.pythonhosted.org/packages/4c/ad/4cf76a3e430a8a26108407fa6cb93e6f80d996a5cb75d9540c8fe3862990/safetensors-0.4.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd33da8e9407559f8779c82a0448e2133737f922d71f884da27184549416bfed", size = 492253 },
-    { url = "https://files.pythonhosted.org/packages/d9/40/a6f75ea449a9647423ec8b6f72c16998d35aa4b43cb38536ac060c5c7bf5/safetensors-0.4.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3685ce7ed036f916316b567152482b7e959dc754fcc4a8342333d222e05f407c", size = 434769 },
-    { url = "https://files.pythonhosted.org/packages/52/47/d4b49b1231abf3131f7bb0bc60ebb94b27ee33e0a1f9569da05f8ac65dee/safetensors-0.4.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:dde2bf390d25f67908278d6f5d59e46211ef98e44108727084d4637ee70ab4f1", size = 457166 },
-    { url = "https://files.pythonhosted.org/packages/c3/cd/006468b03b0fa42ff82d795d47c4193e99001e96c3f08bd62ef1b5cab586/safetensors-0.4.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7469d70d3de970b1698d47c11ebbf296a308702cbaae7fcb993944751cf985f4", size = 619280 },
-    { url = "https://files.pythonhosted.org/packages/22/4d/b6208d918e83daa84b424c0ac3191ae61b44b3191613a3a5a7b38f94b8ad/safetensors-0.4.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3a6ba28118636a130ccbb968bc33d4684c48678695dba2590169d5ab03a45646", size = 605390 },
-    { url = "https://files.pythonhosted.org/packages/e8/20/bf0e01825dc01ed75538021a98b9a046e60ead63c6c6700764c821a8c873/safetensors-0.4.5-cp312-none-win32.whl", hash = "sha256:c859c7ed90b0047f58ee27751c8e56951452ed36a67afee1b0a87847d065eec6", size = 273250 },
-    { url = "https://files.pythonhosted.org/packages/f1/5f/ab6b6cec85b40789801f35b7d2fb579ae242d8193929974a106d5ff5c835/safetensors-0.4.5-cp312-none-win_amd64.whl", hash = "sha256:b5a8810ad6a6f933fff6c276eae92c1da217b39b4d8b1bc1c0b8af2d270dc532", size = 286307 },
-    { url = "https://files.pythonhosted.org/packages/90/61/0e27b1403e311cba0be20026bee4ee822d90eda7dad372179e7f18bb99f3/safetensors-0.4.5-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:25e5f8e2e92a74f05b4ca55686234c32aac19927903792b30ee6d7bd5653d54e", size = 392062 },
-    { url = "https://files.pythonhosted.org/packages/b1/9f/cc31fafc9f5d79da10a83a820ca37f069bab0717895ad8cbcacf629dd1c5/safetensors-0.4.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:81efb124b58af39fcd684254c645e35692fea81c51627259cdf6d67ff4458916", size = 382517 },
-    { url = "https://files.pythonhosted.org/packages/a4/c7/4fda8a0ebb96662550433378f4a74c677fa5fc4d0a43a7ec287d1df254a9/safetensors-0.4.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:585f1703a518b437f5103aa9cf70e9bd437cb78eea9c51024329e4fb8a3e3679", size = 441378 },
-    { url = "https://files.pythonhosted.org/packages/14/31/9abb431f6209de9c80dab83e1112ebd769f1e32e7ab7ab228a02424a4693/safetensors-0.4.5-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4b99fbf72e3faf0b2f5f16e5e3458b93b7d0a83984fe8d5364c60aa169f2da89", size = 438831 },
-    { url = "https://files.pythonhosted.org/packages/37/37/99bfb195578a808b8d045159ee9264f8da58d017ac0701853dcacda14d4e/safetensors-0.4.5-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b17b299ca9966ca983ecda1c0791a3f07f9ca6ab5ded8ef3d283fff45f6bcd5f", size = 477112 },
-    { url = "https://files.pythonhosted.org/packages/7d/05/fac3ef107e60d2a78532bed171a91669d4bb259e1236f5ea8c67a6976c75/safetensors-0.4.5-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:76ded72f69209c9780fdb23ea89e56d35c54ae6abcdec67ccb22af8e696e449a", size = 493373 },
-    { url = "https://files.pythonhosted.org/packages/cf/7a/825800ee8c68214b4fd3506d5e19209338c69b41e01c6e14dd13969cc8b9/safetensors-0.4.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2783956926303dcfeb1de91a4d1204cd4089ab441e622e7caee0642281109db3", size = 435422 },
-    { url = "https://files.pythonhosted.org/packages/5e/6c/7a3233c08bde558d6c33a41219119866cb596139a4673cc6c24024710ffd/safetensors-0.4.5-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d94581aab8c6b204def4d7320f07534d6ee34cd4855688004a4354e63b639a35", size = 457382 },
-    { url = "https://files.pythonhosted.org/packages/a0/58/0b7bcba3788ff503990cf9278d611b56c029400612ba93e772c987b5aa03/safetensors-0.4.5-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:67e1e7cb8678bb1b37ac48ec0df04faf689e2f4e9e81e566b5c63d9f23748523", size = 619301 },
-    { url = "https://files.pythonhosted.org/packages/82/cc/9c2cf58611daf1c83ce5d37f9de66353e23fcda36008b13fd3409a760aa3/safetensors-0.4.5-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:dbd280b07e6054ea68b0cb4b16ad9703e7d63cd6890f577cb98acc5354780142", size = 605580 },
-    { url = "https://files.pythonhosted.org/packages/78/a7/47e05af6b39964a98396d593fd164723e442871dcf55fff0202dfff50b3b/safetensors-0.4.5-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:cf727bb1281d66699bef5683b04d98c894a2803442c490a8d45cd365abfbdeb2", size = 393129 },
-    { url = "https://files.pythonhosted.org/packages/a4/1e/643a04fa43e070da11e11c6defdf0930fb5216aa5e734fa00e238fd09ebb/safetensors-0.4.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:96f1d038c827cdc552d97e71f522e1049fef0542be575421f7684756a748e457", size = 383165 },
-    { url = "https://files.pythonhosted.org/packages/08/94/7760694760f1e5001bd62c93155b8b7ccb652d1f4d0161d1e72b5bf9581a/safetensors-0.4.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:139fbee92570ecea774e6344fee908907db79646d00b12c535f66bc78bd5ea2c", size = 442391 },
-    { url = "https://files.pythonhosted.org/packages/03/1c/0db6e6e5cb293907b2242447b48cc09f31478aa02f08773155c2a2db22de/safetensors-0.4.5-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c36302c1c69eebb383775a89645a32b9d266878fab619819ce660309d6176c9b", size = 440015 },
-    { url = "https://files.pythonhosted.org/packages/15/58/9658bf7ca3a4e77577fbd2c7afda4701c558db66b01daf7cd4d9dbd9781e/safetensors-0.4.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d641f5b8149ea98deb5ffcf604d764aad1de38a8285f86771ce1abf8e74c4891", size = 478099 },
-    { url = "https://files.pythonhosted.org/packages/9e/fa/44d9723a988dd54f43a5fcfa6b4d3a721e9294bb55d1c3e539a88619f1b2/safetensors-0.4.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b4db6a61d968de73722b858038c616a1bebd4a86abe2688e46ca0cc2d17558f2", size = 497170 },
-    { url = "https://files.pythonhosted.org/packages/5d/80/81ba44fc82afbf5ca553913ac49460e325dc5cf00c317b34c14d43ebd76b/safetensors-0.4.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b75a616e02f21b6f1d5785b20cecbab5e2bd3f6358a90e8925b813d557666ec1", size = 436076 },
-    { url = "https://files.pythonhosted.org/packages/2e/ad/7880a359b0f93322689804bdbe1e9a3110652963478712933ff04a3d45c3/safetensors-0.4.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:788ee7d04cc0e0e7f944c52ff05f52a4415b312f5efd2ee66389fb7685ee030c", size = 456901 },
-    { url = "https://files.pythonhosted.org/packages/89/4f/0b61e4add7ea9dfa8141d0bb1b8357e3a08730a020c3a287f0e889c386b5/safetensors-0.4.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:87bc42bd04fd9ca31396d3ca0433db0be1411b6b53ac5a32b7845a85d01ffc2e", size = 620159 },
-    { url = "https://files.pythonhosted.org/packages/a9/60/544687daf8ce8dc9a74260992ac058d7e3f20c91eada5ca232898d005149/safetensors-0.4.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4037676c86365a721a8c9510323a51861d703b399b78a6b4486a54a65a975fca", size = 605993 },
-    { url = "https://files.pythonhosted.org/packages/98/9a/2889d9df45ee09a02a17b3349c5649dc5516d1d167515b520e4aa79bdc5b/safetensors-0.4.5-cp39-none-win32.whl", hash = "sha256:1500418454529d0ed5c1564bda376c4ddff43f30fce9517d9bee7bcce5a8ef50", size = 272930 },
-    { url = "https://files.pythonhosted.org/packages/ce/00/a4bdf45a5f2e1db08aaf95bb97f8ca30ec9568573eda03ec0db9ce5ed5d2/safetensors-0.4.5-cp39-none-win_amd64.whl", hash = "sha256:9d1a94b9d793ed8fe35ab6d5cea28d540a46559bafc6aae98f30ee0867000cab", size = 286065 },
-    { url = "https://files.pythonhosted.org/packages/cf/ff/037ae4c0ee32db496669365e66079b6329906c6814722b159aa700e67208/safetensors-0.4.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:fdadf66b5a22ceb645d5435a0be7a0292ce59648ca1d46b352f13cff3ea80410", size = 392951 },
-    { url = "https://files.pythonhosted.org/packages/f1/d6/6621e16b35bf83ae099eaab07338f04991a26c9aa43879d05f19f35e149c/safetensors-0.4.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d42ffd4c2259f31832cb17ff866c111684c87bd930892a1ba53fed28370c918c", size = 383417 },
-    { url = "https://files.pythonhosted.org/packages/ae/88/3068e1bb16f5e9f9068901de3cf7b3db270b9bfe6e7d51d4b55c1da0425d/safetensors-0.4.5-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd8a1f6d2063a92cd04145c7fd9e31a1c7d85fbec20113a14b487563fdbc0597", size = 442311 },
-    { url = "https://files.pythonhosted.org/packages/f7/15/a2bb77ebbaa76b61ec2e9f731fe4db7f9473fd855d881957c51b3a168892/safetensors-0.4.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:951d2fcf1817f4fb0ef0b48f6696688a4e852a95922a042b3f96aaa67eedc920", size = 436678 },
-    { url = "https://files.pythonhosted.org/packages/ec/79/9608c4546cdbfe3860dd7aa59e3562c9289113398b1a0bd89b68ce0a9d41/safetensors-0.4.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ac85d9a8c1af0e3132371d9f2d134695a06a96993c2e2f0bbe25debb9e3f67a", size = 457316 },
-    { url = "https://files.pythonhosted.org/packages/0f/23/b17b483f2857835962ad33e38014efd4911791187e177bc23b057d35bee8/safetensors-0.4.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e3cec4a29eb7fe8da0b1c7988bc3828183080439dd559f720414450de076fcab", size = 620565 },
-    { url = "https://files.pythonhosted.org/packages/19/46/5d11dc300feaad285c2f1bd784ff3f689f5e0ab6be49aaf568f3a77019eb/safetensors-0.4.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:21742b391b859e67b26c0b2ac37f52c9c0944a879a25ad2f9f9f3cd61e7fda8f", size = 606660 },
-    { url = "https://files.pythonhosted.org/packages/5b/f9/539335e927cfeca8effc972d47e06155c4a39989905082c02b5c72769c41/safetensors-0.4.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f4beb84b6073b1247a773141a6331117e35d07134b3bb0383003f39971d414bb", size = 393986 },
-    { url = "https://files.pythonhosted.org/packages/72/c6/988925bae113bb280642329fcbbfb502ba1bc9720b6be47c1f4c1fb7cc87/safetensors-0.4.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:68814d599d25ed2fdd045ed54d370d1d03cf35e02dce56de44c651f828fb9b7b", size = 384563 },
-    { url = "https://files.pythonhosted.org/packages/b3/ff/b26d78b6100a08e57a1986ab71a2f9f093ba9943626f4967cd514cd43de2/safetensors-0.4.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0b6453c54c57c1781292c46593f8a37254b8b99004c68d6c3ce229688931a22", size = 442275 },
-    { url = "https://files.pythonhosted.org/packages/71/29/6ac541358a07ec593ec9e88636908010bc9bf56c8018e0d25b4481adb64a/safetensors-0.4.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:adaa9c6dead67e2dd90d634f89131e43162012479d86e25618e821a03d1eb1dc", size = 437217 },
-    { url = "https://files.pythonhosted.org/packages/2b/f8/258564b71fe95d0117356e6915b1c0128f1ec3031cf8522a28f9d2108b47/safetensors-0.4.5-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:73e7d408e9012cd17511b382b43547850969c7979efc2bc353f317abaf23c84c", size = 458132 },
-    { url = "https://files.pythonhosted.org/packages/18/ac/510eebf3ac521fec3b0ea78e654e22d85de3406613209d20133b5b3cca33/safetensors-0.4.5-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:775409ce0fcc58b10773fdb4221ed1eb007de10fe7adbdf8f5e8a56096b6f0bc", size = 621171 },
-    { url = "https://files.pythonhosted.org/packages/e0/c8/a02b635e39f3b904f52aff099505bdfbb40252d2d18a05e7fedc0bb64a28/safetensors-0.4.5-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:834001bed193e4440c4a3950a31059523ee5090605c907c66808664c932b549c", size = 607366 },
-]
-
-[[package]]
-name = "secretstorage"
-version = "3.3.3"
+name = "sphinx-toolbox"
+version = "3.8.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "cryptography" },
-    { name = "jeepney" },
+    { name = "apeye" },
+    { name = "autodocsumm" },
+    { name = "beautifulsoup4" },
+    { name = "cachecontrol", extra = ["filecache"] },
+    { name = "dict2css" },
+    { name = "docutils" },
+    { name = "domdf-python-tools" },
+    { name = "filelock" },
+    { name = "html5lib" },
+    { name = "ruamel-yaml" },
+    { name = "sphinx" },
+    { name = "sphinx-autodoc-typehints" },
+    { name = "sphinx-jinja2-compat" },
+    { name = "sphinx-prompt" },
+    { name = "sphinx-tabs" },
+    { name = "tabulate" },
+    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/53/a4/f48c9d79cb507ed1373477dbceaba7401fd8a23af63b837fa61f1dcd3691/SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77", size = 19739 }
+sdist = { url = "https://files.pythonhosted.org/packages/39/91/61445ccb49f653f706230daf874f0fb4385c748f8e221f44881717c80c1d/sphinx_toolbox-3.8.2.tar.gz", hash = "sha256:2d65b9cee1d313c84cdb01317764791b1bdfbd6a1e6aa056e464137d18a6b9eb", size = 111998 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/54/24/b4293291fa1dd830f353d2cb163295742fa87f179fcc8a20a306a81978b7/SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99", size = 15221 },
+    { url = "https://files.pythonhosted.org/packages/e3/c4/be739b65467ff53bef26fc36478dbb0e01e289375983338d2247a8c2f87e/sphinx_toolbox-3.8.2-py3-none-any.whl", hash = "sha256:c65d03274f07a6bfb3f56123ae40e1e003a49709b7cda9b75d9e53e569d34581", size = 194693 },
 ]
 
 [[package]]
-name = "setuptools"
-version = "75.4.0"
+name = "sphinxcontrib-applehelp"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/6e/b837e84a1a704953c62ef8776d45c3e8d759876b4a84fe14eba2859106fe/sphinxcontrib_applehelp-2.0.0.tar.gz", hash = "sha256:2f29ef331735ce958efa4734873f084941970894c6090408b079c61b2e1c06d1", size = 20053 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5d/85/9ebeae2f76e9e77b952f4b274c27238156eae7979c5421fba91a28f4970d/sphinxcontrib_applehelp-2.0.0-py3-none-any.whl", hash = "sha256:4cd3f0ec4ac5dd9c17ec65e9ab272c9b867ea77425228e68ecf08d6b28ddbdb5", size = 119300 },
+]
+
+[[package]]
+name = "sphinxcontrib-devhelp"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f6/d2/5beee64d3e4e747f316bae86b55943f51e82bb86ecd325883ef65741e7da/sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad", size = 12967 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/35/7a/987e583882f985fe4d7323774889ec58049171828b58c2217e7f79cdf44e/sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2", size = 82530 },
+]
+
+[[package]]
+name = "sphinxcontrib-htmlhelp"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/43/93/983afd9aa001e5201eab16b5a444ed5b9b0a7a010541e0ddfbbfd0b2470c/sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9", size = 22617 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0a/7b/18a8c0bcec9182c05a0b3ec2a776bba4ead82750a55ff798e8d406dae604/sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8", size = 98705 },
+]
+
+[[package]]
+name = "sphinxcontrib-jsmath"
+version = "1.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b2/e8/9ed3830aeed71f17c026a07a5097edcf44b692850ef215b161b8ad875729/sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8", size = 5787 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c2/42/4c8646762ee83602e3fb3fbe774c2fac12f317deb0b5dbeeedd2d3ba4b77/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178", size = 5071 },
+]
+
+[[package]]
+name = "sphinxcontrib-qthelp"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/68/bc/9104308fc285eb3e0b31b67688235db556cd5b0ef31d96f30e45f2e51cae/sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab", size = 17165 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/27/83/859ecdd180cacc13b1f7e857abf8582a64552ea7a061057a6c716e790fce/sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb", size = 88743 },
+]
+
+[[package]]
+name = "sphinxcontrib-serializinghtml"
+version = "2.0.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e2/73/c1ccf3e057ef6331cc6861412905dc218203bde46dfe8262c1631aa7fb11/setuptools-75.4.0.tar.gz", hash = "sha256:1dc484f5cf56fd3fe7216d7b8df820802e7246cfb534a1db2aa64f14fcb9cdcb", size = 1336593 }
+sdist = { url = "https://files.pythonhosted.org/packages/3b/44/6716b257b0aa6bfd51a1b31665d1c205fb12cb5ad56de752dfa15657de2f/sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d", size = 16080 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/21/df/7c6bb83dcb45b35dc35b310d752f254211cde0bcd2a35290ea6e2862b2a9/setuptools-75.4.0-py3-none-any.whl", hash = "sha256:b3c5d862f98500b06ffdf7cc4499b48c46c317d8d56cb30b5c8bce4d88f5c216", size = 1223131 },
+    { url = "https://files.pythonhosted.org/packages/52/a7/d2782e4e3f77c8450f727ba74a8f12756d5ba823d81b941f1b04da9d033a/sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331", size = 92072 },
+]
+
+[[package]]
+name = "standard-imghdr"
+version = "3.10.14"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/09/d2/2eb5521072c9598886035c65c023f39f7384bcb73eed70794f469e34efac/standard_imghdr-3.10.14.tar.gz", hash = "sha256:2598fe2e7c540dbda34b233295e10957ab8dc8ac6f3bd9eaa8d38be167232e52", size = 5474 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/d0/9852f70eb01f814843530c053542b72d30e9fbf74da7abb0107e71938389/standard_imghdr-3.10.14-py3-none-any.whl", hash = "sha256:cdf6883163349624dee9a81d2853a20260337c4cd41c04e99c082e01833a08e2", size = 5598 },
 ]
 
 [[package]]
@@ -1286,166 +1677,156 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b2/fe/81695a1aa331a842b582453b605175f419fe8540355886031328089d840a/sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8", size = 6189177 },
 ]
 
+[[package]]
+name = "tabulate"
+version = "0.9.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ec/fe/802052aecb21e3797b8f7902564ab6ea0d60ff8ca23952079064155d1ae1/tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c", size = 81090 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f", size = 35252 },
+]
+
 [[package]]
 name = "tokenizers"
-version = "0.20.3"
+version = "0.21.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/da/25/b1681c1c30ea3ea6e584ae3fffd552430b12faa599b558c4c4783f56d7ff/tokenizers-0.20.3.tar.gz", hash = "sha256:2278b34c5d0dd78e087e1ca7f9b1dcbf129d80211afa645f214bd6e051037539", size = 340513 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/51/421bb0052fc4333f7c1e3231d8c6607552933d919b628c8fabd06f60ba1e/tokenizers-0.20.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:31ccab28dbb1a9fe539787210b0026e22debeab1662970f61c2d921f7557f7e4", size = 2674308 },
-    { url = "https://files.pythonhosted.org/packages/a6/e9/f651f8d27614fd59af387f4dfa568b55207e5fac8d06eec106dc00b921c4/tokenizers-0.20.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c6361191f762bda98c773da418cf511cbaa0cb8d0a1196f16f8c0119bde68ff8", size = 2559363 },
-    { url = "https://files.pythonhosted.org/packages/e3/e8/0e9f81a09ab79f409eabfd99391ca519e315496694671bebca24c3e90448/tokenizers-0.20.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f128d5da1202b78fa0a10d8d938610472487da01b57098d48f7e944384362514", size = 2892896 },
-    { url = "https://files.pythonhosted.org/packages/b0/72/15fdbc149e05005e99431ecd471807db2241983deafe1e704020f608f40e/tokenizers-0.20.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:79c4121a2e9433ad7ef0769b9ca1f7dd7fa4c0cd501763d0a030afcbc6384481", size = 2802785 },
-    { url = "https://files.pythonhosted.org/packages/26/44/1f8aea48f9bb117d966b7272484671b33a509f6217a8e8544d79442c90db/tokenizers-0.20.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7850fde24197fe5cd6556e2fdba53a6d3bae67c531ea33a3d7c420b90904141", size = 3086060 },
-    { url = "https://files.pythonhosted.org/packages/2e/83/82ba40da99870b3a0b801cffaf4f099f088a84c7e07d32cc6ca751ce08e6/tokenizers-0.20.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b357970c095dc134978a68c67d845a1e3803ab7c4fbb39195bde914e7e13cf8b", size = 3096760 },
-    { url = "https://files.pythonhosted.org/packages/f3/46/7a025404201d937f86548928616c0a164308aa3998e546efdf798bf5ee9c/tokenizers-0.20.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a333d878c4970b72d6c07848b90c05f6b045cf9273fc2bc04a27211721ad6118", size = 3380165 },
-    { url = "https://files.pythonhosted.org/packages/aa/49/15fae66ac62e49255eeedbb7f4127564b2c3f3aef2009913f525732d1a08/tokenizers-0.20.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1fd9fee817f655a8f50049f685e224828abfadd436b8ff67979fc1d054b435f1", size = 2994038 },
-    { url = "https://files.pythonhosted.org/packages/f4/64/693afc9ba2393c2eed85c02bacb44762f06a29f0d1a5591fa5b40b39c0a2/tokenizers-0.20.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9e7816808b402129393a435ea2a509679b41246175d6e5e9f25b8692bfaa272b", size = 8977285 },
-    { url = "https://files.pythonhosted.org/packages/be/7e/6126c18694310fe07970717929e889898767c41fbdd95b9078e8aec0f9ef/tokenizers-0.20.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ba96367db9d8a730d3a1d5996b4b7babb846c3994b8ef14008cd8660f55db59d", size = 9294890 },
-    { url = "https://files.pythonhosted.org/packages/71/7d/5e3307a1091c8608a1e58043dff49521bc19553c6e9548c7fac6840cc2c4/tokenizers-0.20.3-cp310-none-win32.whl", hash = "sha256:ee31ba9d7df6a98619426283e80c6359f167e2e9882d9ce1b0254937dbd32f3f", size = 2196883 },
-    { url = "https://files.pythonhosted.org/packages/47/62/aaf5b2a526b3b10c20985d9568ff8c8f27159345eaef3347831e78cd5894/tokenizers-0.20.3-cp310-none-win_amd64.whl", hash = "sha256:a845c08fdad554fe0871d1255df85772f91236e5fd6b9287ef8b64f5807dbd0c", size = 2381637 },
-    { url = "https://files.pythonhosted.org/packages/c6/93/6742ef9206409d5ce1fdf44d5ca1687cdc3847ba0485424e2c731e6bcf67/tokenizers-0.20.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:585b51e06ca1f4839ce7759941e66766d7b060dccfdc57c4ca1e5b9a33013a90", size = 2674224 },
-    { url = "https://files.pythonhosted.org/packages/aa/14/e75ece72e99f6ef9ae07777ca9fdd78608f69466a5cecf636e9bd2f25d5c/tokenizers-0.20.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:61cbf11954f3b481d08723ebd048ba4b11e582986f9be74d2c3bdd9293a4538d", size = 2558991 },
-    { url = "https://files.pythonhosted.org/packages/46/54/033b5b2ba0c3ae01e026c6f7ced147d41a2fa1c573d00a66cb97f6d7f9b3/tokenizers-0.20.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef820880d5e4e8484e2fa54ff8d297bb32519eaa7815694dc835ace9130a3eea", size = 2892476 },
-    { url = "https://files.pythonhosted.org/packages/e6/b0/cc369fb3297d61f3311cab523d16d48c869dc2f0ba32985dbf03ff811041/tokenizers-0.20.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:67ef4dcb8841a4988cd00dd288fb95dfc8e22ed021f01f37348fd51c2b055ba9", size = 2802775 },
-    { url = "https://files.pythonhosted.org/packages/1a/74/62ad983e8ea6a63e04ed9c5be0b605056bf8aac2f0125f9b5e0b3e2b89fa/tokenizers-0.20.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff1ef8bd47a02b0dc191688ccb4da53600df5d4c9a05a4b68e1e3de4823e78eb", size = 3086138 },
-    { url = "https://files.pythonhosted.org/packages/6b/ac/4637ba619db25094998523f9e6f5b456e1db1f8faa770a3d925d436db0c3/tokenizers-0.20.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:444d188186eab3148baf0615b522461b41b1f0cd58cd57b862ec94b6ac9780f1", size = 3098076 },
-    { url = "https://files.pythonhosted.org/packages/58/ce/9793f2dc2ce529369807c9c74e42722b05034af411d60f5730b720388c7d/tokenizers-0.20.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:37c04c032c1442740b2c2d925f1857885c07619224a533123ac7ea71ca5713da", size = 3379650 },
-    { url = "https://files.pythonhosted.org/packages/50/f6/2841de926bc4118af996eaf0bdf0ea5b012245044766ffc0347e6c968e63/tokenizers-0.20.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:453c7769d22231960ee0e883d1005c93c68015025a5e4ae56275406d94a3c907", size = 2994005 },
-    { url = "https://files.pythonhosted.org/packages/a3/b2/00915c4fed08e9505d37cf6eaab45b12b4bff8f6719d459abcb9ead86a4b/tokenizers-0.20.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4bb31f7b2847e439766aaa9cc7bccf7ac7088052deccdb2275c952d96f691c6a", size = 8977488 },
-    { url = "https://files.pythonhosted.org/packages/e9/ac/1c069e7808181ff57bcf2d39e9b6fbee9133a55410e6ebdaa89f67c32e83/tokenizers-0.20.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:843729bf0f991b29655a069a2ff58a4c24375a553c70955e15e37a90dd4e045c", size = 9294935 },
-    { url = "https://files.pythonhosted.org/packages/50/47/722feb70ee68d1c4412b12d0ea4acc2713179fd63f054913990f9e259492/tokenizers-0.20.3-cp311-none-win32.whl", hash = "sha256:efcce3a927b1e20ca694ba13f7a68c59b0bd859ef71e441db68ee42cf20c2442", size = 2197175 },
-    { url = "https://files.pythonhosted.org/packages/75/68/1b4f928b15a36ed278332ac75d66d7eb65d865bf344d049c452c18447bf9/tokenizers-0.20.3-cp311-none-win_amd64.whl", hash = "sha256:88301aa0801f225725b6df5dea3d77c80365ff2362ca7e252583f2b4809c4cc0", size = 2381616 },
-    { url = "https://files.pythonhosted.org/packages/07/00/92a08af2a6b0c88c50f1ab47d7189e695722ad9714b0ee78ea5e1e2e1def/tokenizers-0.20.3-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:49d12a32e190fad0e79e5bdb788d05da2f20d8e006b13a70859ac47fecf6ab2f", size = 2667951 },
-    { url = "https://files.pythonhosted.org/packages/ec/9a/e17a352f0bffbf415cf7d73756f5c73a3219225fc5957bc2f39d52c61684/tokenizers-0.20.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:282848cacfb9c06d5e51489f38ec5aa0b3cd1e247a023061945f71f41d949d73", size = 2555167 },
-    { url = "https://files.pythonhosted.org/packages/27/37/d108df55daf4f0fcf1f58554692ff71687c273d870a34693066f0847be96/tokenizers-0.20.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:abe4e08c7d0cd6154c795deb5bf81d2122f36daf075e0c12a8b050d824ef0a64", size = 2898389 },
-    { url = "https://files.pythonhosted.org/packages/b2/27/32f29da16d28f59472fa7fb38e7782069748c7e9ab9854522db20341624c/tokenizers-0.20.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ca94fc1b73b3883c98f0c88c77700b13d55b49f1071dfd57df2b06f3ff7afd64", size = 2795866 },
-    { url = "https://files.pythonhosted.org/packages/29/4e/8a9a3c89e128c4a40f247b501c10279d2d7ade685953407c4d94c8c0f7a7/tokenizers-0.20.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef279c7e239f95c8bdd6ff319d9870f30f0d24915b04895f55b1adcf96d6c60d", size = 3085446 },
-    { url = "https://files.pythonhosted.org/packages/b4/3b/a2a7962c496ebcd95860ca99e423254f760f382cd4bd376f8895783afaf5/tokenizers-0.20.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:16384073973f6ccbde9852157a4fdfe632bb65208139c9d0c0bd0176a71fd67f", size = 3094378 },
-    { url = "https://files.pythonhosted.org/packages/1f/f4/a8a33f0192a1629a3bd0afcad17d4d221bbf9276da4b95d226364208d5eb/tokenizers-0.20.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:312d522caeb8a1a42ebdec87118d99b22667782b67898a76c963c058a7e41d4f", size = 3385755 },
-    { url = "https://files.pythonhosted.org/packages/9e/65/c83cb3545a65a9eaa2e13b22c93d5e00bd7624b354a44adbdc93d5d9bd91/tokenizers-0.20.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2b7cb962564785a83dafbba0144ecb7f579f1d57d8c406cdaa7f32fe32f18ad", size = 2997679 },
-    { url = "https://files.pythonhosted.org/packages/55/e9/a80d4e592307688a67c7c59ab77e03687b6a8bd92eb5db763a2c80f93f57/tokenizers-0.20.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:124c5882ebb88dadae1fc788a582299fcd3a8bd84fc3e260b9918cf28b8751f5", size = 8989296 },
-    { url = "https://files.pythonhosted.org/packages/90/af/60c957af8d2244321124e893828f1a4817cde1a2d08d09d423b73f19bd2f/tokenizers-0.20.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2b6e54e71f84c4202111a489879005cb14b92616a87417f6c102c833af961ea2", size = 9303621 },
-    { url = "https://files.pythonhosted.org/packages/be/a9/96172310ee141009646d63a1ca267c099c462d747fe5ef7e33f74e27a683/tokenizers-0.20.3-cp312-none-win32.whl", hash = "sha256:83d9bfbe9af86f2d9df4833c22e94d94750f1d0cd9bfb22a7bb90a86f61cdb1c", size = 2188979 },
-    { url = "https://files.pythonhosted.org/packages/bd/68/61d85ae7ae96dde7d0974ff3538db75d5cdc29be2e4329cd7fc51a283e22/tokenizers-0.20.3-cp312-none-win_amd64.whl", hash = "sha256:44def74cee574d609a36e17c8914311d1b5dbcfe37c55fd29369d42591b91cf2", size = 2380725 },
-    { url = "https://files.pythonhosted.org/packages/07/19/36e9eaafb229616cb8502b42030fa7fe347550e76cb618de71b498fc3222/tokenizers-0.20.3-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:e0b630e0b536ef0e3c8b42c685c1bc93bd19e98c0f1543db52911f8ede42cf84", size = 2666813 },
-    { url = "https://files.pythonhosted.org/packages/b9/c7/e2ce1d4f756c8a62ef93fdb4df877c2185339b6d63667b015bf70ea9d34b/tokenizers-0.20.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a02d160d2b19bcbfdf28bd9a4bf11be4cb97d0499c000d95d4c4b1a4312740b6", size = 2555354 },
-    { url = "https://files.pythonhosted.org/packages/7c/cf/5309c2d173a6a67f9ec8697d8e710ea32418de6fd8541778032c202a1c3e/tokenizers-0.20.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e3d80d89b068bc30034034b5319218c7c0a91b00af19679833f55f3becb6945", size = 2897745 },
-    { url = "https://files.pythonhosted.org/packages/2c/e5/af3078e32f225e680e69d61f78855880edb8d53f5850a1834d519b2b103f/tokenizers-0.20.3-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:174a54910bed1b089226512b4458ea60d6d6fd93060254734d3bc3540953c51c", size = 2794385 },
-    { url = "https://files.pythonhosted.org/packages/0b/a7/bc421fe46650cc4eb4a913a236b88c243204f32c7480684d2f138925899e/tokenizers-0.20.3-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:098b8a632b8656aa5802c46689462c5c48f02510f24029d71c208ec2c822e771", size = 3084580 },
-    { url = "https://files.pythonhosted.org/packages/c6/22/97e1e95ee81f75922c9f569c23cb2b1fdc7f5a7a29c4c9fae17e63f751a6/tokenizers-0.20.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:78c8c143e3ae41e718588281eb3e212c2b31623c9d6d40410ec464d7d6221fb5", size = 3093581 },
-    { url = "https://files.pythonhosted.org/packages/d5/14/f0df0ee3b9e516121e23c0099bccd7b9f086ba9150021a750e99b16ce56f/tokenizers-0.20.3-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b26b0aadb18cd8701077362ba359a06683662d5cafe3e8e8aba10eb05c037f1", size = 3385934 },
-    { url = "https://files.pythonhosted.org/packages/66/52/7a171bd4929e3ffe61a29b4340fe5b73484709f92a8162a18946e124c34c/tokenizers-0.20.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07d7851a72717321022f3774e84aa9d595a041d643fafa2e87fbc9b18711dac0", size = 2997311 },
-    { url = "https://files.pythonhosted.org/packages/7c/64/f1993bb8ebf775d56875ca0d50a50f2648bfbbb143da92fe2e6ceeb4abd5/tokenizers-0.20.3-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:bd44e48a430ada902c6266a8245f5036c4fe744fcb51f699999fbe82aa438797", size = 8988601 },
-    { url = "https://files.pythonhosted.org/packages/d6/3f/49fa63422159bbc2f2a4ac5bfc597d04d4ec0ad3d2ef46649b5e9a340e37/tokenizers-0.20.3-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:a4c186bb006ccbe1f5cc4e0380d1ce7806f5955c244074fd96abc55e27b77f01", size = 9303950 },
-    { url = "https://files.pythonhosted.org/packages/66/11/79d91aeb2817ad1993ef61c690afe73e6dbedbfb21918b302ef5a2ba9bfb/tokenizers-0.20.3-cp313-none-win32.whl", hash = "sha256:6e19e0f1d854d6ab7ea0c743d06e764d1d9a546932be0a67f33087645f00fe13", size = 2188941 },
-    { url = "https://files.pythonhosted.org/packages/c2/ff/ac8410f868fb8b14b5e619efa304aa119cb8a40bd7df29fc81a898e64f99/tokenizers-0.20.3-cp313-none-win_amd64.whl", hash = "sha256:d50ede425c7e60966a9680d41b58b3a0950afa1bb570488e2972fa61662c4273", size = 2380269 },
-    { url = "https://files.pythonhosted.org/packages/42/a8/ccc7be89a644aeba926a7c8779d659e856f4af4ee8fbdfb71a07f6a98a84/tokenizers-0.20.3-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:93e37f0269a11dc3b1a953f1fca9707f0929ebf8b4063c591c71a0664219988e", size = 2674607 },
-    { url = "https://files.pythonhosted.org/packages/e7/8a/29388a69722188352f5f9006a392d692e4739688779475713e552ef3a1b3/tokenizers-0.20.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f4cb0c614b0135e781de96c2af87e73da0389ac1458e2a97562ed26e29490d8d", size = 2560100 },
-    { url = "https://files.pythonhosted.org/packages/b0/39/073836c1d73e63268b1c67a682a8ba23e2688a43e737166be45ab8243701/tokenizers-0.20.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7eb2fb1c432f5746b22f8a7f09fc18c4156cb0031c77f53cb19379d82d43297a", size = 2893676 },
-    { url = "https://files.pythonhosted.org/packages/c1/d9/b9ff819c3df4bc73ad93629804f7b85321a78bc2da4f54fb774a90e995c6/tokenizers-0.20.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfa8d029bb156181b006643309d6b673615a24e4ed24cf03aa191d599b996f51", size = 2804173 },
-    { url = "https://files.pythonhosted.org/packages/3e/d5/6b2b519ba2d9a6d3435f22918f0ad5850c40cf5357f6d989e6d68ef40fb9/tokenizers-0.20.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6f90549622de3bf476ad9f1dd6f3f952ec3ed6ab8615ae88ef060d0c5bfad55d", size = 3086866 },
-    { url = "https://files.pythonhosted.org/packages/01/e1/d96e90ef872dd9b3a4b7a78874411f1c48476019f95a87a2cfd54c470a57/tokenizers-0.20.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a1d469c74eebf5c43fd61cd9b030e271d17198edd7bd45392e03a3c091d7d6d4", size = 3099004 },
-    { url = "https://files.pythonhosted.org/packages/0c/6a/a94248dc5915907e18d55c9739cd018f5aeb4146f198622f45f9748dcb9f/tokenizers-0.20.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bee8f53b2594749f4460d53253bae55d718f04e9b633efa0f5df8938bd98e4f0", size = 3381574 },
-    { url = "https://files.pythonhosted.org/packages/29/9e/c95f8821d6bc93eba7c5db95e6299c009db523d1c646da8563b42ad892c4/tokenizers-0.20.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:938441babf3e5720e4459e306ef2809fb267680df9d1ff2873458b22aef60248", size = 2994953 },
-    { url = "https://files.pythonhosted.org/packages/95/ff/01fdcf9a77776730baf63a9f66adf75c3aa4bdb1bdc77c7d1a3e03b2a25e/tokenizers-0.20.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7310ab23d7b0caebecc0e8be11a1146f320f5f07284000f6ea54793e83de1b75", size = 8977698 },
-    { url = "https://files.pythonhosted.org/packages/ef/2d/8b823741c64e9726b82076fa09f6d66285b61bd2c77e109871415b1ed9e2/tokenizers-0.20.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:16121eb030a2b13094cfec936b0c12e8b4063c5f839591ea7d0212336d8f9921", size = 9295649 },
-    { url = "https://files.pythonhosted.org/packages/7d/ed/06e4c10020f3c26faf62dcbe786d8dfad60ca119bb1f3e5f32dccd0ce9b4/tokenizers-0.20.3-cp39-none-win32.whl", hash = "sha256:401cc21ef642ee235985d747f65e18f639464d377c70836c9003df208d582064", size = 2197165 },
-    { url = "https://files.pythonhosted.org/packages/0d/e3/ad08926d9a9dd238ec67d429db13f34db31bc4ecd726207fa95b90779462/tokenizers-0.20.3-cp39-none-win_amd64.whl", hash = "sha256:7498f3ea7746133335a6adb67a77cf77227a8b82c8483f644a2e5f86fea42b8d", size = 2382146 },
-    { url = "https://files.pythonhosted.org/packages/29/cd/ff1586dd572aaf1637d59968df3f6f6532fa255f4638fbc29f6d27e0b690/tokenizers-0.20.3-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e919f2e3e68bb51dc31de4fcbbeff3bdf9c1cad489044c75e2b982a91059bd3c", size = 2672044 },
-    { url = "https://files.pythonhosted.org/packages/b5/9e/7a2c00abbc8edb021ee0b1f12aab76a7b7824b49f94bcd9f075d0818d4b0/tokenizers-0.20.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b8e9608f2773996cc272156e305bd79066163a66b0390fe21750aff62df1ac07", size = 2558841 },
-    { url = "https://files.pythonhosted.org/packages/8e/c1/6af62ef61316f33ecf785bbb2bee4292f34ea62b491d4480ad9b09acf6b6/tokenizers-0.20.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39270a7050deaf50f7caff4c532c01b3c48f6608d42b3eacdebdc6795478c8df", size = 2897936 },
-    { url = "https://files.pythonhosted.org/packages/9a/0b/c076b2ff3ee6dc70c805181fbe325668b89cfee856f8dfa24cc9aa293c84/tokenizers-0.20.3-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e005466632b1c5d2d2120f6de8aa768cc9d36cd1ab7d51d0c27a114c91a1e6ee", size = 3082688 },
-    { url = "https://files.pythonhosted.org/packages/0a/60/56510124933136c2e90879e1c81603cfa753ae5a87830e3ef95056b20d8f/tokenizers-0.20.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a07962340b36189b6c8feda552ea1bfeee6cf067ff922a1d7760662c2ee229e5", size = 2998924 },
-    { url = "https://files.pythonhosted.org/packages/68/60/4107b618b7b9155cb34ad2e0fc90946b7e71f041b642122fb6314f660688/tokenizers-0.20.3-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:55046ad3dd5f2b3c67501fcc8c9cbe3e901d8355f08a3b745e9b57894855f85b", size = 8989514 },
-    { url = "https://files.pythonhosted.org/packages/e8/bd/48475818e614b73316baf37ac1e4e51b578bbdf58651812d7e55f43b88d8/tokenizers-0.20.3-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:efcf0eb939988b627558aaf2b9dc3e56d759cad2e0cfa04fcab378e4b48fc4fd", size = 9303476 },
-    { url = "https://files.pythonhosted.org/packages/55/ba/f0b0c5dd6a2eb4ac83fd890f1f6e402a8f245faeeca37b52b794fe738ed9/tokenizers-0.20.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:de082392a85eb0055cc055c535bff2f0cc15d7a000bdc36fbf601a0f3cf8507a", size = 2672725 },
-    { url = "https://files.pythonhosted.org/packages/eb/6d/2d9f5a93f88470f8dae7b2069734ba0a5d30659761ce5a6067913e7d4333/tokenizers-0.20.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:c3db46cc0647bfd88263afdb739b92017a02a87ee30945cb3e86c7e25c7c9917", size = 2559213 },
-    { url = "https://files.pythonhosted.org/packages/ce/32/37ff2ced2c169c2e7586fcd51314f59d02c60fd2eeafea527c2f9d1bb512/tokenizers-0.20.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a292392f24ab9abac5cfa8197e5a6208f2e43723420217e1ceba0b4ec77816ac", size = 2897613 },
-    { url = "https://files.pythonhosted.org/packages/79/e4/fdd7ad2aedaa4a3f148aa28670bf0b0856211a3fec3e6554ed6ceec9a928/tokenizers-0.20.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8dcd91f4e60f62b20d83a87a84fe062035a1e3ff49a8c2bbdeb2d441c8e311f4", size = 3085434 },
-    { url = "https://files.pythonhosted.org/packages/e0/b8/479ab7349faf1da001b861ea521055ad18a34a9b1053079e0c9b5c476f50/tokenizers-0.20.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:900991a2b8ee35961b1095db7e265342e0e42a84c1a594823d5ee9f8fb791958", size = 2998651 },
-    { url = "https://files.pythonhosted.org/packages/6b/7f/3a1d5ded5f841764d67aa4c6e2e4b40d9dac5fbd2df135bccc58284a6917/tokenizers-0.20.3-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:5a8d8261ca2133d4f98aa9627c748189502b3787537ba3d7e2beb4f7cfc5d627", size = 8989010 },
-    { url = "https://files.pythonhosted.org/packages/2b/a7/e0b5d5fea8cb69afdbab3c0e0cc3a02b5dd888ce0f933312f7c0ca6b017e/tokenizers-0.20.3-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:c4fd4d71e6deb6ddf99d8d0eab87d1d16f635898906e631914a9bae8ae9f2cfb", size = 9303287 },
+sdist = { url = "https://files.pythonhosted.org/packages/20/41/c2be10975ca37f6ec40d7abd7e98a5213bb04f284b869c1a24e6504fd94d/tokenizers-0.21.0.tar.gz", hash = "sha256:ee0894bf311b75b0c03079f33859ae4b2334d675d4e93f5a4132e1eae2834fe4", size = 343021 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b0/5c/8b09607b37e996dc47e70d6a7b6f4bdd4e4d5ab22fe49d7374565c7fefaf/tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2", size = 2647461 },
+    { url = "https://files.pythonhosted.org/packages/22/7a/88e58bb297c22633ed1c9d16029316e5b5ac5ee44012164c2edede599a5e/tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e", size = 2563639 },
+    { url = "https://files.pythonhosted.org/packages/f7/14/83429177c19364df27d22bc096d4c2e431e0ba43e56c525434f1f9b0fd00/tokenizers-0.21.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b177fb54c4702ef611de0c069d9169f0004233890e0c4c5bd5508ae05abf193", size = 2903304 },
+    { url = "https://files.pythonhosted.org/packages/7e/db/3433eab42347e0dc5452d8fcc8da03f638c9accffefe5a7c78146666964a/tokenizers-0.21.0-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6b43779a269f4629bebb114e19c3fca0223296ae9fea8bb9a7a6c6fb0657ff8e", size = 2804378 },
+    { url = "https://files.pythonhosted.org/packages/57/8b/7da5e6f89736c2ade02816b4733983fca1c226b0c42980b1ae9dc8fcf5cc/tokenizers-0.21.0-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9aeb255802be90acfd363626753fda0064a8df06031012fe7d52fd9a905eb00e", size = 3095488 },
+    { url = "https://files.pythonhosted.org/packages/4d/f6/5ed6711093dc2c04a4e03f6461798b12669bc5a17c8be7cce1240e0b5ce8/tokenizers-0.21.0-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d8b09dbeb7a8d73ee204a70f94fc06ea0f17dcf0844f16102b9f414f0b7463ba", size = 3121410 },
+    { url = "https://files.pythonhosted.org/packages/81/42/07600892d48950c5e80505b81411044a2d969368cdc0d929b1c847bf6697/tokenizers-0.21.0-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:400832c0904f77ce87c40f1a8a27493071282f785724ae62144324f171377273", size = 3388821 },
+    { url = "https://files.pythonhosted.org/packages/22/06/69d7ce374747edaf1695a4f61b83570d91cc8bbfc51ccfecf76f56ab4aac/tokenizers-0.21.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84ca973b3a96894d1707e189c14a774b701596d579ffc7e69debfc036a61a04", size = 3008868 },
+    { url = "https://files.pythonhosted.org/packages/c8/69/54a0aee4d576045b49a0eb8bffdc495634309c823bf886042e6f46b80058/tokenizers-0.21.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:eb7202d231b273c34ec67767378cd04c767e967fda12d4a9e36208a34e2f137e", size = 8975831 },
+    { url = "https://files.pythonhosted.org/packages/f7/f3/b776061e4f3ebf2905ba1a25d90380aafd10c02d406437a8ba22d1724d76/tokenizers-0.21.0-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:089d56db6782a73a27fd8abf3ba21779f5b85d4a9f35e3b493c7bbcbbf0d539b", size = 8920746 },
+    { url = "https://files.pythonhosted.org/packages/d8/ee/ce83d5ec8b6844ad4c3ecfe3333d58ecc1adc61f0878b323a15355bcab24/tokenizers-0.21.0-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:c87ca3dc48b9b1222d984b6b7490355a6fdb411a2d810f6f05977258400ddb74", size = 9161814 },
+    { url = "https://files.pythonhosted.org/packages/18/07/3e88e65c0ed28fa93aa0c4d264988428eef3df2764c3126dc83e243cb36f/tokenizers-0.21.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:4145505a973116f91bc3ac45988a92e618a6f83eb458f49ea0790df94ee243ff", size = 9357138 },
+    { url = "https://files.pythonhosted.org/packages/15/b0/dc4572ca61555fc482ebc933f26cb407c6aceb3dc19c301c68184f8cad03/tokenizers-0.21.0-cp39-abi3-win32.whl", hash = "sha256:eb1702c2f27d25d9dd5b389cc1f2f51813e99f8ca30d9e25348db6585a97e24a", size = 2202266 },
+    { url = "https://files.pythonhosted.org/packages/44/69/d21eb253fa91622da25585d362a874fa4710be600f0ea9446d8d0217cec1/tokenizers-0.21.0-cp39-abi3-win_amd64.whl", hash = "sha256:87841da5a25a3a5f70c102de371db120f41873b854ba65e52bccd57df5a3780c", size = 2389192 },
 ]
 
 [[package]]
 name = "tomli"
-version = "2.1.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/1e/e4/1b6cbcc82d8832dd0ce34767d5c560df8a3547ad8cbc427f34601415930a/tomli-2.1.0.tar.gz", hash = "sha256:3f646cae2aec94e17d04973e4249548320197cfabdf130015d023de4b74d8ab8", size = 16622 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/de/f7/4da0ffe1892122c9ea096c57f64c2753ae5dd3ce85488802d11b0992cc6d/tomli-2.1.0-py3-none-any.whl", hash = "sha256:a5c57c3d1c56f5ccdf89f6523458f60ef716e210fc47c4cfb188c5ba473e0391", size = 13750 },
+version = "2.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/18/87/302344fed471e44a87289cf4967697d07e532f2421fdaf868a303cbae4ff/tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff", size = 17175 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/43/ca/75707e6efa2b37c77dadb324ae7d9571cb424e61ea73fad7c56c2d14527f/tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249", size = 131077 },
+    { url = "https://files.pythonhosted.org/packages/c7/16/51ae563a8615d472fdbffc43a3f3d46588c264ac4f024f63f01283becfbb/tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6", size = 123429 },
+    { url = "https://files.pythonhosted.org/packages/f1/dd/4f6cd1e7b160041db83c694abc78e100473c15d54620083dbd5aae7b990e/tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a", size = 226067 },
+    { url = "https://files.pythonhosted.org/packages/a9/6b/c54ede5dc70d648cc6361eaf429304b02f2871a345bbdd51e993d6cdf550/tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee", size = 236030 },
+    { url = "https://files.pythonhosted.org/packages/1f/47/999514fa49cfaf7a92c805a86c3c43f4215621855d151b61c602abb38091/tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e", size = 240898 },
+    { url = "https://files.pythonhosted.org/packages/73/41/0a01279a7ae09ee1573b423318e7934674ce06eb33f50936655071d81a24/tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4", size = 229894 },
+    { url = "https://files.pythonhosted.org/packages/55/18/5d8bc5b0a0362311ce4d18830a5d28943667599a60d20118074ea1b01bb7/tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106", size = 245319 },
+    { url = "https://files.pythonhosted.org/packages/92/a3/7ade0576d17f3cdf5ff44d61390d4b3febb8a9fc2b480c75c47ea048c646/tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8", size = 238273 },
+    { url = "https://files.pythonhosted.org/packages/72/6f/fa64ef058ac1446a1e51110c375339b3ec6be245af9d14c87c4a6412dd32/tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff", size = 98310 },
+    { url = "https://files.pythonhosted.org/packages/6a/1c/4a2dcde4a51b81be3530565e92eda625d94dafb46dbeb15069df4caffc34/tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b", size = 108309 },
+    { url = "https://files.pythonhosted.org/packages/52/e1/f8af4c2fcde17500422858155aeb0d7e93477a0d59a98e56cbfe75070fd0/tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea", size = 132762 },
+    { url = "https://files.pythonhosted.org/packages/03/b8/152c68bb84fc00396b83e7bbddd5ec0bd3dd409db4195e2a9b3e398ad2e3/tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8", size = 123453 },
+    { url = "https://files.pythonhosted.org/packages/c8/d6/fc9267af9166f79ac528ff7e8c55c8181ded34eb4b0e93daa767b8841573/tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192", size = 233486 },
+    { url = "https://files.pythonhosted.org/packages/5c/51/51c3f2884d7bab89af25f678447ea7d297b53b5a3b5730a7cb2ef6069f07/tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222", size = 242349 },
+    { url = "https://files.pythonhosted.org/packages/ab/df/bfa89627d13a5cc22402e441e8a931ef2108403db390ff3345c05253935e/tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77", size = 252159 },
+    { url = "https://files.pythonhosted.org/packages/9e/6e/fa2b916dced65763a5168c6ccb91066f7639bdc88b48adda990db10c8c0b/tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6", size = 237243 },
+    { url = "https://files.pythonhosted.org/packages/b4/04/885d3b1f650e1153cbb93a6a9782c58a972b94ea4483ae4ac5cedd5e4a09/tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd", size = 259645 },
+    { url = "https://files.pythonhosted.org/packages/9c/de/6b432d66e986e501586da298e28ebeefd3edc2c780f3ad73d22566034239/tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e", size = 244584 },
+    { url = "https://files.pythonhosted.org/packages/1c/9a/47c0449b98e6e7d1be6cbac02f93dd79003234ddc4aaab6ba07a9a7482e2/tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98", size = 98875 },
+    { url = "https://files.pythonhosted.org/packages/ef/60/9b9638f081c6f1261e2688bd487625cd1e660d0a85bd469e91d8db969734/tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4", size = 109418 },
+    { url = "https://files.pythonhosted.org/packages/04/90/2ee5f2e0362cb8a0b6499dc44f4d7d48f8fff06d28ba46e6f1eaa61a1388/tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7", size = 132708 },
+    { url = "https://files.pythonhosted.org/packages/c0/ec/46b4108816de6b385141f082ba99e315501ccd0a2ea23db4a100dd3990ea/tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c", size = 123582 },
+    { url = "https://files.pythonhosted.org/packages/a0/bd/b470466d0137b37b68d24556c38a0cc819e8febe392d5b199dcd7f578365/tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13", size = 232543 },
+    { url = "https://files.pythonhosted.org/packages/d9/e5/82e80ff3b751373f7cead2815bcbe2d51c895b3c990686741a8e56ec42ab/tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281", size = 241691 },
+    { url = "https://files.pythonhosted.org/packages/05/7e/2a110bc2713557d6a1bfb06af23dd01e7dde52b6ee7dadc589868f9abfac/tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272", size = 251170 },
+    { url = "https://files.pythonhosted.org/packages/64/7b/22d713946efe00e0adbcdfd6d1aa119ae03fd0b60ebed51ebb3fa9f5a2e5/tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140", size = 236530 },
+    { url = "https://files.pythonhosted.org/packages/38/31/3a76f67da4b0cf37b742ca76beaf819dca0ebef26d78fc794a576e08accf/tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2", size = 258666 },
+    { url = "https://files.pythonhosted.org/packages/07/10/5af1293da642aded87e8a988753945d0cf7e00a9452d3911dd3bb354c9e2/tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744", size = 243954 },
+    { url = "https://files.pythonhosted.org/packages/5b/b9/1ed31d167be802da0fc95020d04cd27b7d7065cc6fbefdd2f9186f60d7bd/tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec", size = 98724 },
+    { url = "https://files.pythonhosted.org/packages/c7/32/b0963458706accd9afcfeb867c0f9175a741bf7b19cd424230714d722198/tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69", size = 109383 },
+    { url = "https://files.pythonhosted.org/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc", size = 14257 },
 ]
 
 [[package]]
 name = "torch"
-version = "2.5.1"
+version = "2.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "filelock" },
     { name = "fsspec" },
     { name = "jinja2" },
-    { name = "networkx" },
-    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
-    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "networkx", version = "3.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusparselt-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
     { name = "setuptools", marker = "python_full_version >= '3.12'" },
     { name = "sympy" },
-    { name = "triton", marker = "python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux'" },
+    { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
     { name = "typing-extensions" },
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/2a/ef/834af4a885b31a0b32fff2d80e1e40f771e1566ea8ded55347502440786a/torch-2.5.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:71328e1bbe39d213b8721678f9dcac30dfc452a46d586f1d514a6aa0a99d4744", size = 906446312 },
-    { url = "https://files.pythonhosted.org/packages/69/f0/46e74e0d145f43fa506cb336eaefb2d240547e4ce1f496e442711093ab25/torch-2.5.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:34bfa1a852e5714cbfa17f27c49d8ce35e1b7af5608c4bc6e81392c352dbc601", size = 91919522 },
-    { url = "https://files.pythonhosted.org/packages/a5/13/1eb674c8efbd04d71e4a157ceba991904f633e009a584dd65dccbafbb648/torch-2.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:32a037bd98a241df6c93e4c789b683335da76a2ac142c0973675b715102dc5fa", size = 203088048 },
-    { url = "https://files.pythonhosted.org/packages/a9/9d/e0860474ee0ff8f6ef2c50ec8f71a250f38d78a9b9df9fd241ad3397a65b/torch-2.5.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:23d062bf70776a3d04dbe74db950db2a5245e1ba4f27208a87f0d743b0d06e86", size = 63877046 },
-    { url = "https://files.pythonhosted.org/packages/d1/35/e8b2daf02ce933e4518e6f5682c72fd0ed66c15910ea1fb4168f442b71c4/torch-2.5.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:de5b7d6740c4b636ef4db92be922f0edc425b65ed78c5076c43c42d362a45457", size = 906474467 },
-    { url = "https://files.pythonhosted.org/packages/40/04/bd91593a4ca178ece93ca55f27e2783aa524aaccbfda66831d59a054c31e/torch-2.5.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:340ce0432cad0d37f5a31be666896e16788f1adf8ad7be481196b503dad675b9", size = 91919450 },
-    { url = "https://files.pythonhosted.org/packages/0d/4a/e51420d46cfc90562e85af2fee912237c662ab31140ab179e49bd69401d6/torch-2.5.1-cp311-cp311-win_amd64.whl", hash = "sha256:603c52d2fe06433c18b747d25f5c333f9c1d58615620578c326d66f258686f9a", size = 203098237 },
-    { url = "https://files.pythonhosted.org/packages/d0/db/5d9cbfbc7968d79c5c09a0bc0bc3735da079f2fd07cc10498a62b320a480/torch-2.5.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:31f8c39660962f9ae4eeec995e3049b5492eb7360dd4f07377658ef4d728fa4c", size = 63884466 },
-    { url = "https://files.pythonhosted.org/packages/8b/5c/36c114d120bfe10f9323ed35061bc5878cc74f3f594003854b0ea298942f/torch-2.5.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:ed231a4b3a5952177fafb661213d690a72caaad97d5824dd4fc17ab9e15cec03", size = 906389343 },
-    { url = "https://files.pythonhosted.org/packages/6d/69/d8ada8b6e0a4257556d5b4ddeb4345ea8eeaaef3c98b60d1cca197c7ad8e/torch-2.5.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:3f4b7f10a247e0dcd7ea97dc2d3bfbfc90302ed36d7f3952b0008d0df264e697", size = 91811673 },
-    { url = "https://files.pythonhosted.org/packages/5f/ba/607d013b55b9fd805db2a5c2662ec7551f1910b4eef39653eeaba182c5b2/torch-2.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:73e58e78f7d220917c5dbfad1a40e09df9929d3b95d25e57d9f8558f84c9a11c", size = 203046841 },
-    { url = "https://files.pythonhosted.org/packages/57/6c/bf52ff061da33deb9f94f4121fde7ff3058812cb7d2036c97bc167793bd1/torch-2.5.1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:8c712df61101964eb11910a846514011f0b6f5920c55dbf567bff8a34163d5b1", size = 63858109 },
-    { url = "https://files.pythonhosted.org/packages/69/72/20cb30f3b39a9face296491a86adb6ff8f1a47a897e4d14667e6cf89d5c3/torch-2.5.1-cp313-cp313-manylinux1_x86_64.whl", hash = "sha256:9b61edf3b4f6e3b0e0adda8b3960266b9009d02b37555971f4d1c8f7a05afed7", size = 906393265 },
-    { url = "https://files.pythonhosted.org/packages/a9/18/81c399e8f4f1580d34bf99d827cb5fb5cf7a18a266bb5d30ca3ec2e89ba6/torch-2.5.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:1f3b7fb3cf7ab97fae52161423f81be8c6b8afac8d9760823fd623994581e1a3", size = 906479005 },
-    { url = "https://files.pythonhosted.org/packages/5d/86/1c4b168d52cddb8d17952a7b5b25f69ef0da1fc34de1223d73d0d9db1801/torch-2.5.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:7974e3dce28b5a21fb554b73e1bc9072c25dde873fa00d54280861e7a009d7dc", size = 91846074 },
-    { url = "https://files.pythonhosted.org/packages/76/49/4a0a8b19ce8f9bf32fcab4e863c7e2366f519f9826c84ca250567b11a014/torch-2.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:46c817d3ea33696ad3b9df5e774dba2257e9a4cd3c4a3afbf92f6bb13ac5ce2d", size = 203000888 },
-    { url = "https://files.pythonhosted.org/packages/25/07/3548a7cfcf69d0eccec2ee79ee3913f1cdaadb27b36946774db86729ee47/torch-2.5.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:8046768b7f6d35b85d101b4b38cba8aa2f3cd51952bc4c06a49580f2ce682291", size = 63876023 },
+    { url = "https://files.pythonhosted.org/packages/37/81/aa9ab58ec10264c1abe62c8b73f5086c3c558885d6beecebf699f0dbeaeb/torch-2.6.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:6860df13d9911ac158f4c44031609700e1eba07916fff62e21e6ffa0a9e01961", size = 766685561 },
+    { url = "https://files.pythonhosted.org/packages/86/86/e661e229df2f5bfc6eab4c97deb1286d598bbeff31ab0cdb99b3c0d53c6f/torch-2.6.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:c4f103a49830ce4c7561ef4434cc7926e5a5fe4e5eb100c19ab36ea1e2b634ab", size = 95751887 },
+    { url = "https://files.pythonhosted.org/packages/20/e0/5cb2f8493571f0a5a7273cd7078f191ac252a402b5fb9cb6091f14879109/torch-2.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:56eeaf2ecac90da5d9e35f7f35eb286da82673ec3c582e310a8d1631a1c02341", size = 204165139 },
+    { url = "https://files.pythonhosted.org/packages/e5/16/ea1b7842413a7b8a5aaa5e99e8eaf3da3183cc3ab345ad025a07ff636301/torch-2.6.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:09e06f9949e1a0518c5b09fe95295bc9661f219d9ecb6f9893e5123e10696628", size = 66520221 },
+    { url = "https://files.pythonhosted.org/packages/78/a9/97cbbc97002fff0de394a2da2cdfa859481fdca36996d7bd845d50aa9d8d/torch-2.6.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:7979834102cd5b7a43cc64e87f2f3b14bd0e1458f06e9f88ffa386d07c7446e1", size = 766715424 },
+    { url = "https://files.pythonhosted.org/packages/6d/fa/134ce8f8a7ea07f09588c9cc2cea0d69249efab977707cf67669431dcf5c/torch-2.6.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:ccbd0320411fe1a3b3fec7b4d3185aa7d0c52adac94480ab024b5c8f74a0bf1d", size = 95759416 },
+    { url = "https://files.pythonhosted.org/packages/11/c5/2370d96b31eb1841c3a0883a492c15278a6718ccad61bb6a649c80d1d9eb/torch-2.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:46763dcb051180ce1ed23d1891d9b1598e07d051ce4c9d14307029809c4d64f7", size = 204164970 },
+    { url = "https://files.pythonhosted.org/packages/0b/fa/f33a4148c6fb46ca2a3f8de39c24d473822d5774d652b66ed9b1214da5f7/torch-2.6.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:94fc63b3b4bedd327af588696559f68c264440e2503cc9e6954019473d74ae21", size = 66530713 },
+    { url = "https://files.pythonhosted.org/packages/e5/35/0c52d708144c2deb595cd22819a609f78fdd699b95ff6f0ebcd456e3c7c1/torch-2.6.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:2bb8987f3bb1ef2675897034402373ddfc8f5ef0e156e2d8cfc47cacafdda4a9", size = 766624563 },
+    { url = "https://files.pythonhosted.org/packages/01/d6/455ab3fbb2c61c71c8842753b566012e1ed111e7a4c82e0e1c20d0c76b62/torch-2.6.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:b789069020c5588c70d5c2158ac0aa23fd24a028f34a8b4fcb8fcb4d7efcf5fb", size = 95607867 },
+    { url = "https://files.pythonhosted.org/packages/18/cf/ae99bd066571656185be0d88ee70abc58467b76f2f7c8bfeb48735a71fe6/torch-2.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:7e1448426d0ba3620408218b50aa6ada88aeae34f7a239ba5431f6c8774b1239", size = 204120469 },
+    { url = "https://files.pythonhosted.org/packages/81/b4/605ae4173aa37fb5aa14605d100ff31f4f5d49f617928c9f486bb3aaec08/torch-2.6.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:9a610afe216a85a8b9bc9f8365ed561535c93e804c2a317ef7fabcc5deda0989", size = 66532538 },
+    { url = "https://files.pythonhosted.org/packages/24/85/ead1349fc30fe5a32cadd947c91bda4a62fbfd7f8c34ee61f6398d38fb48/torch-2.6.0-cp313-cp313-manylinux1_x86_64.whl", hash = "sha256:4874a73507a300a5d089ceaff616a569e7bb7c613c56f37f63ec3ffac65259cf", size = 766626191 },
+    { url = "https://files.pythonhosted.org/packages/dd/b0/26f06f9428b250d856f6d512413e9e800b78625f63801cbba13957432036/torch-2.6.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:a0d5e1b9874c1a6c25556840ab8920569a7a4137afa8a63a32cee0bc7d89bd4b", size = 95611439 },
+    { url = "https://files.pythonhosted.org/packages/c2/9c/fc5224e9770c83faed3a087112d73147cd7c7bfb7557dcf9ad87e1dda163/torch-2.6.0-cp313-cp313-win_amd64.whl", hash = "sha256:510c73251bee9ba02ae1cb6c9d4ee0907b3ce6020e62784e2d7598e0cfa4d6cc", size = 204126475 },
+    { url = "https://files.pythonhosted.org/packages/88/8b/d60c0491ab63634763be1537ad488694d316ddc4a20eaadd639cedc53971/torch-2.6.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:ff96f4038f8af9f7ec4231710ed4549da1bdebad95923953a25045dcf6fd87e2", size = 66536783 },
+    { url = "https://files.pythonhosted.org/packages/40/bb/feb5644baa621fd8e1e88bf51f6fa38ab3f985d472a764144ff4867ac1d6/torch-2.6.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:9ea955317cfcd3852b1402b62af258ce735c2edeee42ca9419b6bc889e5ae053", size = 766680961 },
+    { url = "https://files.pythonhosted.org/packages/ee/11/08774a8198a33263947c59e04b8a0bf85a61a44e82100c46cf833bbce35e/torch-2.6.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:bb2c6c3e65049f081940f5ab15c9136c7de40d3f01192541c920a07c7c585b7e", size = 95782656 },
+    { url = "https://files.pythonhosted.org/packages/c1/0d/56fb07032accbfebb4555638b6002ec5678d0942da85497e40f9405ab756/torch-2.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:683410f97984103148e31b38a8631acf31c3034c020c0f4d26171e7626d8317a", size = 204061417 },
+    { url = "https://files.pythonhosted.org/packages/b3/17/41f681b87290a1d2f1394f943e470f8b0b3c2987b7df8dc078d8831fce5b/torch-2.6.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:265f70de5fd45b864d924b64be1797f86e76c8e48a02c2a3a6fc7ec247d2226c", size = 66520446 },
 ]
 
 [[package]]
 name = "torchrunx"
-version = "0.2.4"
+version = "0.3.0"
 source = { editable = "." }
 dependencies = [
     { name = "cloudpickle" },
     { name = "fabric" },
-    { name = "numpy" },
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "numpy", version = "2.2.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "torch" },
+    { name = "typing-extensions" },
 ]
 
 [package.dev-dependencies]
 dev = [
-    { name = "build" },
-    { name = "pyright" },
+    { name = "pyright", extra = ["nodejs"] },
     { name = "pytest" },
     { name = "ruff" },
-    { name = "twine" },
 ]
-dev-extras = [
+docs = [
+    { name = "furo" },
+    { name = "myst-parser" },
+    { name = "sphinx" },
+    { name = "sphinx-toolbox" },
+]
+test-extras = [
     { name = "submitit" },
     { name = "transformers" },
 ]
@@ -1456,41 +1837,47 @@ requires-dist = [
     { name = "fabric", specifier = ">=3.2" },
     { name = "numpy", specifier = ">=1.20" },
     { name = "torch", specifier = ">=2.0" },
+    { name = "typing-extensions", specifier = ">=4.9.0" },
 ]
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "build" },
-    { name = "pyright" },
-    { name = "pytest" },
-    { name = "ruff" },
-    { name = "twine" },
+    { name = "pyright", extras = ["nodejs"], specifier = "==1.1.393" },
+    { name = "pytest", specifier = "==8.3.4" },
+    { name = "ruff", specifier = "==0.9.5" },
 ]
-dev-extras = [
+docs = [
+    { name = "furo", specifier = "==2024.8.6" },
+    { name = "myst-parser", specifier = "==3.0.1" },
+    { name = "sphinx", specifier = "==7.4.7" },
+    { name = "sphinx-toolbox", specifier = "==3.8.2" },
+]
+test-extras = [
     { name = "submitit" },
     { name = "transformers" },
 ]
 
 [[package]]
 name = "tqdm"
-version = "4.67.0"
+version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "platform_system == 'Windows'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e8/4f/0153c21dc5779a49a0598c445b1978126b1344bab9ee71e53e44877e14e0/tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a", size = 169739 }
+sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/2b/78/57043611a16c655c8350b4c01b8d6abfb38cc2acb475238b62c2146186d7/tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be", size = 78590 },
+    { url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540 },
 ]
 
 [[package]]
 name = "transformers"
-version = "4.46.2"
+version = "4.48.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "filelock" },
     { name = "huggingface-hub" },
-    { name = "numpy" },
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "numpy", version = "2.2.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "packaging" },
     { name = "pyyaml" },
     { name = "regex" },
@@ -1499,43 +1886,21 @@ dependencies = [
     { name = "tokenizers" },
     { name = "tqdm" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/05/6f/8f964f61983e3989c8ff23b5c21464807c6bc6236f36cdd41108222556d9/transformers-4.46.2.tar.gz", hash = "sha256:3d85410881e1c074be767877bf33c83231ec11529f274a6044ecb20c157ba14e", size = 8611717 }
+sdist = { url = "https://files.pythonhosted.org/packages/e3/82/cebeb7af5e64440f1638f18c4ed0f89156d0eeaa6290d98da8ca93ac3872/transformers-4.48.3.tar.gz", hash = "sha256:a5e8f1e9a6430aa78215836be70cecd3f872d99eeda300f41ad6cc841724afdb", size = 8373458 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ed/ad/c9b96572ab7994e73c64588f8875741823f2daba70e746547fff9a2d9a54/transformers-4.46.2-py3-none-any.whl", hash = "sha256:c921f4406b78e6518c97b618c5acd1cf8a4f2315b6b727f4bf9e01496eef849c", size = 10034514 },
+    { url = "https://files.pythonhosted.org/packages/b6/1a/efeecb8d83705f2f4beac98d46f2148c95ecd7babfb31b5c0f1e7017e83d/transformers-4.48.3-py3-none-any.whl", hash = "sha256:78697f990f5ef350c23b46bf86d5081ce96b49479ab180b2de7687267de8fd36", size = 9669412 },
 ]
 
 [[package]]
 name = "triton"
-version = "3.1.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "filelock" },
-]
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/98/29/69aa56dc0b2eb2602b553881e34243475ea2afd9699be042316842788ff5/triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8", size = 209460013 },
-    { url = "https://files.pythonhosted.org/packages/86/17/d9a5cf4fcf46291856d1e90762e36cbabd2a56c7265da0d1d9508c8e3943/triton-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f34f6e7885d1bf0eaaf7ba875a5f0ce6f3c13ba98f9503651c1e6dc6757ed5c", size = 209506424 },
-    { url = "https://files.pythonhosted.org/packages/78/eb/65f5ba83c2a123f6498a3097746607e5b2f16add29e36765305e4ac7fdd8/triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8182f42fd8080a7d39d666814fa36c5e30cc00ea7eeeb1a2983dbb4c99a0fdc", size = 209551444 },
-    { url = "https://files.pythonhosted.org/packages/c4/69/57e0fed438d547524e08bfedc587078314176ad1c15c8be904d3f03149ec/triton-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aafa9a20cd0d9fee523cd4504aa7131807a864cd77dcf6efe7e981f18b8c6c11", size = 209460480 },
-]
-
-[[package]]
-name = "twine"
-version = "5.1.1"
+version = "3.2.0"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "importlib-metadata" },
-    { name = "keyring" },
-    { name = "pkginfo" },
-    { name = "readme-renderer" },
-    { name = "requests" },
-    { name = "requests-toolbelt" },
-    { name = "rfc3986" },
-    { name = "rich" },
-    { name = "urllib3" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/77/68/bd982e5e949ef8334e6f7dcf76ae40922a8750aa2e347291ae1477a4782b/twine-5.1.1.tar.gz", hash = "sha256:9aa0825139c02b3434d913545c7b847a21c835e11597f5255842d457da2322db", size = 225531 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/5d/ec/00f9d5fd040ae29867355e559a94e9a8429225a0284a3f5f091a3878bfc0/twine-5.1.1-py3-none-any.whl", hash = "sha256:215dbe7b4b94c2c50a7315c0275d2258399280fbb7d04182c7e55e24b5f93997", size = 38650 },
+    { url = "https://files.pythonhosted.org/packages/01/65/3ffa90e158a2c82f0716eee8d26a725d241549b7d7aaf7e4f44ac03ebd89/triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3e54983cd51875855da7c68ec05c05cf8bb08df361b1d5b69e05e40b0c9bd62", size = 253090354 },
+    { url = "https://files.pythonhosted.org/packages/a7/2e/757d2280d4fefe7d33af7615124e7e298ae7b8e3bc4446cdb8e88b0f9bab/triton-3.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8009a1fb093ee8546495e96731336a33fb8856a38e45bb4ab6affd6dbc3ba220", size = 253157636 },
+    { url = "https://files.pythonhosted.org/packages/06/00/59500052cb1cf8cf5316be93598946bc451f14072c6ff256904428eaf03c/triton-3.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d9b215efc1c26fa7eefb9a157915c92d52e000d2bf83e5f69704047e63f125c", size = 253159365 },
+    { url = "https://files.pythonhosted.org/packages/c7/30/37a3384d1e2e9320331baca41e835e90a3767303642c7a80d4510152cbcf/triton-3.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5dfa23ba84541d7c0a531dfce76d8bcd19159d50a4a8b14ad01e91734a5c1b0", size = 253154278 },
+    { url = "https://files.pythonhosted.org/packages/bc/74/9f12bdedeb110242d8bb1bd621f6605e753ee0cbf73cf7f3a62b8173f190/triton-3.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:30ceed0eff2c4a73b14eb63e052992f44bbdf175f3fad21e1ac8097a772de7ee", size = 253057866 },
 ]
 
 [[package]]
@@ -1549,60 +1914,95 @@ wheels = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/aa/63/e53da845320b757bf29ef6a9062f5c669fe997973f966045cb019c3f4b66/urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d", size = 307268 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df", size = 128369 },
+]
+
+[[package]]
+name = "webencodings"
+version = "0.5.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ed/63/22ba4ebfe7430b76388e7cd448d5478814d3032121827c12a2cc287e2260/urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9", size = 300677 }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ce/d9/5f4c13cecde62396b0d3fe530a50ccea91e7dfc1ccf0e09c228841bb5ba8/urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac", size = 126338 },
+    { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774 },
 ]
 
 [[package]]
 name = "wrapt"
-version = "1.16.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/95/4c/063a912e20bcef7124e0df97282a8af3ff3e4b603ce84c481d6d7346be0a/wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d", size = 53972 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/a8/c6/5375258add3777494671d8cec27cdf5402abd91016dee24aa2972c61fedf/wrapt-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4", size = 37315 },
-    { url = "https://files.pythonhosted.org/packages/32/12/e11adfde33444986135d8881b401e4de6cbb4cced046edc6b464e6ad7547/wrapt-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020", size = 38160 },
-    { url = "https://files.pythonhosted.org/packages/70/7d/3dcc4a7e96f8d3e398450ec7703db384413f79bd6c0196e0e139055ce00f/wrapt-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb2dee3874a500de01c93d5c71415fcaef1d858370d405824783e7a8ef5db440", size = 80419 },
-    { url = "https://files.pythonhosted.org/packages/d1/c4/8dfdc3c2f0b38be85c8d9fdf0011ebad2f54e40897f9549a356bebb63a97/wrapt-1.16.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a88e6010048489cda82b1326889ec075a8c856c2e6a256072b28eaee3ccf487", size = 72669 },
-    { url = "https://files.pythonhosted.org/packages/49/83/b40bc1ad04a868b5b5bcec86349f06c1ee1ea7afe51dc3e46131e4f39308/wrapt-1.16.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac83a914ebaf589b69f7d0a1277602ff494e21f4c2f743313414378f8f50a4cf", size = 80271 },
-    { url = "https://files.pythonhosted.org/packages/19/d4/cd33d3a82df73a064c9b6401d14f346e1d2fb372885f0295516ec08ed2ee/wrapt-1.16.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:73aa7d98215d39b8455f103de64391cb79dfcad601701a3aa0dddacf74911d72", size = 84748 },
-    { url = "https://files.pythonhosted.org/packages/ef/58/2fde309415b5fa98fd8f5f4a11886cbf276824c4c64d45a39da342fff6fe/wrapt-1.16.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:807cc8543a477ab7422f1120a217054f958a66ef7314f76dd9e77d3f02cdccd0", size = 77522 },
-    { url = "https://files.pythonhosted.org/packages/07/44/359e4724a92369b88dbf09878a7cde7393cf3da885567ea898e5904049a3/wrapt-1.16.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bf5703fdeb350e36885f2875d853ce13172ae281c56e509f4e6eca049bdfb136", size = 84780 },
-    { url = "https://files.pythonhosted.org/packages/88/8f/706f2fee019360cc1da652353330350c76aa5746b4e191082e45d6838faf/wrapt-1.16.0-cp310-cp310-win32.whl", hash = "sha256:f6b2d0c6703c988d334f297aa5df18c45e97b0af3679bb75059e0e0bd8b1069d", size = 35335 },
-    { url = "https://files.pythonhosted.org/packages/19/2b/548d23362e3002ebbfaefe649b833fa43f6ca37ac3e95472130c4b69e0b4/wrapt-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:decbfa2f618fa8ed81c95ee18a387ff973143c656ef800c9f24fb7e9c16054e2", size = 37528 },
-    { url = "https://files.pythonhosted.org/packages/fd/03/c188ac517f402775b90d6f312955a5e53b866c964b32119f2ed76315697e/wrapt-1.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1a5db485fe2de4403f13fafdc231b0dbae5eca4359232d2efc79025527375b09", size = 37313 },
-    { url = "https://files.pythonhosted.org/packages/0f/16/ea627d7817394db04518f62934a5de59874b587b792300991b3c347ff5e0/wrapt-1.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:75ea7d0ee2a15733684badb16de6794894ed9c55aa5e9903260922f0482e687d", size = 38164 },
-    { url = "https://files.pythonhosted.org/packages/7f/a7/f1212ba098f3de0fd244e2de0f8791ad2539c03bef6c05a9fcb03e45b089/wrapt-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a452f9ca3e3267cd4d0fcf2edd0d035b1934ac2bd7e0e57ac91ad6b95c0c6389", size = 80890 },
-    { url = "https://files.pythonhosted.org/packages/b7/96/bb5e08b3d6db003c9ab219c487714c13a237ee7dcc572a555eaf1ce7dc82/wrapt-1.16.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:43aa59eadec7890d9958748db829df269f0368521ba6dc68cc172d5d03ed8060", size = 73118 },
-    { url = "https://files.pythonhosted.org/packages/6e/52/2da48b35193e39ac53cfb141467d9f259851522d0e8c87153f0ba4205fb1/wrapt-1.16.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72554a23c78a8e7aa02abbd699d129eead8b147a23c56e08d08dfc29cfdddca1", size = 80746 },
-    { url = "https://files.pythonhosted.org/packages/11/fb/18ec40265ab81c0e82a934de04596b6ce972c27ba2592c8b53d5585e6bcd/wrapt-1.16.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d2efee35b4b0a347e0d99d28e884dfd82797852d62fcd7ebdeee26f3ceb72cf3", size = 85668 },
-    { url = "https://files.pythonhosted.org/packages/0f/ef/0ecb1fa23145560431b970418dce575cfaec555ab08617d82eb92afc7ccf/wrapt-1.16.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:6dcfcffe73710be01d90cae08c3e548d90932d37b39ef83969ae135d36ef3956", size = 78556 },
-    { url = "https://files.pythonhosted.org/packages/25/62/cd284b2b747f175b5a96cbd8092b32e7369edab0644c45784871528eb852/wrapt-1.16.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:eb6e651000a19c96f452c85132811d25e9264d836951022d6e81df2fff38337d", size = 85712 },
-    { url = "https://files.pythonhosted.org/packages/e5/a7/47b7ff74fbadf81b696872d5ba504966591a3468f1bc86bca2f407baef68/wrapt-1.16.0-cp311-cp311-win32.whl", hash = "sha256:66027d667efe95cc4fa945af59f92c5a02c6f5bb6012bff9e60542c74c75c362", size = 35327 },
-    { url = "https://files.pythonhosted.org/packages/cf/c3/0084351951d9579ae83a3d9e38c140371e4c6b038136909235079f2e6e78/wrapt-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:aefbc4cb0a54f91af643660a0a150ce2c090d3652cf4052a5397fb2de549cd89", size = 37523 },
-    { url = "https://files.pythonhosted.org/packages/92/17/224132494c1e23521868cdd57cd1e903f3b6a7ba6996b7b8f077ff8ac7fe/wrapt-1.16.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5eb404d89131ec9b4f748fa5cfb5346802e5ee8836f57d516576e61f304f3b7b", size = 37614 },
-    { url = "https://files.pythonhosted.org/packages/6a/d7/cfcd73e8f4858079ac59d9db1ec5a1349bc486ae8e9ba55698cc1f4a1dff/wrapt-1.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9090c9e676d5236a6948330e83cb89969f433b1943a558968f659ead07cb3b36", size = 38316 },
-    { url = "https://files.pythonhosted.org/packages/7e/79/5ff0a5c54bda5aec75b36453d06be4f83d5cd4932cc84b7cb2b52cee23e2/wrapt-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94265b00870aa407bd0cbcfd536f17ecde43b94fb8d228560a1e9d3041462d73", size = 86322 },
-    { url = "https://files.pythonhosted.org/packages/c4/81/e799bf5d419f422d8712108837c1d9bf6ebe3cb2a81ad94413449543a923/wrapt-1.16.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2058f813d4f2b5e3a9eb2eb3faf8f1d99b81c3e51aeda4b168406443e8ba809", size = 79055 },
-    { url = "https://files.pythonhosted.org/packages/62/62/30ca2405de6a20448ee557ab2cd61ab9c5900be7cbd18a2639db595f0b98/wrapt-1.16.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98b5e1f498a8ca1858a1cdbffb023bfd954da4e3fa2c0cb5853d40014557248b", size = 87291 },
-    { url = "https://files.pythonhosted.org/packages/49/4e/5d2f6d7b57fc9956bf06e944eb00463551f7d52fc73ca35cfc4c2cdb7aed/wrapt-1.16.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:14d7dc606219cdd7405133c713f2c218d4252f2a469003f8c46bb92d5d095d81", size = 90374 },
-    { url = "https://files.pythonhosted.org/packages/a6/9b/c2c21b44ff5b9bf14a83252a8b973fb84923764ff63db3e6dfc3895cf2e0/wrapt-1.16.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:49aac49dc4782cb04f58986e81ea0b4768e4ff197b57324dcbd7699c5dfb40b9", size = 83896 },
-    { url = "https://files.pythonhosted.org/packages/14/26/93a9fa02c6f257df54d7570dfe8011995138118d11939a4ecd82cb849613/wrapt-1.16.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:418abb18146475c310d7a6dc71143d6f7adec5b004ac9ce08dc7a34e2babdc5c", size = 91738 },
-    { url = "https://files.pythonhosted.org/packages/a2/5b/4660897233eb2c8c4de3dc7cefed114c61bacb3c28327e64150dc44ee2f6/wrapt-1.16.0-cp312-cp312-win32.whl", hash = "sha256:685f568fa5e627e93f3b52fda002c7ed2fa1800b50ce51f6ed1d572d8ab3e7fc", size = 35568 },
-    { url = "https://files.pythonhosted.org/packages/5c/cc/8297f9658506b224aa4bd71906447dea6bb0ba629861a758c28f67428b91/wrapt-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:dcdba5c86e368442528f7060039eda390cc4091bfd1dca41e8046af7c910dda8", size = 37653 },
-    { url = "https://files.pythonhosted.org/packages/70/cc/b92e1da2cad6a9f8ee481000ece07a35e3b24e041e60ff8b850c079f0ebf/wrapt-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9b201ae332c3637a42f02d1045e1d0cccfdc41f1f2f801dafbaa7e9b4797bfc2", size = 37314 },
-    { url = "https://files.pythonhosted.org/packages/4a/cc/3402bcc897978be00fef608cd9e3e39ec8869c973feeb5e1e277670e5ad2/wrapt-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2076fad65c6736184e77d7d4729b63a6d1ae0b70da4868adeec40989858eb3fb", size = 38162 },
-    { url = "https://files.pythonhosted.org/packages/28/d3/4f079f649c515727c127c987b2ec2e0816b80d95784f2d28d1a57d2a1029/wrapt-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5cd603b575ebceca7da5a3a251e69561bec509e0b46e4993e1cac402b7247b8", size = 80235 },
-    { url = "https://files.pythonhosted.org/packages/a3/1c/226c2a4932e578a2241dcb383f425995f80224b446f439c2e112eb51c3a6/wrapt-1.16.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b47cfad9e9bbbed2339081f4e346c93ecd7ab504299403320bf85f7f85c7d46c", size = 72553 },
-    { url = "https://files.pythonhosted.org/packages/b1/e7/459a8a4f40f2fa65eb73cb3f339e6d152957932516d18d0e996c7ae2d7ae/wrapt-1.16.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a", size = 80129 },
-    { url = "https://files.pythonhosted.org/packages/da/6f/6d0b3c4983f1fc764a422989dabc268ee87d937763246cd48aa92f1eed1e/wrapt-1.16.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5f15814a33e42b04e3de432e573aa557f9f0f56458745c2074952f564c50e664", size = 84550 },
-    { url = "https://files.pythonhosted.org/packages/96/e8/27ef35cf61e5147c1c3abcb89cfbb8d691b2bb8364803fcc950140bc14d8/wrapt-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db2e408d983b0e61e238cf579c09ef7020560441906ca990fe8412153e3b291f", size = 77352 },
-    { url = "https://files.pythonhosted.org/packages/b6/ad/7a0766341081bfd9f18a7049e4d6d45586ae5c5bb0a640f05e2f558e849c/wrapt-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537", size = 84626 },
-    { url = "https://files.pythonhosted.org/packages/09/43/b26852e9c45a1aac0d14b1080b25b612fa840ba99739c5fc55db07b7ce08/wrapt-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3", size = 35327 },
-    { url = "https://files.pythonhosted.org/packages/74/f2/96ed140b08743f7f68d5bda35a2a589600781366c3da96f056043d258b1a/wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35", size = 37526 },
-    { url = "https://files.pythonhosted.org/packages/ff/21/abdedb4cdf6ff41ebf01a74087740a709e2edb146490e4d9beea054b0b7a/wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1", size = 23362 },
+version = "1.17.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c3/fc/e91cc220803d7bc4db93fb02facd8461c37364151b8494762cc88b0fbcef/wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3", size = 55531 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5a/d1/1daec934997e8b160040c78d7b31789f19b122110a75eca3d4e8da0049e1/wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984", size = 53307 },
+    { url = "https://files.pythonhosted.org/packages/1b/7b/13369d42651b809389c1a7153baa01d9700430576c81a2f5c5e460df0ed9/wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22", size = 38486 },
+    { url = "https://files.pythonhosted.org/packages/62/bf/e0105016f907c30b4bd9e377867c48c34dc9c6c0c104556c9c9126bd89ed/wrapt-1.17.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:80dd7db6a7cb57ffbc279c4394246414ec99537ae81ffd702443335a61dbf3a7", size = 38777 },
+    { url = "https://files.pythonhosted.org/packages/27/70/0f6e0679845cbf8b165e027d43402a55494779295c4b08414097b258ac87/wrapt-1.17.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a6e821770cf99cc586d33833b2ff32faebdbe886bd6322395606cf55153246c", size = 83314 },
+    { url = "https://files.pythonhosted.org/packages/0f/77/0576d841bf84af8579124a93d216f55d6f74374e4445264cb378a6ed33eb/wrapt-1.17.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b60fb58b90c6d63779cb0c0c54eeb38941bae3ecf7a73c764c52c88c2dcb9d72", size = 74947 },
+    { url = "https://files.pythonhosted.org/packages/90/ec/00759565518f268ed707dcc40f7eeec38637d46b098a1f5143bff488fe97/wrapt-1.17.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b870b5df5b71d8c3359d21be8f0d6c485fa0ebdb6477dda51a1ea54a9b558061", size = 82778 },
+    { url = "https://files.pythonhosted.org/packages/f8/5a/7cffd26b1c607b0b0c8a9ca9d75757ad7620c9c0a9b4a25d3f8a1480fafc/wrapt-1.17.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4011d137b9955791f9084749cba9a367c68d50ab8d11d64c50ba1688c9b457f2", size = 81716 },
+    { url = "https://files.pythonhosted.org/packages/7e/09/dccf68fa98e862df7e6a60a61d43d644b7d095a5fc36dbb591bbd4a1c7b2/wrapt-1.17.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:1473400e5b2733e58b396a04eb7f35f541e1fb976d0c0724d0223dd607e0f74c", size = 74548 },
+    { url = "https://files.pythonhosted.org/packages/b7/8e/067021fa3c8814952c5e228d916963c1115b983e21393289de15128e867e/wrapt-1.17.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3cedbfa9c940fdad3e6e941db7138e26ce8aad38ab5fe9dcfadfed9db7a54e62", size = 81334 },
+    { url = "https://files.pythonhosted.org/packages/4b/0d/9d4b5219ae4393f718699ca1c05f5ebc0c40d076f7e65fd48f5f693294fb/wrapt-1.17.2-cp310-cp310-win32.whl", hash = "sha256:582530701bff1dec6779efa00c516496968edd851fba224fbd86e46cc6b73563", size = 36427 },
+    { url = "https://files.pythonhosted.org/packages/72/6a/c5a83e8f61aec1e1aeef939807602fb880e5872371e95df2137142f5c58e/wrapt-1.17.2-cp310-cp310-win_amd64.whl", hash = "sha256:58705da316756681ad3c9c73fd15499aa4d8c69f9fd38dc8a35e06c12468582f", size = 38774 },
+    { url = "https://files.pythonhosted.org/packages/cd/f7/a2aab2cbc7a665efab072344a8949a71081eed1d2f451f7f7d2b966594a2/wrapt-1.17.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ff04ef6eec3eee8a5efef2401495967a916feaa353643defcc03fc74fe213b58", size = 53308 },
+    { url = "https://files.pythonhosted.org/packages/50/ff/149aba8365fdacef52b31a258c4dc1c57c79759c335eff0b3316a2664a64/wrapt-1.17.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4db983e7bca53819efdbd64590ee96c9213894272c776966ca6306b73e4affda", size = 38488 },
+    { url = "https://files.pythonhosted.org/packages/65/46/5a917ce85b5c3b490d35c02bf71aedaa9f2f63f2d15d9949cc4ba56e8ba9/wrapt-1.17.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9abc77a4ce4c6f2a3168ff34b1da9b0f311a8f1cfd694ec96b0603dff1c79438", size = 38776 },
+    { url = "https://files.pythonhosted.org/packages/ca/74/336c918d2915a4943501c77566db41d1bd6e9f4dbc317f356b9a244dfe83/wrapt-1.17.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b929ac182f5ace000d459c59c2c9c33047e20e935f8e39371fa6e3b85d56f4a", size = 83776 },
+    { url = "https://files.pythonhosted.org/packages/09/99/c0c844a5ccde0fe5761d4305485297f91d67cf2a1a824c5f282e661ec7ff/wrapt-1.17.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f09b286faeff3c750a879d336fb6d8713206fc97af3adc14def0cdd349df6000", size = 75420 },
+    { url = "https://files.pythonhosted.org/packages/b4/b0/9fc566b0fe08b282c850063591a756057c3247b2362b9286429ec5bf1721/wrapt-1.17.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7ed2d9d039bd41e889f6fb9364554052ca21ce823580f6a07c4ec245c1f5d6", size = 83199 },
+    { url = "https://files.pythonhosted.org/packages/9d/4b/71996e62d543b0a0bd95dda485219856def3347e3e9380cc0d6cf10cfb2f/wrapt-1.17.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:129a150f5c445165ff941fc02ee27df65940fcb8a22a61828b1853c98763a64b", size = 82307 },
+    { url = "https://files.pythonhosted.org/packages/39/35/0282c0d8789c0dc9bcc738911776c762a701f95cfe113fb8f0b40e45c2b9/wrapt-1.17.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1fb5699e4464afe5c7e65fa51d4f99e0b2eadcc176e4aa33600a3df7801d6662", size = 75025 },
+    { url = "https://files.pythonhosted.org/packages/4f/6d/90c9fd2c3c6fee181feecb620d95105370198b6b98a0770cba090441a828/wrapt-1.17.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9a2bce789a5ea90e51a02dfcc39e31b7f1e662bc3317979aa7e5538e3a034f72", size = 81879 },
+    { url = "https://files.pythonhosted.org/packages/8f/fa/9fb6e594f2ce03ef03eddbdb5f4f90acb1452221a5351116c7c4708ac865/wrapt-1.17.2-cp311-cp311-win32.whl", hash = "sha256:4afd5814270fdf6380616b321fd31435a462019d834f83c8611a0ce7484c7317", size = 36419 },
+    { url = "https://files.pythonhosted.org/packages/47/f8/fb1773491a253cbc123c5d5dc15c86041f746ed30416535f2a8df1f4a392/wrapt-1.17.2-cp311-cp311-win_amd64.whl", hash = "sha256:acc130bc0375999da18e3d19e5a86403667ac0c4042a094fefb7eec8ebac7cf3", size = 38773 },
+    { url = "https://files.pythonhosted.org/packages/a1/bd/ab55f849fd1f9a58ed7ea47f5559ff09741b25f00c191231f9f059c83949/wrapt-1.17.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d5e2439eecc762cd85e7bd37161d4714aa03a33c5ba884e26c81559817ca0925", size = 53799 },
+    { url = "https://files.pythonhosted.org/packages/53/18/75ddc64c3f63988f5a1d7e10fb204ffe5762bc663f8023f18ecaf31a332e/wrapt-1.17.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3fc7cb4c1c744f8c05cd5f9438a3caa6ab94ce8344e952d7c45a8ed59dd88392", size = 38821 },
+    { url = "https://files.pythonhosted.org/packages/48/2a/97928387d6ed1c1ebbfd4efc4133a0633546bec8481a2dd5ec961313a1c7/wrapt-1.17.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8fdbdb757d5390f7c675e558fd3186d590973244fab0c5fe63d373ade3e99d40", size = 38919 },
+    { url = "https://files.pythonhosted.org/packages/73/54/3bfe5a1febbbccb7a2f77de47b989c0b85ed3a6a41614b104204a788c20e/wrapt-1.17.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bb1d0dbf99411f3d871deb6faa9aabb9d4e744d67dcaaa05399af89d847a91d", size = 88721 },
+    { url = "https://files.pythonhosted.org/packages/25/cb/7262bc1b0300b4b64af50c2720ef958c2c1917525238d661c3e9a2b71b7b/wrapt-1.17.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d18a4865f46b8579d44e4fe1e2bcbc6472ad83d98e22a26c963d46e4c125ef0b", size = 80899 },
+    { url = "https://files.pythonhosted.org/packages/2a/5a/04cde32b07a7431d4ed0553a76fdb7a61270e78c5fd5a603e190ac389f14/wrapt-1.17.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc570b5f14a79734437cb7b0500376b6b791153314986074486e0b0fa8d71d98", size = 89222 },
+    { url = "https://files.pythonhosted.org/packages/09/28/2e45a4f4771fcfb109e244d5dbe54259e970362a311b67a965555ba65026/wrapt-1.17.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6d9187b01bebc3875bac9b087948a2bccefe464a7d8f627cf6e48b1bbae30f82", size = 86707 },
+    { url = "https://files.pythonhosted.org/packages/c6/d2/dcb56bf5f32fcd4bd9aacc77b50a539abdd5b6536872413fd3f428b21bed/wrapt-1.17.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9e8659775f1adf02eb1e6f109751268e493c73716ca5761f8acb695e52a756ae", size = 79685 },
+    { url = "https://files.pythonhosted.org/packages/80/4e/eb8b353e36711347893f502ce91c770b0b0929f8f0bed2670a6856e667a9/wrapt-1.17.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e8b2816ebef96d83657b56306152a93909a83f23994f4b30ad4573b00bd11bb9", size = 87567 },
+    { url = "https://files.pythonhosted.org/packages/17/27/4fe749a54e7fae6e7146f1c7d914d28ef599dacd4416566c055564080fe2/wrapt-1.17.2-cp312-cp312-win32.whl", hash = "sha256:468090021f391fe0056ad3e807e3d9034e0fd01adcd3bdfba977b6fdf4213ea9", size = 36672 },
+    { url = "https://files.pythonhosted.org/packages/15/06/1dbf478ea45c03e78a6a8c4be4fdc3c3bddea5c8de8a93bc971415e47f0f/wrapt-1.17.2-cp312-cp312-win_amd64.whl", hash = "sha256:ec89ed91f2fa8e3f52ae53cd3cf640d6feff92ba90d62236a81e4e563ac0e991", size = 38865 },
+    { url = "https://files.pythonhosted.org/packages/ce/b9/0ffd557a92f3b11d4c5d5e0c5e4ad057bd9eb8586615cdaf901409920b14/wrapt-1.17.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6ed6ffac43aecfe6d86ec5b74b06a5be33d5bb9243d055141e8cabb12aa08125", size = 53800 },
+    { url = "https://files.pythonhosted.org/packages/c0/ef/8be90a0b7e73c32e550c73cfb2fa09db62234227ece47b0e80a05073b375/wrapt-1.17.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:35621ae4c00e056adb0009f8e86e28eb4a41a4bfa8f9bfa9fca7d343fe94f998", size = 38824 },
+    { url = "https://files.pythonhosted.org/packages/36/89/0aae34c10fe524cce30fe5fc433210376bce94cf74d05b0d68344c8ba46e/wrapt-1.17.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a604bf7a053f8362d27eb9fefd2097f82600b856d5abe996d623babd067b1ab5", size = 38920 },
+    { url = "https://files.pythonhosted.org/packages/3b/24/11c4510de906d77e0cfb5197f1b1445d4fec42c9a39ea853d482698ac681/wrapt-1.17.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5cbabee4f083b6b4cd282f5b817a867cf0b1028c54d445b7ec7cfe6505057cf8", size = 88690 },
+    { url = "https://files.pythonhosted.org/packages/71/d7/cfcf842291267bf455b3e266c0c29dcb675b5540ee8b50ba1699abf3af45/wrapt-1.17.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49703ce2ddc220df165bd2962f8e03b84c89fee2d65e1c24a7defff6f988f4d6", size = 80861 },
+    { url = "https://files.pythonhosted.org/packages/d5/66/5d973e9f3e7370fd686fb47a9af3319418ed925c27d72ce16b791231576d/wrapt-1.17.2-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8112e52c5822fc4253f3901b676c55ddf288614dc7011634e2719718eaa187dc", size = 89174 },
+    { url = "https://files.pythonhosted.org/packages/a7/d3/8e17bb70f6ae25dabc1aaf990f86824e4fd98ee9cadf197054e068500d27/wrapt-1.17.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9fee687dce376205d9a494e9c121e27183b2a3df18037f89d69bd7b35bcf59e2", size = 86721 },
+    { url = "https://files.pythonhosted.org/packages/6f/54/f170dfb278fe1c30d0ff864513cff526d624ab8de3254b20abb9cffedc24/wrapt-1.17.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:18983c537e04d11cf027fbb60a1e8dfd5190e2b60cc27bc0808e653e7b218d1b", size = 79763 },
+    { url = "https://files.pythonhosted.org/packages/4a/98/de07243751f1c4a9b15c76019250210dd3486ce098c3d80d5f729cba029c/wrapt-1.17.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:703919b1633412ab54bcf920ab388735832fdcb9f9a00ae49387f0fe67dad504", size = 87585 },
+    { url = "https://files.pythonhosted.org/packages/f9/f0/13925f4bd6548013038cdeb11ee2cbd4e37c30f8bfd5db9e5a2a370d6e20/wrapt-1.17.2-cp313-cp313-win32.whl", hash = "sha256:abbb9e76177c35d4e8568e58650aa6926040d6a9f6f03435b7a522bf1c487f9a", size = 36676 },
+    { url = "https://files.pythonhosted.org/packages/bf/ae/743f16ef8c2e3628df3ddfd652b7d4c555d12c84b53f3d8218498f4ade9b/wrapt-1.17.2-cp313-cp313-win_amd64.whl", hash = "sha256:69606d7bb691b50a4240ce6b22ebb319c1cfb164e5f6569835058196e0f3a845", size = 38871 },
+    { url = "https://files.pythonhosted.org/packages/3d/bc/30f903f891a82d402ffb5fda27ec1d621cc97cb74c16fea0b6141f1d4e87/wrapt-1.17.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:4a721d3c943dae44f8e243b380cb645a709ba5bd35d3ad27bc2ed947e9c68192", size = 56312 },
+    { url = "https://files.pythonhosted.org/packages/8a/04/c97273eb491b5f1c918857cd26f314b74fc9b29224521f5b83f872253725/wrapt-1.17.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:766d8bbefcb9e00c3ac3b000d9acc51f1b399513f44d77dfe0eb026ad7c9a19b", size = 40062 },
+    { url = "https://files.pythonhosted.org/packages/4e/ca/3b7afa1eae3a9e7fefe499db9b96813f41828b9fdb016ee836c4c379dadb/wrapt-1.17.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e496a8ce2c256da1eb98bd15803a79bee00fc351f5dfb9ea82594a3f058309e0", size = 40155 },
+    { url = "https://files.pythonhosted.org/packages/89/be/7c1baed43290775cb9030c774bc53c860db140397047cc49aedaf0a15477/wrapt-1.17.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d615e4fe22f4ad3528448c193b218e077656ca9ccb22ce2cb20db730f8d306", size = 113471 },
+    { url = "https://files.pythonhosted.org/packages/32/98/4ed894cf012b6d6aae5f5cc974006bdeb92f0241775addad3f8cd6ab71c8/wrapt-1.17.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a5aaeff38654462bc4b09023918b7f21790efb807f54c000a39d41d69cf552cb", size = 101208 },
+    { url = "https://files.pythonhosted.org/packages/ea/fd/0c30f2301ca94e655e5e057012e83284ce8c545df7661a78d8bfca2fac7a/wrapt-1.17.2-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a7d15bbd2bc99e92e39f49a04653062ee6085c0e18b3b7512a4f2fe91f2d681", size = 109339 },
+    { url = "https://files.pythonhosted.org/packages/75/56/05d000de894c4cfcb84bcd6b1df6214297b8089a7bd324c21a4765e49b14/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e3890b508a23299083e065f435a492b5435eba6e304a7114d2f919d400888cc6", size = 110232 },
+    { url = "https://files.pythonhosted.org/packages/53/f8/c3f6b2cf9b9277fb0813418e1503e68414cd036b3b099c823379c9575e6d/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:8c8b293cd65ad716d13d8dd3624e42e5a19cc2a2f1acc74b30c2c13f15cb61a6", size = 100476 },
+    { url = "https://files.pythonhosted.org/packages/a7/b1/0bb11e29aa5139d90b770ebbfa167267b1fc548d2302c30c8f7572851738/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c82b8785d98cdd9fed4cac84d765d234ed3251bd6afe34cb7ac523cb93e8b4f", size = 106377 },
+    { url = "https://files.pythonhosted.org/packages/6a/e1/0122853035b40b3f333bbb25f1939fc1045e21dd518f7f0922b60c156f7c/wrapt-1.17.2-cp313-cp313t-win32.whl", hash = "sha256:13e6afb7fe71fe7485a4550a8844cc9ffbe263c0f1a1eea569bc7091d4898555", size = 37986 },
+    { url = "https://files.pythonhosted.org/packages/09/5e/1655cf481e079c1f22d0cabdd4e51733679932718dc23bf2db175f329b76/wrapt-1.17.2-cp313-cp313t-win_amd64.whl", hash = "sha256:eaf675418ed6b3b31c7a989fd007fa7c3be66ce14e5c3b27336383604c9da85c", size = 40750 },
+    { url = "https://files.pythonhosted.org/packages/8a/f4/6ed2b8f6f1c832933283974839b88ec7c983fd12905e01e97889dadf7559/wrapt-1.17.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:99039fa9e6306880572915728d7f6c24a86ec57b0a83f6b2491e1d8ab0235b9a", size = 53308 },
+    { url = "https://files.pythonhosted.org/packages/a2/a9/712a53f8f4f4545768ac532619f6e56d5d0364a87b2212531685e89aeef8/wrapt-1.17.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2696993ee1eebd20b8e4ee4356483c4cb696066ddc24bd70bcbb80fa56ff9061", size = 38489 },
+    { url = "https://files.pythonhosted.org/packages/fa/9b/e172c8f28a489a2888df18f953e2f6cb8d33b1a2e78c9dfc52d8bf6a5ead/wrapt-1.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:612dff5db80beef9e649c6d803a8d50c409082f1fedc9dbcdfde2983b2025b82", size = 38776 },
+    { url = "https://files.pythonhosted.org/packages/cf/cb/7a07b51762dcd59bdbe07aa97f87b3169766cadf240f48d1cbe70a1be9db/wrapt-1.17.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62c2caa1585c82b3f7a7ab56afef7b3602021d6da34fbc1cf234ff139fed3cd9", size = 83050 },
+    { url = "https://files.pythonhosted.org/packages/a5/51/a42757dd41032afd6d8037617aa3bc6803ba971850733b24dfb7d5c627c4/wrapt-1.17.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c958bcfd59bacc2d0249dcfe575e71da54f9dcf4a8bdf89c4cb9a68a1170d73f", size = 74718 },
+    { url = "https://files.pythonhosted.org/packages/bf/bb/d552bfe47db02fcfc950fc563073a33500f8108efa5f7b41db2f83a59028/wrapt-1.17.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc78a84e2dfbc27afe4b2bd7c80c8db9bca75cc5b85df52bfe634596a1da846b", size = 82590 },
+    { url = "https://files.pythonhosted.org/packages/77/99/77b06b3c3c410dbae411105bf22496facf03a5496bfaca8fbcf9da381889/wrapt-1.17.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba0f0eb61ef00ea10e00eb53a9129501f52385c44853dbd6c4ad3f403603083f", size = 81462 },
+    { url = "https://files.pythonhosted.org/packages/2d/21/cf0bd85ae66f92600829ea1de8e1da778e5e9f6e574ccbe74b66db0d95db/wrapt-1.17.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1e1fe0e6ab7775fd842bc39e86f6dcfc4507ab0ffe206093e76d61cde37225c8", size = 74309 },
+    { url = "https://files.pythonhosted.org/packages/6d/16/112d25e9092398a0dd6fec50ab7ac1b775a0c19b428f049785096067ada9/wrapt-1.17.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c86563182421896d73858e08e1db93afdd2b947a70064b813d515d66549e15f9", size = 81081 },
+    { url = "https://files.pythonhosted.org/packages/2b/49/364a615a0cc0872685646c495c7172e4fc7bf1959e3b12a1807a03014e05/wrapt-1.17.2-cp39-cp39-win32.whl", hash = "sha256:f393cda562f79828f38a819f4788641ac7c4085f30f1ce1a68672baa686482bb", size = 36423 },
+    { url = "https://files.pythonhosted.org/packages/00/ad/5d2c1b34ba3202cd833d9221833e74d6500ce66730974993a8dc9a94fb8c/wrapt-1.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:36ccae62f64235cf8ddb682073a60519426fdd4725524ae38874adf72b5f2aeb", size = 38772 },
+    { url = "https://files.pythonhosted.org/packages/2d/82/f56956041adef78f849db6b289b282e72b55ab8045a75abad81898c28d19/wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8", size = 23594 },
 ]
 
 [[package]]