From b356b33059bdeeaf1584d9d189cbf1c4832e367c Mon Sep 17 00:00:00 2001
From: "Peter W. J. Staar" <91719829+PeterStaar-IBM@users.noreply.github.com>
Date: Wed, 28 May 2025 13:10:38 +0200
Subject: [PATCH 1/9] feat: Add visualization of bbox on page with html export.
 (#1663)

* feat: Add visualization of bbox on page with html export.

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* updated the cli

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* reformatted code

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* updated the cli argument to show_layout

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

---------

Signed-off-by: Peter Staar <taa@zurich.ibm.com>
---
 docling/cli/main.py |  39 ++-
 poetry.lock         | 734 +++++++++++++++++++++++++++++++++++++++-----
 pyproject.toml      |   2 +-
 3 files changed, 699 insertions(+), 76 deletions(-)

diff --git a/docling/cli/main.py b/docling/cli/main.py
index 98a4c8d7..347c2613 100644
--- a/docling/cli/main.py
+++ b/docling/cli/main.py
@@ -12,6 +12,12 @@ from typing import Annotated, Dict, List, Optional, Type
 
 import rich.table
 import typer
+from docling_core.transforms.serializer.html import (
+    HTMLDocSerializer,
+    HTMLOutputStyle,
+    HTMLParams,
+)
+from docling_core.transforms.visualizer.layout_visualizer import LayoutVisualizer
 from docling_core.types.doc import ImageRefMode
 from docling_core.utils.file import resolve_source_to_path
 from pydantic import TypeAdapter
@@ -156,6 +162,7 @@ def export_documents(
     export_json: bool,
     export_html: bool,
     export_html_split_page: bool,
+    show_layout: bool,
     export_md: bool,
     export_txt: bool,
     export_doctags: bool,
@@ -189,9 +196,27 @@ def export_documents(
             if export_html_split_page:
                 fname = output_dir / f"{doc_filename}.html"
                 _log.info(f"writing HTML output to {fname}")
-                conv_res.document.save_as_html(
-                    filename=fname, image_mode=image_export_mode, split_page_view=True
-                )
+                if show_layout:
+                    ser = HTMLDocSerializer(
+                        doc=conv_res.document,
+                        params=HTMLParams(
+                            image_mode=image_export_mode,
+                            output_style=HTMLOutputStyle.SPLIT_PAGE,
+                        ),
+                    )
+                    visualizer = LayoutVisualizer()
+                    visualizer.params.show_label = False
+                    ser_res = ser.serialize(
+                        visualizer=visualizer,
+                    )
+                    with open(fname, "w") as fw:
+                        fw.write(ser_res.text)
+                else:
+                    conv_res.document.save_as_html(
+                        filename=fname,
+                        image_mode=image_export_mode,
+                        split_page_view=True,
+                    )
 
             # Export Text format:
             if export_txt:
@@ -250,6 +275,13 @@ def convert(  # noqa: C901
     to_formats: List[OutputFormat] = typer.Option(
         None, "--to", help="Specify output formats. Defaults to Markdown."
     ),
+    show_layout: Annotated[
+        bool,
+        typer.Option(
+            ...,
+            help="If enabled, the page images will show the bounding-boxes of the items.",
+        ),
+    ] = False,
     headers: str = typer.Option(
         None,
         "--headers",
@@ -596,6 +628,7 @@ def convert(  # noqa: C901
             export_json=export_json,
             export_html=export_html,
             export_html_split_page=export_html_split_page,
+            show_layout=show_layout,
             export_md=export_md,
             export_txt=export_txt,
             export_doctags=export_doctags,
diff --git a/poetry.lock b/poetry.lock
index 95c0ae5f..12c1b15c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -6,6 +6,8 @@ version = "1.6.0"
 description = "Accelerate"
 optional = true
 python-versions = ">=3.9.0"
+groups = ["main"]
+markers = "(sys_platform != \"darwin\" or platform_machine != \"x86_64\") and extra == \"vlm\" and platform_machine == \"aarch64\" and platform_system == \"Linux\""
 files = [
     {file = "accelerate-1.6.0-py3-none-any.whl", hash = "sha256:1aee717d3d3735ad6d09710a7c26990ee4652b79b4e93df46551551b5227c2aa"},
     {file = "accelerate-1.6.0.tar.gz", hash = "sha256:28c1ef1846e690944f98b68dc7b8bb6c51d032d45e85dcbb3adb0c8b99dffb32"},
@@ -37,6 +39,8 @@ version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
     {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
@@ -48,6 +52,8 @@ version = "3.11.18"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:96264854fedbea933a9ca4b7e0c745728f01380691687b7365d18d9e977179c4"},
     {file = "aiohttp-3.11.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9602044ff047043430452bc3a2089743fa85da829e6fc9ee0025351d66c332b6"},
@@ -143,7 +149,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -151,6 +157,8 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -165,6 +173,8 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -176,6 +186,8 @@ version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
     {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
@@ -189,7 +201,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -198,6 +210,8 @@ version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Darwin\""
 files = [
     {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
     {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
@@ -209,6 +223,8 @@ version = "2.15.8"
 description = "An abstract syntax tree for Python with inference support."
 optional = false
 python-versions = ">=3.7.2"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"},
     {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"},
@@ -228,6 +244,8 @@ version = "3.0.0"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
     {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
@@ -243,6 +261,8 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" or python_version == \"3.10\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -254,18 +274,20 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "autopep8"
@@ -273,6 +295,8 @@ version = "2.2.0"
 description = "A tool that automatically formats Python code to conform to the PEP 8 style guide"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "autopep8-2.2.0-py2.py3-none-any.whl", hash = "sha256:05418a981f038969d8bdcd5636bf15948db7555ae944b9f79b5a34b35f1370d4"},
     {file = "autopep8-2.2.0.tar.gz", hash = "sha256:d306a0581163ac29908280ad557773a95a9bede072c0fafed6f141f5311f43c1"},
@@ -288,13 +312,15 @@ version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
     {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
 ]
 
 [package.extras]
-dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
 [[package]]
 name = "backports-tarfile"
@@ -302,6 +328,8 @@ version = "1.2.0"
 description = "Backport of CPython tarfile module"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version == \"3.10\" or python_version == \"3.11\" or sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""
 files = [
     {file = "backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34"},
     {file = "backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991"},
@@ -317,6 +345,8 @@ version = "5.8"
 description = "A wrapper around re and regex that adds additional back references."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "backrefs-5.8-py310-none-any.whl", hash = "sha256:c67f6638a34a5b8730812f5101376f9d41dc38c43f1fdc35cb54700f6ed4465d"},
     {file = "backrefs-5.8-py311-none-any.whl", hash = "sha256:2e1c15e4af0e12e45c8701bd5da0902d326b2e200cafcd25e49d9f06d44bb61b"},
@@ -335,6 +365,8 @@ version = "4.13.4"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"},
     {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
@@ -357,6 +389,8 @@ version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "black-24.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6668650ea4b685440857138e5fe40cde4d652633b1bdffc62933d0db4ed9812"},
     {file = "black-24.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1c536fcf674217e87b8cc3657b81809d3c085d7bf3ef262ead700da345bfa6ea"},
@@ -405,6 +439,8 @@ version = "6.2.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"},
     {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"},
@@ -423,6 +459,8 @@ version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"},
     {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"},
@@ -434,6 +472,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -503,6 +542,7 @@ files = [
     {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
     {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
 ]
+markers = {dev = "implementation_name == \"pypy\" or sys_platform == \"linux\" and platform_python_implementation != \"PyPy\"", docs = "implementation_name == \"pypy\""}
 
 [package.dependencies]
 pycparser = "*"
@@ -513,6 +553,8 @@ version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -524,6 +566,8 @@ version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941"},
     {file = "charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd"},
@@ -625,6 +669,8 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -639,6 +685,8 @@ version = "0.4.0"
 description = "Logging integration for Click"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "click-log-0.4.0.tar.gz", hash = "sha256:3970f8570ac54491237bcdb3d8ab5e3eef6c057df29f8c3d1151a51a9c23b975"},
     {file = "click_log-0.4.0-py2.py3-none-any.whl", hash = "sha256:a43e394b528d52112af599f2fc9e4b7cf3c15f94e53581f74fa6867e68c91756"},
@@ -653,10 +701,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev", "docs", "examples"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
+markers = {main = "platform_system == \"Windows\"", dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", examples = "platform_system == \"Windows\""}
 
 [[package]]
 name = "coloredlogs"
@@ -664,6 +714,8 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "extra == \"rapidocr\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -681,6 +733,8 @@ version = "0.2.2"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"},
     {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"},
@@ -698,6 +752,8 @@ version = "7.8.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "coverage-7.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2931f66991175369859b5fd58529cd4b73582461877ecfd859b6549869287ffe"},
     {file = "coverage-7.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:52a523153c568d2c0ef8826f6cc23031dc86cffb8c6aeab92c4ff776e7951b28"},
@@ -768,7 +824,7 @@ files = [
 tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
 
 [package.extras]
-toml = ["tomli"]
+toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "cryptography"
@@ -776,6 +832,8 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "sys_platform == \"linux\""
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -825,6 +883,8 @@ version = "2.21.0"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "datasets-2.21.0-py3-none-any.whl", hash = "sha256:25e4e097110ce28824b746a107727ada94024cba11db8bc588d468414692b65a"},
     {file = "datasets-2.21.0.tar.gz", hash = "sha256:998f85a8460f1bd982e5bd058f8a0808eef424249e3df1e8cdd594ccd0dc8ba2"},
@@ -848,9 +908,9 @@ xxhash = "*"
 
 [package.extras]
 apache-beam = ["apache-beam (>=2.26.0)"]
-audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk (<3.8.2)", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
@@ -858,8 +918,8 @@ quality = ["ruff (>=0.3.0)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.6.0)"]
 tensorflow-gpu = ["tensorflow (>=2.6.0)"]
-tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
-tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "typing-extensions (>=4.6.1)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=9.4.0)"]
 
@@ -869,6 +929,8 @@ version = "1.8.14"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "debugpy-1.8.14-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:93fee753097e85623cab1c0e6a68c76308cd9f13ffdf44127e6fab4fbf024339"},
     {file = "debugpy-1.8.14-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d937d93ae4fa51cdc94d3e865f535f185d5f9748efb41d0d49e33bf3365bd79"},
@@ -904,6 +966,8 @@ version = "5.2.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
     {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
@@ -915,6 +979,8 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -926,6 +992,8 @@ version = "0.3.8"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
     {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
@@ -941,6 +1009,8 @@ version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
     {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
@@ -948,13 +1018,15 @@ files = [
 
 [[package]]
 name = "docling-core"
-version = "2.30.0"
+version = "2.31.2"
 description = "A python library to define and validate data types in Docling."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "docling_core-2.30.0-py3-none-any.whl", hash = "sha256:976648b95b44d1a0f5540b949a38aee284e9f078b4411385f8a31cd50b17573e"},
-    {file = "docling_core-2.30.0.tar.gz", hash = "sha256:5f064f80584803ae1e7b2818d6977ef2df7cd2e20168c7065443b07cc9de435f"},
+    {file = "docling_core-2.31.2-py3-none-any.whl", hash = "sha256:a6db62ac49febcc9e3e24a9acf58e88342ad7f76ab03217b6a3365509eb12eda"},
+    {file = "docling_core-2.31.2.tar.gz", hash = "sha256:6d61863ce492affc45aa522c291631db0be7c50dc146cb93c42af7ff00bd22a2"},
 ]
 
 [package.dependencies]
@@ -981,6 +1053,8 @@ version = "3.4.3"
 description = "This package contains the AI models used by the Docling PDF conversion package"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docling_ibm_models-3.4.3-py3-none-any.whl", hash = "sha256:9a9a0cb0e892985f38adb1057d9c57be135a8f91283bad02fb738c2eac5709ec"},
     {file = "docling_ibm_models-3.4.3.tar.gz", hash = "sha256:f172334f4a723ad3ab91304d759ca887cce9f283179d60cc7c7167d920b57909"},
@@ -1002,8 +1076,8 @@ torch = ">=2.2.2,<3.0.0"
 torchvision = ">=0,<1"
 tqdm = ">=4.64.0,<5.0.0"
 transformers = [
-    {version = ">=4.42.0,<5.0.0", markers = "sys_platform != \"darwin\" and python_version < \"3.13\" or platform_machine != \"x86_64\" and python_version < \"3.13\""},
-    {version = ">=4.47.0,<5.0.0", markers = "python_version >= \"3.13\" and sys_platform != \"darwin\" or python_version >= \"3.13\" and platform_machine != \"x86_64\""},
+    {version = ">=4.42.0,<5.0.0", markers = "sys_platform != \"darwin\" or platform_machine != \"x86_64\""},
+    {version = ">=4.47.0,<5.0.0", markers = "python_version >= \"3.13\" and (sys_platform != \"darwin\" or platform_machine != \"x86_64\")"},
     {version = ">=4.42.0,<4.43.0", markers = "python_version < \"3.13\" and sys_platform == \"darwin\" and platform_machine == \"x86_64\""},
 ]
 
@@ -1013,6 +1087,8 @@ version = "4.0.1"
 description = "Simple package to extract text with coordinates from programmatic PDFs"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docling_parse-4.0.1-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:bd6faa40bf305a47b0ecd4f3ddbd6680ea6052ba70ec3e355e502eb80ca1c648"},
     {file = "docling_parse-4.0.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:ebf6c7b971c665fd1b0ddb90ba3ba0d5afba9e62ae281453e2a2ea57c46ada2b"},
@@ -1057,6 +1133,8 @@ version = "0.21.2"
 description = "Docutils -- Python Documentation Utilities"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2"},
     {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"},
@@ -1068,6 +1146,8 @@ version = "1.3.1"
 description = "Dictionary wrapper for quick access to deeply nested keys."
 optional = false
 python-versions = ">=3.5,<4.0"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "dotty_dict-1.3.1-py3-none-any.whl", hash = "sha256:5022d234d9922f13aa711b4950372a06a6d64cb6d6db9ba43d0ba133ebfce31f"},
     {file = "dotty_dict-1.3.1.tar.gz", hash = "sha256:4b016e03b8ae265539757a53eba24b9bfda506fb94fbce0bee843c6f05541a15"},
@@ -1079,6 +1159,8 @@ version = "1.7.2"
 description = "End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "easyocr-1.7.2-py3-none-any.whl", hash = "sha256:5be12f9b0e595d443c9c3d10b0542074b50f0ec2d98b141a109cd961fd1c177c"},
 ]
@@ -1103,6 +1185,8 @@ version = "2.0.0"
 description = "An implementation of lxml.xmlfile for the standard library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
     {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
@@ -1114,6 +1198,8 @@ version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev", "docs", "examples"]
+markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" or python_version == \"3.10\""
 files = [
     {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
     {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
@@ -1131,6 +1217,8 @@ version = "2.1.1"
 description = "execnet: rapid multi-Python deployment"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
     {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"},
@@ -1145,13 +1233,15 @@ version = "2.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"},
     {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"},
 ]
 
 [package.extras]
-tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
 
 [[package]]
 name = "fastjsonschema"
@@ -1159,6 +1249,8 @@ version = "2.21.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"},
     {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"},
@@ -1173,6 +1265,8 @@ version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
     {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
@@ -1181,7 +1275,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "filetype"
@@ -1189,6 +1283,8 @@ version = "1.2.0"
 description = "Infer file type and MIME type of any file/buffer. No external dependencies."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
@@ -1200,6 +1296,8 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -1216,6 +1314,8 @@ version = "1.2.3"
 description = "Flake8 plug-in loading the configuration from pyproject.toml"
 optional = false
 python-versions = ">= 3.6"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "flake8_pyproject-1.2.3-py3-none-any.whl", hash = "sha256:6249fe53545205af5e76837644dc80b4c10037e73a0e5db87ff562d75fb5bd4a"},
 ]
@@ -1233,6 +1333,8 @@ version = "25.2.10"
 description = "The FlatBuffers serialization format for Python"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"rapidocr\""
 files = [
     {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
     {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
@@ -1244,6 +1346,8 @@ version = "1.6.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "frozenlist-1.6.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e6e558ea1e47fd6fa8ac9ccdad403e5dd5ecc6ed8dda94343056fa4277d5c65e"},
     {file = "frozenlist-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4b3cd7334a4bbc0c472164f3744562cb72d05002cc6fcf58adb104630bbc352"},
@@ -1357,6 +1461,8 @@ version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
     {file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
@@ -1399,6 +1505,8 @@ version = "2.1.0"
 description = "Copy your docs directly to the gh-pages branch."
 optional = false
 python-versions = "*"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"},
     {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"},
@@ -1416,6 +1524,8 @@ version = "4.0.12"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
     {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
@@ -1430,6 +1540,8 @@ version = "3.1.44"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110"},
     {file = "gitpython-3.1.44.tar.gz", hash = "sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269"},
@@ -1440,7 +1552,7 @@ gitdb = ">=4.0.1,<5"
 
 [package.extras]
 doc = ["sphinx (>=7.1.2,<7.2)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"]
-test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
+test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""]
 
 [[package]]
 name = "griffe"
@@ -1448,6 +1560,8 @@ version = "1.7.3"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "griffe-1.7.3-py3-none-any.whl", hash = "sha256:c6b3ee30c2f0f17f30bcdef5068d6ab7a2a4f1b8bf1a3e74b56fffd21e1c5f75"},
     {file = "griffe-1.7.3.tar.gz", hash = "sha256:52ee893c6a3a968b639ace8015bec9d36594961e156e23315c8e8e51401fa50b"},
@@ -1462,6 +1576,8 @@ version = "1.1.4"
 description = "Griffe extension for Pydantic."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "griffe_pydantic-1.1.4-py3-none-any.whl", hash = "sha256:a4b9933579e14a8296cae90e71dace2742d91cb6792e5cd583047a6079f94e78"},
     {file = "griffe_pydantic-1.1.4.tar.gz", hash = "sha256:3ce97cedb2c15b696e0c1c4bb901411f5b83b8e4d57b1fc0f2becde678ab4870"},
@@ -1476,6 +1592,8 @@ version = "1.67.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "grpcio-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:8b0341d66a57f8a3119b77ab32207072be60c9bf79760fa609c5609f2deb1f3f"},
     {file = "grpcio-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:f5a27dddefe0e2357d3e617b9079b4bfdc91341a91565111a21ed6ebbc51b22d"},
@@ -1543,6 +1661,8 @@ version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -1554,6 +1674,8 @@ version = "1.1.1"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "examples"]
+markers = "platform_machine == \"x86_64\" or platform_machine == \"aarch64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")"
 files = [
     {file = "hf_xet-1.1.1-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e39a8513f0854656116c837d387d9a41e9d78430b1a181442f04c223cbc4e8f8"},
     {file = "hf_xet-1.1.1-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:c60cd67be384cb9e592fa6dfd29a10fddffa1feb2f3b31f53e980630d1ca0fd6"},
@@ -1574,6 +1696,8 @@ version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -1595,6 +1719,8 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1607,7 +1733,7 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -1619,6 +1745,8 @@ version = "0.31.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "huggingface_hub-0.31.1-py3-none-any.whl", hash = "sha256:43f73124819b48b42d140cbc0d7a2e6bd15b2853b1b9d728d4d55ad1750cac5b"},
     {file = "huggingface_hub-0.31.1.tar.gz", hash = "sha256:492bb5f545337aa9e2f59b75ef4c5f535a371e8958a6ce90af056387e67f1180"},
@@ -1655,6 +1783,8 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "extra == \"rapidocr\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -1669,6 +1799,8 @@ version = "2.6.10"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "identify-2.6.10-py2.py3-none-any.whl", hash = "sha256:5f34248f54136beed1a7ba6a6b5c4b6cf21ff495aac7c359e1ef831ae3b8ab25"},
     {file = "identify-2.6.10.tar.gz", hash = "sha256:45e92fd704f3da71cc3880036633f48b4b7265fd4de2b57627cb157216eb7eb8"},
@@ -1683,6 +1815,8 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1697,6 +1831,8 @@ version = "2.37.0"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "imageio-2.37.0-py3-none-any.whl", hash = "sha256:11efa15b87bc7871b61590326b2d635439acc321cf7f8ce996f812543ce10eed"},
     {file = "imageio-2.37.0.tar.gz", hash = "sha256:71b57b3669666272c818497aebba2b4c5f20d5b37c81720e5e1a56d59c492996"},
@@ -1730,21 +1866,23 @@ version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev", "docs"]
 files = [
     {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
     {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
 ]
+markers = {dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""}
 
 [package.dependencies]
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1753,6 +1891,8 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -1764,6 +1904,8 @@ version = "2.2.0"
 description = "Pythonic task execution"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "invoke-2.2.0-py3-none-any.whl", hash = "sha256:6ea924cc53d4f78e3d98bc436b08069a03077e6f85ad1ddaa8a116d7dad15820"},
     {file = "invoke-2.2.0.tar.gz", hash = "sha256:ee6cbb101af1a859c7fe84f2a264c059020b0cb7fe3535f9424300ab568f6bd5"},
@@ -1775,6 +1917,8 @@ version = "6.29.5"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
     {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
@@ -1808,6 +1952,8 @@ version = "8.18.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
     {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
@@ -1845,6 +1991,8 @@ version = "8.1.7"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb"},
     {file = "ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376"},
@@ -1866,6 +2014,8 @@ version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -1880,6 +2030,8 @@ version = "3.4.0"
 description = "Utility functions for Python class constructs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790"},
     {file = "jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd"},
@@ -1898,6 +2050,8 @@ version = "6.0.1"
 description = "Useful decorators and context managers"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jaraco.context-6.0.1-py3-none-any.whl", hash = "sha256:f797fc481b490edb305122c9181830a3a5b76d84ef6d1aef2fb9b47ab956f9e4"},
     {file = "jaraco_context-6.0.1.tar.gz", hash = "sha256:9bae4ea555cf0b14938dc0aee7c9f32ed303aa20a3b73e7dc80111628792d1b3"},
@@ -1908,7 +2062,7 @@ files = [
 
 [package.extras]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-test = ["portend", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+test = ["portend", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 
 [[package]]
 name = "jaraco-functools"
@@ -1916,6 +2070,8 @@ version = "4.1.0"
 description = "Functools like those found in stdlib"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jaraco.functools-4.1.0-py3-none-any.whl", hash = "sha256:ad159f13428bc4acbf5541ad6dec511f91573b90fba04df61dafa2a1231cf649"},
     {file = "jaraco_functools-4.1.0.tar.gz", hash = "sha256:70f7e0e2ae076498e212562325e805204fc092d7b4c17e0e86c959e249701a9d"},
@@ -1925,7 +2081,7 @@ files = [
 more-itertools = "*"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -1938,6 +2094,8 @@ version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
     {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
@@ -1957,13 +2115,15 @@ version = "0.9.0"
 description = "Low-level, pure Python DBus protocol wrapper."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "sys_platform == \"linux\""
 files = [
     {file = "jeepney-0.9.0-py3-none-any.whl", hash = "sha256:97e5714520c16fc0a45695e5365a2e11b81ea79bba796e26f9f1d178cb182683"},
     {file = "jeepney-0.9.0.tar.gz", hash = "sha256:cf0e9e845622b81e4a28df94c40345400256ec608d0e55bb8a3feaa9163f5732"},
 ]
 
 [package.extras]
-test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
+test = ["async-timeout ; python_version < \"3.11\"", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
 trio = ["trio"]
 
 [[package]]
@@ -1972,6 +2132,8 @@ version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "docs", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -1989,6 +2151,8 @@ version = "1.5.0"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "joblib-1.5.0-py3-none-any.whl", hash = "sha256:206144b320246485b712fc8cc51f017de58225fa8b414a1fe1764a7231aca491"},
     {file = "joblib-1.5.0.tar.gz", hash = "sha256:d8757f955389a3dd7a23152e43bc297c2e0c2d3060056dad0feefc88a06939b5"},
@@ -2000,6 +2164,8 @@ version = "3.1.0"
 description = "Library with helpers for the jsonlines file format"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonlines-3.1.0-py3-none-any.whl", hash = "sha256:632f5e38f93dfcb1ac8c4e09780b92af3a55f38f26e7c47ae85109d420b6ad39"},
     {file = "jsonlines-3.1.0.tar.gz", hash = "sha256:2579cb488d96f815b0eb81629e3e6b0332da0962a18fa3532958f7ba14a5c37f"},
@@ -2014,6 +2180,8 @@ version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -2028,6 +2196,8 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -2039,6 +2209,8 @@ version = "1.1.0"
 description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonref-1.1.0-py3-none-any.whl", hash = "sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9"},
     {file = "jsonref-1.1.0.tar.gz", hash = "sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552"},
@@ -2050,6 +2222,8 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -2071,6 +2245,8 @@ version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"},
     {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
@@ -2085,6 +2261,8 @@ version = "8.6.3"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"},
     {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"},
@@ -2100,7 +2278,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
@@ -2108,6 +2286,8 @@ version = "5.7.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
     {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
@@ -2128,6 +2308,8 @@ version = "0.3.0"
 description = "Pygments theme using JupyterLab CSS variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
     {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
@@ -2139,6 +2321,8 @@ version = "3.0.15"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyterlab_widgets-3.0.15-py3-none-any.whl", hash = "sha256:d59023d7d7ef71400d51e6fee9a88867f6e65e10a4201605d2d7f3e8f012a31c"},
     {file = "jupyterlab_widgets-3.0.15.tar.gz", hash = "sha256:2920888a0c2922351a9202817957a68c07d99673504d6cd37345299e971bb08b"},
@@ -2150,6 +2334,8 @@ version = "1.17.1"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupytext-1.17.1-py3-none-any.whl", hash = "sha256:99145b1e1fa96520c21ba157de7d354ffa4904724dcebdcd70b8413688a312de"},
     {file = "jupytext-1.17.1.tar.gz", hash = "sha256:c02fda8af76ffd6e064a04cf2d3cc8aae242b2f0e38c42b4cd80baf89c3325d3"},
@@ -2179,6 +2365,8 @@ version = "25.6.0"
 description = "Store and access your passwords safely."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "keyring-25.6.0-py3-none-any.whl", hash = "sha256:552a3f7af126ece7ed5c89753650eec89c7eaae8617d0aa4d9ad2b75111266bd"},
     {file = "keyring-25.6.0.tar.gz", hash = "sha256:0b39998aa941431eb3d9b0d4b2460bc773b9df6fed7621c2dfb291a7e0187a66"},
@@ -2194,7 +2382,7 @@ pywin32-ctypes = {version = ">=0.2.0", markers = "sys_platform == \"win32\""}
 SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 completion = ["shtab (>=1.1.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
@@ -2208,6 +2396,8 @@ version = "0.2.43"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_core-0.2.43-py3-none-any.whl", hash = "sha256:619601235113298ebf8252a349754b7c28d3cf7166c7c922da24944b78a9363a"},
     {file = "langchain_core-0.2.43.tar.gz", hash = "sha256:42c2ef6adedb911f4254068b6adc9eb4c4075f6c8cb3d83590d3539a815695f5"},
@@ -2231,6 +2421,8 @@ version = "0.0.3"
 description = "An integration package connecting Hugging Face and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_huggingface-0.0.3-py3-none-any.whl", hash = "sha256:d6827adf3c7c8fcc0bca8c43c7e900c3bf68af9a1532a83d4b8ace137e02887e"},
     {file = "langchain_huggingface-0.0.3.tar.gz", hash = "sha256:0637acf484c47323cf3dcc46745a93467f6955989af9b7c01e2382fe1b630aaf"},
@@ -2249,6 +2441,8 @@ version = "0.1.10"
 description = "An integration package connecting Milvus and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_milvus-0.1.10-py3-none-any.whl", hash = "sha256:452e212d9e26c31d4eaec6c2c169b99c92c22735d39eafa55694a05ca0c3d538"},
     {file = "langchain_milvus-0.1.10.tar.gz", hash = "sha256:86a1a6557cbb41a0877300abf4be77ad6970617e3f3233ec1902b885d6147333"},
@@ -2264,6 +2458,8 @@ version = "0.2.4"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"},
     {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"},
@@ -2278,6 +2474,8 @@ version = "0.1.147"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
     {file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
@@ -2302,6 +2500,8 @@ version = "3.78.0"
 description = "Pure Python library for LaTeX to MathML conversion"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "latex2mathml-3.78.0-py3-none-any.whl", hash = "sha256:1aeca3dc027b3006ad7b301b7f4a15ffbb4c1451e3dc8c3389e97b37b497e1d6"},
     {file = "latex2mathml-3.78.0.tar.gz", hash = "sha256:712193aa4c6ade1a8e0145dac7bc1f9aafbd54f93046a2356a7e1c05fa0f8b31"},
@@ -2313,6 +2513,8 @@ version = "0.4"
 description = "Makes it easy to load subpackages and functions on demand."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
     {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"},
@@ -2332,6 +2534,8 @@ version = "1.11.0"
 description = "A fast and thorough lazy object proxy."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "lazy_object_proxy-1.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:132bc8a34f2f2d662a851acfd1b93df769992ed1b81e2b1fda7db3e73b0d5a18"},
     {file = "lazy_object_proxy-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:01261a3afd8621a1accb5682df2593dc7ec7d21d38f411011a5712dcd418fbed"},
@@ -2355,6 +2559,8 @@ version = "5.4.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "lxml-5.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e7bc6df34d42322c5289e37e9971d6ed114e3776b45fa879f734bded9d1fea9c"},
     {file = "lxml-5.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6854f8bd8a1536f8a1d9a3655e6354faa6406621cf857dc27b681b69860645c7"},
@@ -2503,6 +2709,8 @@ version = "3.8"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc"},
     {file = "markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f"},
@@ -2521,6 +2729,8 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -2545,6 +2755,8 @@ version = "2.1.3"
 description = "A markdown parser with high extensibility."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "marko-2.1.3-py3-none-any.whl", hash = "sha256:b4125d44b94606d6f13ddc77fef8cc4c87f70d54bc7d52d6547958b9f998a9d5"},
     {file = "marko-2.1.3.tar.gz", hash = "sha256:31aacb14867328f054cc39f884212907822a43d6a30cd75b0767e001a5e2f9fc"},
@@ -2561,6 +2773,8 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "docs", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -2631,6 +2845,8 @@ version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
     {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
@@ -2645,6 +2861,8 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -2656,6 +2874,8 @@ version = "0.4.2"
 description = "Collection of plugins for markdown-it-py"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mdit_py_plugins-0.4.2-py3-none-any.whl", hash = "sha256:0c673c3f889399a33b95e88d2f0d111b4447bdfea7f237dab2d488f459835636"},
     {file = "mdit_py_plugins-0.4.2.tar.gz", hash = "sha256:5f2cd1fdb606ddf152d37ec30e46101a60512bc0e5fa1a7002c36647b09e26b5"},
@@ -2675,6 +2895,8 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -2686,6 +2908,8 @@ version = "1.3.4"
 description = "A deep merge function for 🐍."
 optional = false
 python-versions = ">=3.6"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"},
     {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"},
@@ -2697,6 +2921,8 @@ version = "2.4.12"
 description = "A lightweight version of Milvus wrapped with Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["examples"]
+markers = "sys_platform != \"win32\""
 files = [
     {file = "milvus_lite-2.4.12-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:e8d4f7cdd5f731efd6faeee3715d280fd91a5f9b4d89312664d56401f65b1473"},
     {file = "milvus_lite-2.4.12-py3-none-macosx_11_0_arm64.whl", hash = "sha256:20087663e7b4385050b7ad08f1f03404426d4c87b1ff91d5a8723eee7fd49e88"},
@@ -2713,6 +2939,8 @@ version = "3.1.3"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mistune-3.1.3-py3-none-any.whl", hash = "sha256:1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9"},
     {file = "mistune-3.1.3.tar.gz", hash = "sha256:a7035c21782b2becb6be62f8f25d3df81ccb4d6fa477a6525b15af06539f02a0"},
@@ -2727,6 +2955,8 @@ version = "1.6.1"
 description = "Project documentation with Markdown."
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e"},
     {file = "mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2"},
@@ -2750,7 +2980,7 @@ watchdog = ">=2.0"
 
 [package.extras]
 i18n = ["babel (>=2.9.0)"]
-min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.4)", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4) ; platform_system == \"Windows\"", "ghp-import (==1.0)", "importlib-metadata (==4.4) ; python_version < \"3.10\"", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
 
 [[package]]
 name = "mkdocs-autorefs"
@@ -2758,6 +2988,8 @@ version = "1.4.1"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_autorefs-1.4.1-py3-none-any.whl", hash = "sha256:9793c5ac06a6ebbe52ec0f8439256e66187badf4b5334b5fde0b128ec134df4f"},
     {file = "mkdocs_autorefs-1.4.1.tar.gz", hash = "sha256:4b5b6235a4becb2b10425c2fa191737e415b37aa3418919db33e5d774c9db079"},
@@ -2774,6 +3006,8 @@ version = "0.8.1"
 description = "An MkDocs extension to generate documentation for Click command line applications"
 optional = false
 python-versions = ">=3.7"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_click-0.8.1-py3-none-any.whl", hash = "sha256:a100ff938be63911f86465a1c21d29a669a7c51932b700fdb3daa90d13b61ee4"},
     {file = "mkdocs_click-0.8.1.tar.gz", hash = "sha256:0a88cce04870c5d70ff63138e2418219c3c4119cc928a59c66b76eb5214edba6"},
@@ -2789,6 +3023,8 @@ version = "0.2.0"
 description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"},
     {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"},
@@ -2806,6 +3042,8 @@ version = "0.25.1"
 description = "Use Jupyter in mkdocs websites"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_jupyter-0.25.1-py3-none-any.whl", hash = "sha256:3f679a857609885d322880e72533ef5255561bbfdb13cfee2a1e92ef4d4ad8d8"},
     {file = "mkdocs_jupyter-0.25.1.tar.gz", hash = "sha256:0e9272ff4947e0ec683c92423a4bfb42a26477c103ab1a6ab8277e2dcc8f7afe"},
@@ -2825,6 +3063,8 @@ version = "9.6.13"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_material-9.6.13-py3-none-any.whl", hash = "sha256:3730730314e065f422cc04eacbc8c6084530de90f4654a1482472283a38e30d3"},
     {file = "mkdocs_material-9.6.13.tar.gz", hash = "sha256:7bde7ebf33cfd687c1c86c08ed8f6470d9a5ba737bd89e7b3e5d9f94f8c72c16"},
@@ -2854,6 +3094,8 @@ version = "1.3.1"
 description = "Extension pack for Python Markdown and MkDocs Material."
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31"},
     {file = "mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443"},
@@ -2865,6 +3107,8 @@ version = "0.27.0"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocstrings-0.27.0-py3-none-any.whl", hash = "sha256:6ceaa7ea830770959b55a16203ac63da24badd71325b96af950e59fd37366332"},
     {file = "mkdocstrings-0.27.0.tar.gz", hash = "sha256:16adca6d6b0a1f9e0c07ff0b02ced8e16f228a9d65a37c063ec4c14d7b76a657"},
@@ -2894,6 +3138,8 @@ version = "1.13.0"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocstrings_python-1.13.0-py3-none-any.whl", hash = "sha256:b88bbb207bab4086434743849f8e796788b373bd32e7bfefbf8560ac45d88f97"},
     {file = "mkdocstrings_python-1.13.0.tar.gz", hash = "sha256:2dbd5757e8375b9720e81db16f52f1856bf59905428fd7ef88005d1370e2f64c"},
@@ -2910,6 +3156,8 @@ version = "10.7.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "more_itertools-10.7.0-py3-none-any.whl", hash = "sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e"},
     {file = "more_itertools-10.7.0.tar.gz", hash = "sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3"},
@@ -2921,6 +3169,8 @@ version = "2.10.2"
 description = "A Python package for easy multiprocessing, but faster than multiprocessing"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mpire-2.10.2-py3-none-any.whl", hash = "sha256:d627707f7a8d02aa4c7f7d59de399dec5290945ddf7fbd36cbb1d6ebb37a51fb"},
     {file = "mpire-2.10.2.tar.gz", hash = "sha256:f66a321e93fadff34585a4bfa05e95bd946cf714b442f51c529038eb45773d97"},
@@ -2937,9 +3187,9 @@ tqdm = ">=4.27"
 
 [package.extras]
 dashboard = ["flask"]
-dill = ["multiprocess", "multiprocess (>=0.70.15)"]
+dill = ["multiprocess (>=0.70.15) ; python_version >= \"3.11\"", "multiprocess ; python_version < \"3.11\""]
 docs = ["docutils (==0.17.1)", "sphinx (==3.2.1)", "sphinx-autodoc-typehints (==1.11.0)", "sphinx-rtd-theme (==0.5.0)", "sphinx-versions (==1.0.1)", "sphinxcontrib-images (==0.9.2)"]
-testing = ["ipywidgets", "multiprocess", "multiprocess (>=0.70.15)", "numpy", "pywin32 (>=301)", "rich"]
+testing = ["ipywidgets", "multiprocess (>=0.70.15) ; python_version >= \"3.11\"", "multiprocess ; python_version < \"3.11\"", "numpy", "pywin32 (>=301) ; platform_system == \"Windows\"", "rich"]
 
 [[package]]
 name = "mpmath"
@@ -2947,6 +3197,8 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -2955,7 +3207,7 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
@@ -2964,6 +3216,8 @@ version = "6.4.3"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "multidict-6.4.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32a998bd8a64ca48616eac5a8c1cc4fa38fb244a3facf2eeb14abe186e0f6cc5"},
     {file = "multidict-6.4.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a54ec568f1fc7f3c313c2f3b16e5db346bf3660e1309746e7fccbbfded856188"},
@@ -3080,6 +3334,8 @@ version = "0.70.16"
 description = "better multiprocessing and multithreading in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
@@ -3104,6 +3360,8 @@ version = "1.15.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mypy-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:979e4e1a006511dacf628e36fadfecbcc0160a8af6ca7dad2f5025529e082c13"},
     {file = "mypy-1.15.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c4bb0e1bd29f7d34efcccd71cf733580191e9a264a2202b0239da95984c5b559"},
@@ -3157,6 +3415,8 @@ version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"},
     {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"},
@@ -3168,6 +3428,8 @@ version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
 python-versions = ">=3.9.0"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d"},
     {file = "nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193"},
@@ -3190,6 +3452,8 @@ version = "7.16.6"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3227,6 +3491,8 @@ version = "5.10.4"
 description = "The Jupyter Notebook format"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3248,6 +3514,8 @@ version = "1.9.1"
 description = "Run any standard Python code quality tool on a Jupyter Notebook"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3268,6 +3536,8 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3279,6 +3549,8 @@ version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3297,6 +3569,8 @@ version = "0.2.21"
 description = "Python binding to Ammonia HTML sanitizer Rust crate"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3330,6 +3604,8 @@ version = "1.11.1.4"
 description = "Ninja is a small build system with a focus on speed"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3356,6 +3632,8 @@ version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3367,6 +3645,8 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "constraints", "dev", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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@@ -3412,6 +3692,8 @@ version = "2.0.2"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "constraints", "dev", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or python_version == \"3.9\" and platform_machine != \"x86_64\""
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@@ -3466,6 +3748,8 @@ version = "2.2.5"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
+groups = ["main", "constraints", "dev", "examples", "mac_intel"]
+markers = "(sys_platform != \"darwin\" or platform_machine != \"x86_64\") and python_version >= \"3.10\""
 files = [
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@@ -3530,6 +3814,8 @@ version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3541,6 +3827,8 @@ version = "12.6.4.1"
 description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3553,6 +3841,8 @@ version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3564,6 +3854,8 @@ version = "12.6.80"
 description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3578,6 +3870,8 @@ version = "12.1.105"
 description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3589,6 +3883,8 @@ version = "12.6.77"
 description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3601,6 +3897,8 @@ version = "12.1.105"
 description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3612,6 +3910,8 @@ version = "12.6.77"
 description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3626,6 +3926,8 @@ version = "8.9.2.26"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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 ]
@@ -3639,6 +3941,8 @@ version = "9.5.1.17"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3654,6 +3958,8 @@ version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3665,6 +3971,8 @@ version = "11.3.0.4"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3682,6 +3990,8 @@ version = "1.11.1.6"
 description = "cuFile GPUDirect libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3693,6 +4003,8 @@ version = "10.3.2.106"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3704,6 +4016,8 @@ version = "10.3.7.77"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3718,6 +4032,8 @@ version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3734,6 +4050,8 @@ version = "11.7.1.2"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3753,6 +4071,8 @@ version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3767,6 +4087,8 @@ version = "12.5.4.2"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3784,6 +4106,8 @@ version = "0.6.3"
 description = "NVIDIA cuSPARSELt"
 optional = false
 python-versions = "*"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46"},
@@ -3796,6 +4120,8 @@ version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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 ]
@@ -3806,6 +4132,8 @@ version = "2.26.2"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3817,6 +4145,8 @@ version = "12.6.85"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3829,6 +4159,8 @@ version = "12.9.41"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.9.41-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:c3a2cd87cecf3f0ca5e5df97115ede3a81efec1d4b7e2ec89d13f66834042930"},
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@@ -3841,6 +4173,8 @@ version = "12.1.105"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3852,6 +4186,8 @@ version = "12.6.77"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3866,6 +4202,8 @@ version = "1.0.0"
 description = "A python wrapper to extract text from images on a mac system. Uses the vision framework from Apple."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
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@@ -3882,6 +4220,8 @@ version = "1.19.2"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.9\" and extra == \"rapidocr\" or sys_platform == \"darwin\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" and extra == \"rapidocr\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\""
 files = [
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@@ -3924,23 +4264,21 @@ version = "1.22.0"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = true
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and extra == \"rapidocr\""
 files = [
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 ]
@@ -3959,6 +4297,8 @@ version = "4.11.0.86"
 description = "Wrapper package for OpenCV python bindings."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "(python_version == \"3.10\" or python_version == \"3.11\" or python_version == \"3.12\") and extra == \"rapidocr\" or python_version == \"3.9\" and extra == \"rapidocr\" or sys_platform == \"darwin\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" and extra == \"rapidocr\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\""
 files = [
     {file = "opencv-python-4.11.0.86.tar.gz", hash = "sha256:03d60ccae62304860d232272e4a4fda93c39d595780cb40b161b310244b736a4"},
     {file = "opencv_python-4.11.0.86-cp37-abi3-macosx_13_0_arm64.whl", hash = "sha256:432f67c223f1dc2824f5e73cdfcd9db0efc8710647d4e813012195dc9122a52a"},
@@ -3971,12 +4311,12 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
-    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
-    {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.19.3", markers = "(python_version >= \"3.8\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\") and (python_version > \"3.9\" or platform_system != \"Darwin\" or platform_machine != \"arm64\")"},
 ]
 
 [[package]]
@@ -3985,6 +4325,8 @@ version = "4.11.0.86"
 description = "Wrapper package for OpenCV python bindings."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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     {file = "opencv_python_headless-4.11.0.86-cp37-abi3-macosx_13_0_arm64.whl", hash = "sha256:48128188ade4a7e517237c8e1e11a9cdf5c282761473383e77beb875bb1e61ca"},
@@ -3997,12 +4339,12 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
-    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
-    {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.19.3", markers = "(python_version >= \"3.8\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\") and (python_version > \"3.9\" or platform_system != \"Darwin\" or platform_machine != \"arm64\")"},
 ]
 
 [[package]]
@@ -4011,6 +4353,8 @@ version = "3.1.5"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4025,6 +4369,8 @@ version = "3.10.18"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_python_implementation != \"PyPy\""
 files = [
     {file = "orjson-3.10.18-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a45e5d68066b408e4bc383b6e4ef05e717c65219a9e1390abc6155a520cac402"},
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@@ -4106,6 +4452,8 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4117,6 +4465,8 @@ version = "0.5.7"
 description = "Divides large result sets into pages for easier browsing"
 optional = false
 python-versions = "*"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4132,46 +4482,36 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -4218,6 +4558,8 @@ version = "2.2.2.240807"
 description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -4233,6 +4575,8 @@ version = "1.5.1"
 description = "Utilities for writing pandoc filters in python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -4244,6 +4588,8 @@ version = "0.8.4"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev", "docs"]
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@@ -4259,6 +4605,8 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
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@@ -4270,6 +4618,8 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
+groups = ["dev", "docs"]
+markers = "sys_platform != \"win32\""
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@@ -4284,6 +4634,8 @@ version = "11.2.1"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -4374,7 +4726,7 @@ fpx = ["olefile"]
 mic = ["olefile"]
 test-arrow = ["pyarrow"]
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-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -4383,6 +4735,8 @@ version = "1.12.1.2"
 description = "Query metadata from sdists / bdists / installed packages."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
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@@ -4397,6 +4751,8 @@ version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev", "docs"]
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@@ -4413,6 +4769,8 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
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@@ -4428,6 +4786,8 @@ version = "3.8.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -4446,6 +4806,8 @@ version = "3.0.51"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -4460,6 +4822,8 @@ version = "0.3.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
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@@ -4567,6 +4931,7 @@ version = "6.30.2"
 description = ""
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
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@@ -4578,6 +4943,7 @@ files = [
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 [[package]]
 name = "psutil"
@@ -4585,6 +4951,7 @@ version = "7.0.0"
 description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev", "docs"]
 files = [
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@@ -4597,6 +4964,7 @@ files = [
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     {file = "psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456"},
 ]
+markers = {main = "(sys_platform != \"darwin\" or platform_machine != \"x86_64\") and extra == \"vlm\" and platform_machine == \"aarch64\" and platform_system == \"Linux\"", dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""}
 
 [package.extras]
 dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
@@ -4608,6 +4976,8 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
+groups = ["dev", "docs"]
+markers = "sys_platform != \"win32\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -4619,6 +4989,8 @@ version = "0.2.3"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
     {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
@@ -4633,6 +5005,8 @@ version = "20.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyarrow-20.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c7dd06fd7d7b410ca5dc839cc9d485d2bc4ae5240851bcd45d85105cc90a47d7"},
     {file = "pyarrow-20.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:d5382de8dc34c943249b01c19110783d0d64b207167c728461add1ecc2db88e4"},
@@ -4700,6 +5074,8 @@ version = "1.3.0.post6"
 description = "Cython wrapper for the C++ translation of the Angus Johnson's Clipper library (ver. 6.4.2)"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyclipper-1.3.0.post6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fa0f5e78cfa8262277bb3d0225537b3c2a90ef68fd90a229d5d24cf49955dcf4"},
     {file = "pyclipper-1.3.0.post6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a01f182d8938c1dc515e8508ed2442f7eebd2c25c7d5cb29281f583c1a8008a4"},
@@ -4759,6 +5135,8 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -4770,10 +5148,12 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
+markers = {dev = "implementation_name == \"pypy\" or sys_platform == \"linux\" and platform_python_implementation != \"PyPy\"", docs = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "pydantic"
@@ -4781,6 +5161,8 @@ version = "2.11.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pydantic-2.11.4-py3-none-any.whl", hash = "sha256:d9615eaa9ac5a063471da949c8fc16376a84afb5024688b3ff885693506764eb"},
     {file = "pydantic-2.11.4.tar.gz", hash = "sha256:32738d19d63a226a52eed76645a98ee07c1f410ee41d93b4afbfa85ed8111c2d"},
@@ -4794,7 +5176,7 @@ typing-inspection = ">=0.4.0"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
 [[package]]
 name = "pydantic-core"
@@ -4802,6 +5184,8 @@ version = "2.33.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8"},
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d"},
@@ -4913,6 +5297,8 @@ version = "2.9.1"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pydantic_settings-2.9.1-py3-none-any.whl", hash = "sha256:59b4f431b1defb26fe620c71a7d3968a710d719f5f4cdbbdb7926edeb770f6ef"},
     {file = "pydantic_settings-2.9.1.tar.gz", hash = "sha256:c509bf79d27563add44e8446233359004ed85066cd096d8b510f715e6ef5d268"},
@@ -4936,6 +5322,8 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -4947,6 +5335,8 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
     {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
@@ -4961,6 +5351,8 @@ version = "2.10"
 description = "Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pylatexenc-2.10.tar.gz", hash = "sha256:3dd8fd84eb46dc30bee1e23eaab8d8fb5a7f507347b23e5f38ad9675c84f40d3"},
 ]
@@ -4971,6 +5363,8 @@ version = "2.17.7"
 description = "python code static checker"
 optional = false
 python-versions = ">=3.7.2"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pylint-2.17.7-py3-none-any.whl", hash = "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87"},
     {file = "pylint-2.17.7.tar.gz", hash = "sha256:f4fcac7ae74cfe36bc8451e931d8438e4a476c20314b1101c458ad0f05191fad"},
@@ -5000,6 +5394,8 @@ version = "10.15"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pymdown_extensions-10.15-py3-none-any.whl", hash = "sha256:46e99bb272612b0de3b7e7caf6da8dd5f4ca5212c0b273feb9304e236c484e5f"},
     {file = "pymdown_extensions-10.15.tar.gz", hash = "sha256:0e5994e32155f4b03504f939e501b981d306daf7ec2aa1cd2eb6bd300784f8f7"},
@@ -5018,6 +5414,8 @@ version = "2.5.8"
 description = "Python Sdk for Milvus"
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pymilvus-2.5.8-py3-none-any.whl", hash = "sha256:6f33c9e78c041373df6a94724c90ca83448fd231aa33d6298a7a84ed2a5a0236"},
     {file = "pymilvus-2.5.8.tar.gz", hash = "sha256:48923e7efeebcc366d32b644772796f60484e0ca1a5afc1606d21a10ed98133c"},
@@ -5043,6 +5441,8 @@ version = "11.0"
 description = "Python<->ObjC Interoperability Module"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_core-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:10866b3a734d47caf48e456eea0d4815c2c9b21856157db5917b61dee06893a1"},
     {file = "pyobjc_core-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:50675c0bb8696fe960a28466f9baf6943df2928a1fd85625d678fa2f428bd0bd"},
@@ -5059,6 +5459,8 @@ version = "11.0"
 description = "Wrappers for the Cocoa frameworks on macOS"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_Cocoa-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fbc65f260d617d5463c7fb9dbaaffc23c9a4fabfe3b1a50b039b61870b8daefd"},
     {file = "pyobjc_framework_Cocoa-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3ea7be6e6dd801b297440de02d312ba3fa7fd3c322db747ae1cb237e975f5d33"},
@@ -5078,6 +5480,8 @@ version = "11.0"
 description = "Wrappers for the framework CoreML on macOS"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_CoreML-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87991c6ed2510e9143b5d200a946cb1f1396e321ccd4b8b22a32616333b1cf32"},
     {file = "pyobjc_framework_CoreML-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e290ad9c0ac5f057ce3885d35e33fadc115f59111f2e04f168c45e2890cb86e8"},
@@ -5098,6 +5502,8 @@ version = "11.0"
 description = "Wrappers for the Quartz frameworks on macOS"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_Quartz-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:da3ab13c9f92361959b41b0ad4cdd41ae872f90a6d8c58a9ed699bc08ab1c45c"},
     {file = "pyobjc_framework_Quartz-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d251696bfd8e8ef72fbc90eb29fec95cb9d1cc409008a183d5cc3246130ae8c2"},
@@ -5118,6 +5524,8 @@ version = "11.0"
 description = "Wrappers for the framework Vision on macOS"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_Vision-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a6707adc9df3510686c18d4f2a6d8df234c347329edb12793459867163a61c42"},
     {file = "pyobjc_framework_Vision-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ca7cc48332d804a02b5b17f31bed52dd4b7c323f9e4ff4b4e7ecd35d39cc0759"},
@@ -5140,6 +5548,8 @@ version = "4.30.1"
 description = "Python bindings to PDFium"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pypdfium2-4.30.1-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:e07c47633732cc18d890bb7e965ad28a9c5a932e548acb928596f86be2e5ae37"},
     {file = "pypdfium2-4.30.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:5ea2d44e96d361123b67b00f527017aa9c847c871b5714e013c01c3eb36a79fe"},
@@ -5162,6 +5572,8 @@ version = "6.1.0"
 description = "pyproject-flake8 (`pflake8`), a monkey patching wrapper to connect flake8 with pyproject.toml configuration"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyproject_flake8-6.1.0-py3-none-any.whl", hash = "sha256:86ea5559263c098e1aa4f866776aa2cf45362fd91a576b9fd8fbbbb55db12c4e"},
     {file = "pyproject_flake8-6.1.0.tar.gz", hash = "sha256:6da8e5a264395e0148bc11844c6fb50546f1fac83ac9210f7328664135f9e70f"},
@@ -5177,6 +5589,8 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "sys_platform == \"win32\" and extra == \"rapidocr\" and platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
     {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
@@ -5191,6 +5605,8 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -5213,6 +5629,8 @@ version = "6.1.1"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytest_cov-6.1.1-py3-none-any.whl", hash = "sha256:bddf29ed2d0ab6f4df17b4c55b0a657287db8684af9c42ea546b21b1041b3dde"},
     {file = "pytest_cov-6.1.1.tar.gz", hash = "sha256:46935f7aaefba760e716c2ebfbe1c216240b9592966e7da99ea8292d4d3e2a0a"},
@@ -5231,6 +5649,8 @@ version = "3.6.1"
 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7"},
     {file = "pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d"},
@@ -5251,6 +5671,8 @@ version = "0.6.6"
 description = "Python Bidi layout wrapping the Rust crate unicode-bidi"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_bidi-0.6.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09d4da6b5851d0df01d7313a11d22f308fdfb0e12461f7262e0f55c521ccc0f1"},
     {file = "python_bidi-0.6.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:493a844891e23264411b01df58ba77d5dbb0045da3787f4195f50a56bfb847d9"},
@@ -5372,6 +5794,8 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -5386,6 +5810,8 @@ version = "1.1.2"
 description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"},
     {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"},
@@ -5401,6 +5827,8 @@ version = "1.1.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_dotenv-1.1.0-py3-none-any.whl", hash = "sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d"},
     {file = "python_dotenv-1.1.0.tar.gz", hash = "sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5"},
@@ -5415,6 +5843,8 @@ version = "3.15.0"
 description = "Interact with GitLab API"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python-gitlab-3.15.0.tar.gz", hash = "sha256:c9e65eb7612a9fbb8abf0339972eca7fd7a73d4da66c9b446ffe528930aff534"},
     {file = "python_gitlab-3.15.0-py3-none-any.whl", hash = "sha256:8f8d1c0d387f642eb1ac7bf5e8e0cd8b3dd49c6f34170cee3c7deb7d384611f3"},
@@ -5434,6 +5864,8 @@ version = "1.0.2"
 description = "Create, read, and update PowerPoint 2007+ (.pptx) files."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_pptx-1.0.2-py3-none-any.whl", hash = "sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba"},
     {file = "python_pptx-1.0.2.tar.gz", hash = "sha256:479a8af0eaf0f0d76b6f00b0887732874ad2e3188230315290cd1f9dd9cc7095"},
@@ -5451,6 +5883,8 @@ version = "7.34.6"
 description = "Automatic Semantic Versioning for Python projects"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python-semantic-release-7.34.6.tar.gz", hash = "sha256:e9b8fb788024ae9510a924136d573588415a16eeca31cc5240f2754a80a2e831"},
     {file = "python_semantic_release-7.34.6-py3-none-any.whl", hash = "sha256:7e3969ba4663d9b2087b02bf3ac140e202551377bf045c34e09bfe19753e19ab"},
@@ -5482,6 +5916,8 @@ version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -5493,6 +5929,7 @@ version = "310"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["main", "dev", "docs"]
 files = [
     {file = "pywin32-310-cp310-cp310-win32.whl", hash = "sha256:6dd97011efc8bf51d6793a82292419eba2c71cf8e7250cfac03bba284454abc1"},
     {file = "pywin32-310-cp310-cp310-win_amd64.whl", hash = "sha256:c3e78706e4229b915a0821941a84e7ef420bf2b77e08c9dae3c76fd03fd2ae3d"},
@@ -5511,6 +5948,7 @@ files = [
     {file = "pywin32-310-cp39-cp39-win32.whl", hash = "sha256:851c8d927af0d879221e616ae1f66145253537bbdd321a77e8ef701b443a9a1a"},
     {file = "pywin32-310-cp39-cp39-win_amd64.whl", hash = "sha256:96867217335559ac619f00ad70e513c0fcf84b8a3af9fc2bba3b59b97da70475"},
 ]
+markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\" and platform_system == \"Linux\" and platform_machine == \"aarch64\"", docs = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\" and platform_system == \"Linux\" and platform_machine == \"aarch64\""}
 
 [[package]]
 name = "pywin32-ctypes"
@@ -5518,6 +5956,8 @@ version = "0.2.3"
 description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "sys_platform == \"win32\""
 files = [
     {file = "pywin32-ctypes-0.2.3.tar.gz", hash = "sha256:d162dc04946d704503b2edc4d55f3dba5c1d539ead017afa00142c38b9885755"},
     {file = "pywin32_ctypes-0.2.3-py3-none-any.whl", hash = "sha256:8a1513379d709975552d202d942d9837758905c8d01eb82b8bcc30918929e7b8"},
@@ -5529,6 +5969,8 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -5591,6 +6033,8 @@ version = "1.0"
 description = "A custom YAML tag for referencing environment variables in YAML files."
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyyaml_env_tag-1.0-py3-none-any.whl", hash = "sha256:37f081041b8dca44ed8eb931ce0056f97de17251450f0ed08773dc2bcaf9e683"},
     {file = "pyyaml_env_tag-1.0.tar.gz", hash = "sha256:bc952534a872b583f66f916e2dd83e7a7b9087847f4afca6d9c957c48b258ed2"},
@@ -5605,6 +6049,8 @@ version = "26.4.0"
 description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyzmq-26.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:0329bdf83e170ac133f44a233fc651f6ed66ef8e66693b5af7d54f45d1ef5918"},
     {file = "pyzmq-26.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:398a825d2dea96227cf6460ce0a174cf7657d6f6827807d4d1ae9d0f9ae64315"},
@@ -5710,6 +6156,8 @@ version = "1.4.4"
 description = "A cross platform OCR Library based on OnnxRuntime."
 optional = true
 python-versions = "<3.13,>=3.6"
+groups = ["main"]
+markers = "(python_version == \"3.10\" or python_version == \"3.11\" or python_version == \"3.12\") and extra == \"rapidocr\" or python_version == \"3.9\" and extra == \"rapidocr\" or sys_platform == \"darwin\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" and extra == \"rapidocr\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\""
 files = [
     {file = "rapidocr_onnxruntime-1.4.4-py3-none-any.whl", hash = "sha256:971d7d5f223a7a808662229df1ef69893809d8457d834e6373d3854bc1782cbf"},
 ]
@@ -5731,6 +6179,8 @@ version = "44.0"
 description = "readme_renderer is a library for rendering readme descriptions for Warehouse"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "readme_renderer-44.0-py3-none-any.whl", hash = "sha256:2fbca89b81a08526aadf1357a8c2ae889ec05fb03f5da67f9769c9a592166151"},
     {file = "readme_renderer-44.0.tar.gz", hash = "sha256:8712034eabbfa6805cacf1402b4eeb2a73028f72d1166d6f5cb7f9c047c5d1e1"},
@@ -5750,6 +6200,8 @@ version = "0.36.2"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"},
     {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"},
@@ -5766,6 +6218,8 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -5869,6 +6323,8 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -5890,6 +6346,8 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["dev", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
     {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
@@ -5904,6 +6362,8 @@ version = "2.0.0"
 description = "Validating URI References per RFC 3986"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "rfc3986-2.0.0-py2.py3-none-any.whl", hash = "sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd"},
     {file = "rfc3986-2.0.0.tar.gz", hash = "sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c"},
@@ -5918,6 +6378,8 @@ version = "14.0.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "rich-14.0.0-py3-none-any.whl", hash = "sha256:1c9491e1951aac09caffd42f448ee3d04e58923ffe14993f6e83068dc395d7e0"},
     {file = "rich-14.0.0.tar.gz", hash = "sha256:82f1bc23a6a21ebca4ae0c45af9bdbc492ed20231dcb63f297d6d1021a9d5725"},
@@ -5937,6 +6399,8 @@ version = "0.24.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "rpds_py-0.24.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:006f4342fe729a368c6df36578d7a348c7c716be1da0a1a0f86e3021f8e98724"},
     {file = "rpds_py-0.24.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2d53747da70a4e4b17f559569d5f9506420966083a31c5fbd84e764461c4444b"},
@@ -6060,6 +6524,8 @@ version = "1.4.0"
 description = "R-Tree spatial index for Python GIS"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "rtree-1.4.0-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:4d1bebc418101480aabf41767e772dd2155d3b27b1376cccbd93e4509485e091"},
     {file = "rtree-1.4.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:997f8c38d5dffa3949ea8adb4c8b291ea5cd4ef5ee69455d642dd171baf9991d"},
@@ -6079,6 +6545,8 @@ version = "0.5.3"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "safetensors-0.5.3-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd20eb133db8ed15b40110b7c00c6df51655a2998132193de2f75f72d99c7073"},
     {file = "safetensors-0.5.3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:21d01c14ff6c415c485616b8b0bf961c46b3b343ca59110d38d744e577f9cce7"},
@@ -6120,6 +6588,8 @@ version = "0.24.0"
 description = "Image processing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "scikit_image-0.24.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cb3bc0264b6ab30b43c4179ee6156bc18b4861e78bb329dd8d16537b7bbf827a"},
     {file = "scikit_image-0.24.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:9c7a52e20cdd760738da38564ba1fed7942b623c0317489af1a598a8dedf088b"},
@@ -6157,7 +6627,7 @@ tifffile = ">=2022.8.12"
 [package.extras]
 build = ["Cython (>=3.0.4)", "build", "meson-python (>=0.15)", "ninja", "numpy (>=2.0.0rc1)", "packaging (>=21)", "pythran", "setuptools (>=67)", "spin (==0.8)", "wheel"]
 data = ["pooch (>=1.6.0)"]
-developer = ["ipython", "pre-commit", "tomli"]
+developer = ["ipython", "pre-commit", "tomli ; python_version < \"3.11\""]
 docs = ["PyWavelets (>=1.1.1)", "dask[array] (>=2022.9.2)", "ipykernel", "ipywidgets", "kaleido", "matplotlib (>=3.6)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=1.5)", "plotly (>=5.10)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.15.2)", "pytest-doctestplus", "pytest-runner", "scikit-learn (>=1.1)", "seaborn (>=0.11)", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-gallery (>=0.14)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
 optional = ["PyWavelets (>=1.1.1)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=0.2.1)", "dask[array] (>=2021.1.0)", "matplotlib (>=3.6)", "pooch (>=1.6.0)", "pyamg", "scikit-learn (>=1.1)"]
 test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-cov (>=2.11.0)", "pytest-doctestplus", "pytest-faulthandler", "pytest-localserver"]
@@ -6168,6 +6638,8 @@ version = "1.6.1"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e"},
     {file = "scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36"},
@@ -6222,6 +6694,8 @@ version = "1.13.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""
 files = [
     {file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"},
     {file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"},
@@ -6264,6 +6738,8 @@ version = "1.15.3"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
+groups = ["main", "examples"]
+markers = "python_version >= \"3.10\""
 files = [
     {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"},
     {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"},
@@ -6319,7 +6795,7 @@ numpy = ">=1.23.5,<2.5"
 [package.extras]
 dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
 doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "secretstorage"
@@ -6327,6 +6803,8 @@ version = "3.3.3"
 description = "Python bindings to FreeDesktop.org Secret Service API"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "sys_platform == \"linux\""
 files = [
     {file = "SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99"},
     {file = "SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77"},
@@ -6342,6 +6820,8 @@ version = "2.2.2"
 description = "A fast and lightweight Python library for splitting text into semantically meaningful chunks."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "semchunk-2.2.2-py3-none-any.whl", hash = "sha256:94ca19020c013c073abdfd06d79a7c13637b91738335f3b8cdb5655ee7cc94d2"},
     {file = "semchunk-2.2.2.tar.gz", hash = "sha256:940e89896e64eeb01de97ba60f51c8c7b96c6a3951dfcf574f25ce2146752f52"},
@@ -6357,6 +6837,8 @@ version = "2.13.0"
 description = "Python helper for Semantic Versioning (http://semver.org/)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "semver-2.13.0-py2.py3-none-any.whl", hash = "sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4"},
     {file = "semver-2.13.0.tar.gz", hash = "sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f"},
@@ -6368,6 +6850,8 @@ version = "4.1.0"
 description = "Embeddings, Retrieval, and Reranking"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "sentence_transformers-4.1.0-py3-none-any.whl", hash = "sha256:382a7f6be1244a100ce40495fb7523dbe8d71b3c10b299f81e6b735092b3b8ca"},
     {file = "sentence_transformers-4.1.0.tar.gz", hash = "sha256:f125ffd1c727533e0eca5d4567de72f84728de8f7482834de442fd90c2c3d50b"},
@@ -6396,19 +6880,21 @@ version = "80.4.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples", "mac_intel"]
 files = [
     {file = "setuptools-80.4.0-py3-none-any.whl", hash = "sha256:6cdc8cb9a7d590b237dbe4493614a9b75d0559b888047c1f67d49ba50fc3edb2"},
     {file = "setuptools-80.4.0.tar.gz", hash = "sha256:5a78f61820bc088c8e4add52932ae6b8cf423da2aff268c23f813cfbb13b4006"},
 ]
+markers = {main = "sys_platform != \"darwin\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or sys_platform != \"darwin\" and python_version >= \"3.12\" or platform_machine != \"x86_64\" and python_version >= \"3.12\"", examples = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", mac_intel = "sys_platform != \"darwin\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or sys_platform != \"darwin\" and python_version >= \"3.12\" or platform_machine != \"x86_64\" and python_version >= \"3.12\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
-core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "shapely"
@@ -6416,6 +6902,8 @@ version = "2.0.7"
 description = "Manipulation and analysis of geometric objects"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "shapely-2.0.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:33fb10e50b16113714ae40adccf7670379e9ccf5b7a41d0002046ba2b8f0f691"},
     {file = "shapely-2.0.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f44eda8bd7a4bccb0f281264b34bf3518d8c4c9a8ffe69a1a05dabf6e8461147"},
@@ -6474,6 +6962,8 @@ version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -6485,6 +6975,8 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -6496,6 +6988,8 @@ version = "5.0.2"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"},
     {file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"},
@@ -6507,6 +7001,8 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -6518,6 +7014,8 @@ version = "2.7"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4"},
     {file = "soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a"},
@@ -6529,6 +7027,8 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -6548,6 +7048,8 @@ version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
     {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
@@ -6565,6 +7067,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -6579,6 +7083,8 @@ version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
     {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
@@ -6594,6 +7100,8 @@ version = "2.8.0"
 description = "A simple, Pillow-friendly, Python wrapper around tesseract-ocr API using Cython"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"tesserocr\""
 files = [
     {file = "tesserocr-2.8.0-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:b5d5dcabe688bf7bb76f87eef05783aa1d305c9566b7f6f6735a12f224ca379b"},
     {file = "tesserocr-2.8.0-cp310-cp310-macosx_15_0_arm64.whl", hash = "sha256:55d0e018d34054fa7f875cd126abaf423de4069fde49d638a399de530949055b"},
@@ -6629,6 +7137,8 @@ version = "3.6.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
     {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
@@ -6640,6 +7150,8 @@ version = "2024.8.30"
 description = "Read and write TIFF files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -6662,6 +7174,8 @@ version = "1.4.0"
 description = "A tiny CSS parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -6680,6 +7194,8 @@ version = "6.1.0"
 description = "A wrapper around the stdlib `tokenize` which roundtrips."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -6691,6 +7207,8 @@ version = "0.19.1"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "examples"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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@@ -6808,6 +7326,8 @@ version = "0.21.1"
 description = ""
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" or python_version >= \"3.13\""
 files = [
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@@ -6840,6 +7360,7 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
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@@ -6874,6 +7395,7 @@ files = [
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 ]
+markers = {dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" or python_version == \"3.10\""}
 
 [[package]]
 name = "tomlkit"
@@ -6881,6 +7403,8 @@ version = "0.13.2"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -6892,6 +7416,8 @@ version = "2.2.2"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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@@ -6950,6 +7476,8 @@ version = "2.7.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.9.0"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\""
 files = [
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@@ -7011,6 +7539,8 @@ version = "0.17.2"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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@@ -7053,6 +7583,8 @@ version = "0.22.0"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "mac_intel"]
+markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\""
 files = [
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@@ -7095,6 +7627,8 @@ version = "6.4.2"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -7115,6 +7649,8 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -7136,6 +7672,8 @@ version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7151,6 +7689,8 @@ version = "4.42.4"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main", "examples"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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@@ -7219,6 +7759,8 @@ version = "4.51.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
+groups = ["main", "examples"]
+markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" or python_version >= \"3.13\""
 files = [
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@@ -7291,6 +7833,8 @@ version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\" and python_version < \"3.12\""
 files = [
     {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
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@@ -7314,6 +7858,8 @@ version = "3.3.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
+groups = ["main", "examples", "mac_intel"]
+markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "triton-3.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fad99beafc860501d7fcc1fb7045d9496cbe2c882b1674640304949165a916e7"},
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@@ -7337,6 +7883,8 @@ version = "3.8.0"
 description = "Collection of utilities for publishing packages on PyPI"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7360,6 +7908,8 @@ version = "0.15.3"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7377,6 +7927,8 @@ version = "3.1.5.20250506"
 description = "Typing stubs for openpyxl"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7388,6 +7940,8 @@ version = "2025.2.0.20250326"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7399,6 +7953,8 @@ version = "2.32.0.20250328"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7413,6 +7969,8 @@ version = "4.67.0.20250513"
 description = "Typing stubs for tqdm"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7427,6 +7985,8 @@ version = "4.13.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "docs", "examples", "mac_intel"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7438,6 +7998,8 @@ version = "0.4.0"
 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7452,6 +8014,8 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -7463,6 +8027,8 @@ version = "5.10.0"
 description = "Ultra fast JSON encoder and decoder for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd"},
     {file = "ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf"},
@@ -7550,13 +8116,15 @@ version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev", "docs", "examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
     {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -7567,6 +8135,8 @@ version = "20.31.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "virtualenv-20.31.2-py3-none-any.whl", hash = "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11"},
     {file = "virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"},
@@ -7579,7 +8149,7 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
 
 [[package]]
 name = "watchdog"
@@ -7587,6 +8157,8 @@ version = "6.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"},
     {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"},
@@ -7629,6 +8201,8 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["dev", "docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -7640,6 +8214,8 @@ version = "0.5.1"
 description = "Character encoding aliases for legacy web content"
 optional = false
 python-versions = "*"
+groups = ["docs"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -7651,6 +8227,8 @@ version = "0.45.1"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"},
     {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"},
@@ -7665,6 +8243,8 @@ version = "4.0.14"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "widgetsnbextension-4.0.14-py3-none-any.whl", hash = "sha256:4875a9eaf72fbf5079dc372a51a9f268fc38d46f767cbf85c43a36da5cb9b575"},
     {file = "widgetsnbextension-4.0.14.tar.gz", hash = "sha256:a3629b04e3edb893212df862038c7232f62973373869db5084aed739b437b5af"},
@@ -7676,6 +8256,8 @@ version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"},
@@ -7764,6 +8346,8 @@ version = "3.2.3"
 description = "A Python module for creating Excel XLSX files."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "XlsxWriter-3.2.3-py3-none-any.whl", hash = "sha256:593f8296e8a91790c6d0378ab08b064f34a642b3feb787cf6738236bd0a4860d"},
     {file = "xlsxwriter-3.2.3.tar.gz", hash = "sha256:ad6fd41bdcf1b885876b1f6b7087560aecc9ae5a9cc2ba97dcac7ab2e210d3d5"},
@@ -7775,6 +8359,8 @@ version = "3.5.0"
 description = "Python binding for xxHash"
 optional = false
 python-versions = ">=3.7"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"},
     {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"},
@@ -7907,6 +8493,8 @@ version = "1.20.0"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
+groups = ["examples"]
+markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22"},
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85a231fa250dfa3308f3c7896cc007a47bc76e9e8e8595c20b7426cac4884c62"},
@@ -8025,17 +8613,19 @@ version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev", "docs"]
 files = [
     {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
     {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
+markers = {dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -8045,6 +8635,6 @@ tesserocr = ["tesserocr"]
 vlm = ["accelerate", "transformers", "transformers"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "^3.9"
-content-hash = "9c243f65c2244898b695cfbd24de9848ed8207d8dba7f8f46e1c2d75a2247248"
+content-hash = "6e09692aaf6c33d67952eb51d2a6db189aa8f6f56e7403225f3083dcb3831971"
diff --git a/pyproject.toml b/pyproject.toml
index aff1baee..a203ff85 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,7 +46,7 @@ packages = [{ include = "docling" }]
 ######################
 python = "^3.9"
 pydantic = "^2.0.0"
-docling-core = {version = "^2.29.0", extras = ["chunking"]}
+docling-core = {version = "^2.31.2", extras = ["chunking"]}
 docling-ibm-models = "^3.4.0"
 docling-parse = "^4.0.0"
 filetype = "^1.2.0"

From 106951e71ee74ce3e383e1a3d3182e9d9cec54a1 Mon Sep 17 00:00:00 2001
From: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
Date: Wed, 28 May 2025 13:26:49 +0200
Subject: [PATCH 2/9] test: add missing ground truth files (#1667)

Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
---
 .../docling_v2/example_08.html.itxt           |    8 +
 .../docling_v2/example_08.html.json           | 2008 +++++++++++++++++
 .../groundtruth/docling_v2/example_08.html.md |   29 +
 .../groundtruth/docling_v2/textbox.docx.itxt  |   94 +
 .../groundtruth/docling_v2/textbox.docx.json  | 1470 ++++++++++++
 .../groundtruth/docling_v2/textbox.docx.md    |   46 +
 .../html/{example_8.html => example_08.html}  |    0
 7 files changed, 3655 insertions(+)
 create mode 100644 tests/data/groundtruth/docling_v2/example_08.html.itxt
 create mode 100644 tests/data/groundtruth/docling_v2/example_08.html.json
 create mode 100644 tests/data/groundtruth/docling_v2/example_08.html.md
 create mode 100644 tests/data/groundtruth/docling_v2/textbox.docx.itxt
 create mode 100644 tests/data/groundtruth/docling_v2/textbox.docx.json
 create mode 100644 tests/data/groundtruth/docling_v2/textbox.docx.md
 rename tests/data/html/{example_8.html => example_08.html} (100%)

diff --git a/tests/data/groundtruth/docling_v2/example_08.html.itxt b/tests/data/groundtruth/docling_v2/example_08.html.itxt
new file mode 100644
index 00000000..505408e3
--- /dev/null
+++ b/tests/data/groundtruth/docling_v2/example_08.html.itxt
@@ -0,0 +1,8 @@
+item-0 at level 0: unspecified: group _root_
+  item-1 at level 1: section: group header-1
+    item-2 at level 2: section_header: Pivot table with with 1 row header
+      item-3 at level 3: table with [6x4]
+    item-4 at level 2: section_header: Pivot table with 2 row headers
+      item-5 at level 3: table with [6x5]
+    item-6 at level 2: section_header: Equivalent pivot table
+      item-7 at level 3: table with [6x5]
\ No newline at end of file
diff --git a/tests/data/groundtruth/docling_v2/example_08.html.json b/tests/data/groundtruth/docling_v2/example_08.html.json
new file mode 100644
index 00000000..085be7ef
--- /dev/null
+++ b/tests/data/groundtruth/docling_v2/example_08.html.json
@@ -0,0 +1,2008 @@
+{
+  "schema_name": "DoclingDocument",
+  "version": "1.3.0",
+  "name": "example_08",
+  "origin": {
+    "mimetype": "text/html",
+    "binary_hash": 12799593797322619937,
+    "filename": "example_08.html"
+  },
+  "furniture": {
+    "self_ref": "#/furniture",
+    "children": [],
+    "content_layer": "furniture",
+    "name": "_root_",
+    "label": "unspecified"
+  },
+  "body": {
+    "self_ref": "#/body",
+    "children": [
+      {
+        "$ref": "#/groups/0"
+      }
+    ],
+    "content_layer": "body",
+    "name": "_root_",
+    "label": "unspecified"
+  },
+  "groups": [
+    {
+      "self_ref": "#/groups/0",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/0"
+        },
+        {
+          "$ref": "#/texts/1"
+        },
+        {
+          "$ref": "#/texts/2"
+        }
+      ],
+      "content_layer": "body",
+      "name": "header-1",
+      "label": "section"
+    }
+  ],
+  "texts": [
+    {
+      "self_ref": "#/texts/0",
+      "parent": {
+        "$ref": "#/groups/0"
+      },
+      "children": [
+        {
+          "$ref": "#/tables/0"
+        }
+      ],
+      "content_layer": "body",
+      "label": "section_header",
+      "prov": [],
+      "orig": "Pivot table with with 1 row header",
+      "text": "Pivot table with with 1 row header",
+      "level": 1
+    },
+    {
+      "self_ref": "#/texts/1",
+      "parent": {
+        "$ref": "#/groups/0"
+      },
+      "children": [
+        {
+          "$ref": "#/tables/1"
+        }
+      ],
+      "content_layer": "body",
+      "label": "section_header",
+      "prov": [],
+      "orig": "Pivot table with 2 row headers",
+      "text": "Pivot table with 2 row headers",
+      "level": 1
+    },
+    {
+      "self_ref": "#/texts/2",
+      "parent": {
+        "$ref": "#/groups/0"
+      },
+      "children": [
+        {
+          "$ref": "#/tables/2"
+        }
+      ],
+      "content_layer": "body",
+      "label": "section_header",
+      "prov": [],
+      "orig": "Equivalent pivot table",
+      "text": "Equivalent pivot table",
+      "level": 1
+    }
+  ],
+  "pictures": [],
+  "tables": [
+    {
+      "self_ref": "#/tables/0",
+      "parent": {
+        "$ref": "#/texts/0"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "table",
+      "prov": [],
+      "captions": [],
+      "references": [],
+      "footnotes": [],
+      "data": {
+        "table_cells": [
+          {
+            "row_span": 1,
+            "col_span": 1,
+            "start_row_offset_idx": 0,
+            "end_row_offset_idx": 1,
+            "start_col_offset_idx": 0,
+            "end_col_offset_idx": 1,
+            "text": "Year",
+            "column_header": true,
+            "row_header": false,
+            "row_section": false
+          },
+          {
+            "row_span": 1,
+            "col_span": 1,
+            "start_row_offset_idx": 0,
+            "end_row_offset_idx": 1,
+            "start_col_offset_idx": 1,
+            "end_col_offset_idx": 2,
+            "text": "Month",
+            "column_header": true,
+            "row_header": false,
+            "row_section": false
+          },
+          {
+            "row_span": 1,
+            "col_span": 1,
+            "start_row_offset_idx": 0,
+            "end_row_offset_idx": 1,
+            "start_col_offset_idx": 2,
+            "end_col_offset_idx": 3,
+            "text": "Revenue",
+            "column_header": true,
+            "row_header": false,
+            "row_section": false
+          },
+          {
+            "row_span": 1,
+            "col_span": 1,
+            "start_row_offset_idx": 0,
+            "end_row_offset_idx": 1,
+            "start_col_offset_idx": 3,
+            "end_col_offset_idx": 4,
+            "text": "Cost",
+            "column_header": true,
+            "row_header": false,
+            "row_section": false
+          },
+          {
+            "row_span": 5,
+            "col_span": 1,
+            "start_row_offset_idx": 1,
+            "end_row_offset_idx": 6,
+            "start_col_offset_idx": 0,
+            "end_col_offset_idx": 1,
+            "text": "2025",
+            "column_header": true,
+            "row_header": false,
+            "row_section": false
+          },
+          {
+            "row_span": 1,
+            "col_span": 1,
+            "start_row_offset_idx": 1,
+            "end_row_offset_idx": 2,
+            "start_col_offset_idx": 1,
+            "end_col_offset_idx": 2,
+            "text": "January",
+            "column_header": false,
+            "row_header": false,
+            "row_section": false
+          },
+          {
+            "row_span": 1,
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+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 0,
+              "end_row_offset_idx": 1,
+              "start_col_offset_idx": 4,
+              "end_col_offset_idx": 5,
+              "text": "Cost",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            }
+          ],
+          [
+            {
+              "row_span": 7,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 8,
+              "start_col_offset_idx": 0,
+              "end_col_offset_idx": 1,
+              "text": "2025",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 3,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 4,
+              "start_col_offset_idx": 1,
+              "end_col_offset_idx": 2,
+              "text": "Q1",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 2,
+              "start_col_offset_idx": 2,
+              "end_col_offset_idx": 3,
+              "text": "January",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 2,
+              "start_col_offset_idx": 3,
+              "end_col_offset_idx": 4,
+              "text": "$134",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 2,
+              "start_col_offset_idx": 4,
+              "end_col_offset_idx": 5,
+              "text": "$162",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            }
+          ],
+          [
+            {
+              "row_span": 7,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 8,
+              "start_col_offset_idx": 0,
+              "end_col_offset_idx": 1,
+              "text": "2025",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 3,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 4,
+              "start_col_offset_idx": 1,
+              "end_col_offset_idx": 2,
+              "text": "Q1",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 2,
+              "end_row_offset_idx": 3,
+              "start_col_offset_idx": 2,
+              "end_col_offset_idx": 3,
+              "text": "February",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 2,
+              "end_row_offset_idx": 3,
+              "start_col_offset_idx": 3,
+              "end_col_offset_idx": 4,
+              "text": "$150",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 2,
+              "end_row_offset_idx": 3,
+              "start_col_offset_idx": 4,
+              "end_col_offset_idx": 5,
+              "text": "$155",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            }
+          ],
+          [
+            {
+              "row_span": 7,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 8,
+              "start_col_offset_idx": 0,
+              "end_col_offset_idx": 1,
+              "text": "2025",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 3,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 4,
+              "start_col_offset_idx": 1,
+              "end_col_offset_idx": 2,
+              "text": "Q1",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 3,
+              "end_row_offset_idx": 4,
+              "start_col_offset_idx": 2,
+              "end_col_offset_idx": 3,
+              "text": "March",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 3,
+              "end_row_offset_idx": 4,
+              "start_col_offset_idx": 3,
+              "end_col_offset_idx": 4,
+              "text": "$160",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 3,
+              "end_row_offset_idx": 4,
+              "start_col_offset_idx": 4,
+              "end_col_offset_idx": 5,
+              "text": "$143",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            }
+          ],
+          [
+            {
+              "row_span": 7,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 8,
+              "start_col_offset_idx": 0,
+              "end_col_offset_idx": 1,
+              "text": "2025",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 2,
+              "col_span": 1,
+              "start_row_offset_idx": 4,
+              "end_row_offset_idx": 6,
+              "start_col_offset_idx": 1,
+              "end_col_offset_idx": 2,
+              "text": "Q2",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 4,
+              "end_row_offset_idx": 5,
+              "start_col_offset_idx": 2,
+              "end_col_offset_idx": 3,
+              "text": "April",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 4,
+              "end_row_offset_idx": 5,
+              "start_col_offset_idx": 3,
+              "end_col_offset_idx": 4,
+              "text": "$210",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 4,
+              "end_row_offset_idx": 5,
+              "start_col_offset_idx": 4,
+              "end_col_offset_idx": 5,
+              "text": "$150",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            }
+          ],
+          [
+            {
+              "row_span": 7,
+              "col_span": 1,
+              "start_row_offset_idx": 1,
+              "end_row_offset_idx": 8,
+              "start_col_offset_idx": 0,
+              "end_col_offset_idx": 1,
+              "text": "2025",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 2,
+              "col_span": 1,
+              "start_row_offset_idx": 4,
+              "end_row_offset_idx": 6,
+              "start_col_offset_idx": 1,
+              "end_col_offset_idx": 2,
+              "text": "Q2",
+              "column_header": true,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 5,
+              "end_row_offset_idx": 6,
+              "start_col_offset_idx": 2,
+              "end_col_offset_idx": 3,
+              "text": "May",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 5,
+              "end_row_offset_idx": 6,
+              "start_col_offset_idx": 3,
+              "end_col_offset_idx": 4,
+              "text": "$280",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            },
+            {
+              "row_span": 1,
+              "col_span": 1,
+              "start_row_offset_idx": 5,
+              "end_row_offset_idx": 6,
+              "start_col_offset_idx": 4,
+              "end_col_offset_idx": 5,
+              "text": "$120",
+              "column_header": false,
+              "row_header": false,
+              "row_section": false
+            }
+          ]
+        ]
+      }
+    }
+  ],
+  "key_value_items": [],
+  "form_items": [],
+  "pages": {}
+}
\ No newline at end of file
diff --git a/tests/data/groundtruth/docling_v2/example_08.html.md b/tests/data/groundtruth/docling_v2/example_08.html.md
new file mode 100644
index 00000000..462a8101
--- /dev/null
+++ b/tests/data/groundtruth/docling_v2/example_08.html.md
@@ -0,0 +1,29 @@
+## Pivot table with with 1 row header
+
+|   Year | Month    | Revenue   | Cost   |
+|--------|----------|-----------|--------|
+|   2025 | January  | $134      | $162   |
+|   2025 | February | $150      | $155   |
+|   2025 | March    | $160      | $143   |
+|   2025 | April    | $210      | $150   |
+|   2025 | May      | $280      | $120   |
+
+## Pivot table with 2 row headers
+
+|   Year | Quarter   | Month    | Revenue   | Cost   |
+|--------|-----------|----------|-----------|--------|
+|   2025 | Q1        | January  | $134      | $162   |
+|   2025 | Q1        | February | $150      | $155   |
+|   2025 | Q1        | March    | $160      | $143   |
+|   2025 | Q2        | April    | $210      | $150   |
+|   2025 | Q2        | May      | $280      | $120   |
+
+## Equivalent pivot table
+
+|   Year | Quarter   | Month    | Revenue   | Cost   |
+|--------|-----------|----------|-----------|--------|
+|   2025 | Q1        | January  | $134      | $162   |
+|   2025 | Q1        | February | $150      | $155   |
+|   2025 | Q1        | March    | $160      | $143   |
+|   2025 | Q2        | April    | $210      | $150   |
+|   2025 | Q2        | May      | $280      | $120   |
\ No newline at end of file
diff --git a/tests/data/groundtruth/docling_v2/textbox.docx.itxt b/tests/data/groundtruth/docling_v2/textbox.docx.itxt
new file mode 100644
index 00000000..2933724f
--- /dev/null
+++ b/tests/data/groundtruth/docling_v2/textbox.docx.itxt
@@ -0,0 +1,94 @@
+item-0 at level 0: unspecified: group _root_
+  item-1 at level 1: paragraph: Chiayi County Shuishang Township ... mentary School Affiliated Kindergarten
+  item-2 at level 1: paragraph: Infectious Disease Reporting Pro ... r the 113th Academic Year Kindergarten
+  item-3 at level 1: paragraph: 
+  item-4 at level 1: section: group textbox
+    item-5 at level 2: paragraph: Student falls ill
+    item-6 at level 2: paragraph: 
+    item-7 at level 2: paragraph: 
+    item-8 at level 2: list: group list
+      item-9 at level 3: list_item: Suggested Reportable Symptoms:
+＊ ... sh
+＊ Blisters
+＊ Headache
+＊ Sore throat
+  item-10 at level 1: list_item: 
+  item-11 at level 1: paragraph: 
+  item-12 at level 1: paragraph: 
+  item-13 at level 1: section: group textbox
+    item-14 at level 2: paragraph: If a caregiver suspects that wit ... the same suggested reportable symptoms
+  item-15 at level 1: paragraph: 
+  item-16 at level 1: paragraph: 
+  item-17 at level 1: paragraph: 
+  item-18 at level 1: paragraph: 
+  item-19 at level 1: section: group textbox
+    item-20 at level 2: paragraph: Yes
+  item-21 at level 1: paragraph: 
+  item-22 at level 1: paragraph: 
+  item-23 at level 1: section: group textbox
+    item-24 at level 2: paragraph:   A report must be submitted wi ... saster Prevention Information Network.
+    item-25 at level 2: paragraph:   A report must also be submitt ... d Infectious Disease Reporting System.
+    item-26 at level 2: paragraph: 
+    item-27 at level 2: paragraph: 
+  item-28 at level 1: paragraph: 
+  item-29 at level 1: paragraph: 
+  item-30 at level 1: paragraph: 
+  item-31 at level 1: paragraph: 
+  item-32 at level 1: paragraph: 
+  item-33 at level 1: paragraph: 
+  item-34 at level 1: section: group textbox
+    item-35 at level 2: paragraph: Health Bureau:
+    item-36 at level 2: paragraph: Upon receiving a report from the ... rt to the Centers for Disease Control.
+    item-37 at level 2: list: group list
+      item-38 at level 3: list_item: If necessary, provide health edu ... vidual to undergo specimen collection.
+      item-39 at level 3: list_item: Implement appropriate epidemic p ...  the Communicable Disease Control Act.
+    item-40 at level 2: paragraph: 
+    item-41 at level 2: paragraph: 
+  item-42 at level 1: list: group list
+    item-43 at level 2: list_item: 
+  item-44 at level 1: paragraph: 
+  item-45 at level 1: section: group textbox
+    item-46 at level 2: paragraph: Department of Education:
+Collabo ... vention measures at all school levels.
+  item-47 at level 1: paragraph: 
+  item-48 at level 1: paragraph: 
+  item-49 at level 1: paragraph: 
+  item-50 at level 1: paragraph: 
+  item-51 at level 1: paragraph: 
+  item-52 at level 1: paragraph: 
+  item-53 at level 1: paragraph: 
+  item-54 at level 1: section: group textbox
+    item-55 at level 2: inline: group group
+      item-56 at level 3: paragraph: The Health Bureau will handle
+      item-57 at level 3: paragraph: reporting and specimen collection
+      item-58 at level 3: paragraph: .
+    item-59 at level 2: paragraph: 
+    item-60 at level 2: paragraph: 
+  item-61 at level 1: paragraph: 
+  item-62 at level 1: paragraph: 
+  item-63 at level 1: paragraph: 
+  item-64 at level 1: section: group textbox
+    item-65 at level 2: paragraph: Whether the epidemic has eased.
+    item-66 at level 2: paragraph: 
+    item-67 at level 2: paragraph: 
+  item-68 at level 1: paragraph: 
+  item-69 at level 1: section: group textbox
+    item-70 at level 2: paragraph: Whether the test results are pos ... legally designated infectious disease.
+    item-71 at level 2: paragraph: No
+  item-72 at level 1: paragraph: 
+  item-73 at level 1: paragraph: 
+  item-74 at level 1: section: group textbox
+  item-75 at level 1: paragraph: 
+  item-76 at level 1: section: group textbox
+  item-77 at level 1: paragraph: 
+  item-78 at level 1: paragraph: 
+  item-79 at level 1: section: group textbox
+    item-80 at level 2: paragraph: Case closed.
+    item-81 at level 2: paragraph: 
+    item-82 at level 2: paragraph: 
+    item-83 at level 2: paragraph: The Health Bureau will carry out ... ters for Disease Control if necessary.
+  item-84 at level 1: paragraph: 
+  item-85 at level 1: section: group textbox
+  item-86 at level 1: paragraph: 
+  item-87 at level 1: paragraph: 
+  item-88 at level 1: paragraph: 
\ No newline at end of file
diff --git a/tests/data/groundtruth/docling_v2/textbox.docx.json b/tests/data/groundtruth/docling_v2/textbox.docx.json
new file mode 100644
index 00000000..c7985b24
--- /dev/null
+++ b/tests/data/groundtruth/docling_v2/textbox.docx.json
@@ -0,0 +1,1470 @@
+{
+  "schema_name": "DoclingDocument",
+  "version": "1.3.0",
+  "name": "textbox",
+  "origin": {
+    "mimetype": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+    "binary_hash": 830302052279341882,
+    "filename": "textbox.docx"
+  },
+  "furniture": {
+    "self_ref": "#/furniture",
+    "children": [],
+    "content_layer": "furniture",
+    "name": "_root_",
+    "label": "unspecified"
+  },
+  "body": {
+    "self_ref": "#/body",
+    "children": [
+      {
+        "$ref": "#/texts/0"
+      },
+      {
+        "$ref": "#/texts/1"
+      },
+      {
+        "$ref": "#/texts/2"
+      },
+      {
+        "$ref": "#/groups/0"
+      },
+      {
+        "$ref": "#/texts/7"
+      },
+      {
+        "$ref": "#/texts/8"
+      },
+      {
+        "$ref": "#/texts/9"
+      },
+      {
+        "$ref": "#/groups/2"
+      },
+      {
+        "$ref": "#/texts/11"
+      },
+      {
+        "$ref": "#/texts/12"
+      },
+      {
+        "$ref": "#/texts/13"
+      },
+      {
+        "$ref": "#/texts/14"
+      },
+      {
+        "$ref": "#/groups/3"
+      },
+      {
+        "$ref": "#/texts/16"
+      },
+      {
+        "$ref": "#/texts/17"
+      },
+      {
+        "$ref": "#/groups/4"
+      },
+      {
+        "$ref": "#/texts/22"
+      },
+      {
+        "$ref": "#/texts/23"
+      },
+      {
+        "$ref": "#/texts/24"
+      },
+      {
+        "$ref": "#/texts/25"
+      },
+      {
+        "$ref": "#/texts/26"
+      },
+      {
+        "$ref": "#/texts/27"
+      },
+      {
+        "$ref": "#/groups/5"
+      },
+      {
+        "$ref": "#/groups/7"
+      },
+      {
+        "$ref": "#/texts/35"
+      },
+      {
+        "$ref": "#/groups/8"
+      },
+      {
+        "$ref": "#/texts/37"
+      },
+      {
+        "$ref": "#/texts/38"
+      },
+      {
+        "$ref": "#/texts/39"
+      },
+      {
+        "$ref": "#/texts/40"
+      },
+      {
+        "$ref": "#/texts/41"
+      },
+      {
+        "$ref": "#/texts/42"
+      },
+      {
+        "$ref": "#/texts/43"
+      },
+      {
+        "$ref": "#/groups/9"
+      },
+      {
+        "$ref": "#/texts/49"
+      },
+      {
+        "$ref": "#/texts/50"
+      },
+      {
+        "$ref": "#/texts/51"
+      },
+      {
+        "$ref": "#/groups/11"
+      },
+      {
+        "$ref": "#/texts/55"
+      },
+      {
+        "$ref": "#/groups/12"
+      },
+      {
+        "$ref": "#/texts/58"
+      },
+      {
+        "$ref": "#/texts/59"
+      },
+      {
+        "$ref": "#/groups/13"
+      },
+      {
+        "$ref": "#/texts/60"
+      },
+      {
+        "$ref": "#/groups/14"
+      },
+      {
+        "$ref": "#/texts/61"
+      },
+      {
+        "$ref": "#/texts/62"
+      },
+      {
+        "$ref": "#/groups/15"
+      },
+      {
+        "$ref": "#/texts/67"
+      },
+      {
+        "$ref": "#/groups/16"
+      },
+      {
+        "$ref": "#/texts/68"
+      },
+      {
+        "$ref": "#/texts/69"
+      },
+      {
+        "$ref": "#/texts/70"
+      }
+    ],
+    "content_layer": "body",
+    "name": "_root_",
+    "label": "unspecified"
+  },
+  "groups": [
+    {
+      "self_ref": "#/groups/0",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/3"
+        },
+        {
+          "$ref": "#/texts/4"
+        },
+        {
+          "$ref": "#/texts/5"
+        },
+        {
+          "$ref": "#/groups/1"
+        }
+      ],
+      "content_layer": "body",
+      "name": "textbox",
+      "label": "section"
+    },
+    {
+      "self_ref": "#/groups/1",
+      "parent": {
+        "$ref": "#/groups/0"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/6"
+        }
+      ],
+      "content_layer": "body",
+      "name": "list",
+      "label": "list"
+    },
+    {
+      "self_ref": "#/groups/2",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/10"
+        }
+      ],
+      "content_layer": "body",
+      "name": "textbox",
+      "label": "section"
+    },
+    {
+      "self_ref": "#/groups/3",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/15"
+        }
+      ],
+      "content_layer": "body",
+      "name": "textbox",
+      "label": "section"
+    },
+    {
+      "self_ref": "#/groups/4",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/18"
+        },
+        {
+          "$ref": "#/texts/19"
+        },
+        {
+          "$ref": "#/texts/20"
+        },
+        {
+          "$ref": "#/texts/21"
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+      "orig": "Chiayi County Shuishang Township Nanjing Elementary School Affiliated Kindergarten",
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+      "orig": "Suggested Reportable Symptoms:\n＊ Fever\n＊ Cough\n＊ Diarrhea\n＊ Vomiting\n＊ Rash\n＊ Blisters\n＊ Headache\n＊ Sore throat",
+      "text": "Suggested Reportable Symptoms:\n＊ Fever\n＊ Cough\n＊ Diarrhea\n＊ Vomiting\n＊ Rash\n＊ Blisters\n＊ Headache\n＊ Sore throat",
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+      "orig": "If a caregiver suspects that within one week, a fifth of the class (for classes with more than 15 students) or more than three students (for classes with 15 or fewer students)\nshow the same suggested reportable symptoms",
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+      "orig": "  A report must be submitted within 24 hours via the Ministry of Education’s Campus Safety and Disaster Prevention Information Network.",
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+      "orig": "  A report must also be submitted within 48 hours through Chiayi County’s School Suspected Infectious Disease Reporting System.",
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+      "orig": "Upon receiving a report from the kindergarten, conduct a preliminary assessment of the case, and depending on the situation and type of illness, carry out an epidemiological investigation and report to the Centers for Disease Control.",
+      "text": "Upon receiving a report from the kindergarten, conduct a preliminary assessment of the case, and depending on the situation and type of illness, carry out an epidemiological investigation and report to the Centers for Disease Control.",
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+      "orig": "If necessary, provide health education and important reminders at the kindergarten, or notify the individual to undergo specimen collection.",
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+      "orig": "Implement appropriate epidemic prevention measures in accordance with the Communicable Disease Control Act.",
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+      "orig": "Department of Education:\nCollaborate with the Health Bureau in conducting epidemiological investigations and assist Health Bureau personnel in implementing necessary epidemic prevention measures at all school levels.",
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+      "orig": "reporting and specimen collection",
+      "text": "reporting and specimen collection",
+      "formatting": {
+        "bold": true,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/46",
+      "parent": {
+        "$ref": "#/groups/10"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": ".",
+      "text": ".",
+      "formatting": {
+        "bold": false,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/47",
+      "parent": {
+        "$ref": "#/groups/9"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/48",
+      "parent": {
+        "$ref": "#/groups/9"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/49",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/50",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/51",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/52",
+      "parent": {
+        "$ref": "#/groups/11"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "Whether the epidemic has eased.",
+      "text": "Whether the epidemic has eased.",
+      "formatting": {
+        "bold": true,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/53",
+      "parent": {
+        "$ref": "#/groups/11"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/54",
+      "parent": {
+        "$ref": "#/groups/11"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/55",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/56",
+      "parent": {
+        "$ref": "#/groups/12"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "Whether the test results are positive for a legally designated infectious disease.",
+      "text": "Whether the test results are positive for a legally designated infectious disease.",
+      "formatting": {
+        "bold": true,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/57",
+      "parent": {
+        "$ref": "#/groups/12"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "No",
+      "text": "No",
+      "formatting": {
+        "bold": false,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/58",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/59",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/60",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/61",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/62",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/63",
+      "parent": {
+        "$ref": "#/groups/15"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "Case closed.",
+      "text": "Case closed.",
+      "formatting": {
+        "bold": true,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/64",
+      "parent": {
+        "$ref": "#/groups/15"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/65",
+      "parent": {
+        "$ref": "#/groups/15"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/66",
+      "parent": {
+        "$ref": "#/groups/15"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "The Health Bureau will carry out subsequent related epidemic prevention measures and follow-up, and will request assistance from the Centers for Disease Control if necessary.",
+      "text": "The Health Bureau will carry out subsequent related epidemic prevention measures and follow-up, and will request assistance from the Centers for Disease Control if necessary.",
+      "formatting": {
+        "bold": false,
+        "italic": false,
+        "underline": false,
+        "strikethrough": false
+      }
+    },
+    {
+      "self_ref": "#/texts/67",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/68",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/69",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    },
+    {
+      "self_ref": "#/texts/70",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "paragraph",
+      "prov": [],
+      "orig": "",
+      "text": ""
+    }
+  ],
+  "pictures": [],
+  "tables": [],
+  "key_value_items": [],
+  "form_items": [],
+  "pages": {}
+}
\ No newline at end of file
diff --git a/tests/data/groundtruth/docling_v2/textbox.docx.md b/tests/data/groundtruth/docling_v2/textbox.docx.md
new file mode 100644
index 00000000..829abad9
--- /dev/null
+++ b/tests/data/groundtruth/docling_v2/textbox.docx.md
@@ -0,0 +1,46 @@
+**Chiayi County Shuishang Township Nanjing Elementary School Affiliated Kindergarten**
+
+**Infectious Disease Reporting Procedure for the 113th Academic Year Kindergarten**
+
+**Student falls ill**
+
+- Suggested Reportable Symptoms:
+＊ Fever
+＊ Cough
+＊ Diarrhea
+＊ Vomiting
+＊ Rash
+＊ Blisters
+＊ Headache
+＊ Sore throat
+
+If a caregiver suspects that within one week, a fifth of the class (for classes with more than 15 students) or more than three students (for classes with 15 or fewer students)
+show the same suggested reportable symptoms
+
+Yes
+
+  A report must be submitted within 24 hours via the Ministry of Education’s Campus Safety and Disaster Prevention Information Network.
+
+  A report must also be submitted within 48 hours through Chiayi County’s School Suspected Infectious Disease Reporting System.
+
+**Health Bureau:**
+
+Upon receiving a report from the kindergarten, conduct a preliminary assessment of the case, and depending on the situation and type of illness, carry out an epidemiological investigation and report to the Centers for Disease Control.
+
+- If necessary, provide health education and important reminders at the kindergarten, or notify the individual to undergo specimen collection.
+- Implement appropriate epidemic prevention measures in accordance with the Communicable Disease Control Act.
+
+Department of Education:
+Collaborate with the Health Bureau in conducting epidemiological investigations and assist Health Bureau personnel in implementing necessary epidemic prevention measures at all school levels.
+
+The Health Bureau will handle **reporting and specimen collection** .
+
+**Whether the epidemic has eased.**
+
+**Whether the test results are positive for a legally designated infectious disease.**
+
+No
+
+**Case closed.**
+
+The Health Bureau will carry out subsequent related epidemic prevention measures and follow-up, and will request assistance from the Centers for Disease Control if necessary.
\ No newline at end of file
diff --git a/tests/data/html/example_8.html b/tests/data/html/example_08.html
similarity index 100%
rename from tests/data/html/example_8.html
rename to tests/data/html/example_08.html

From b3e0042813da0ff6a73badcc58bb8dac693510e2 Mon Sep 17 00:00:00 2001
From: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
Date: Wed, 28 May 2025 15:42:34 +0200
Subject: [PATCH 3/9] chore: exclude data from GH Linguist (#1671)

Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>
---
 .gitattributes | 3 +++
 1 file changed, 3 insertions(+)
 create mode 100644 .gitattributes

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 00000000..85260753
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,3 @@
+tests/data/** linguist-vendored
+tests/data_scanned/** linguist-vendored
+docs/** linguist-vendored

From 39429231257501ed6951acd163973adf478503ea Mon Sep 17 00:00:00 2001
From: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
Date: Wed, 28 May 2025 17:55:31 +0200
Subject: [PATCH 4/9] chore: fix or ignore runtime and deprecation warnings
 (#1660)

* chore: fix or catch deprecation warnings

Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>

* chore: update poetry lock with latest docling-core

Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>

---------

Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
---
 docling/models/layout_model.py             |  22 +++-
 docling/models/page_preprocessing_model.py |  17 ++-
 docling/pipeline/standard_pdf_pipeline.py  | 122 +++++++++++----------
 poetry.lock                                |   9 +-
 tests/test_backend_csv.py                  |  11 +-
 tests/test_legacy_format_transform.py      |  14 +--
 tests/verify_utils.py                      |   8 +-
 7 files changed, 116 insertions(+), 87 deletions(-)

diff --git a/docling/models/layout_model.py b/docling/models/layout_model.py
index e2abb373..03a047fa 100644
--- a/docling/models/layout_model.py
+++ b/docling/models/layout_model.py
@@ -185,13 +185,23 @@ class LayoutModel(BasePageModel):
                     ).postprocess()
                     # processed_clusters, processed_cells = clusters, page.cells
 
-                    conv_res.confidence.pages[page.page_no].layout_score = float(
-                        np.mean([c.confidence for c in processed_clusters])
-                    )
+                    with warnings.catch_warnings():
+                        warnings.filterwarnings(
+                            "ignore",
+                            "Mean of empty slice|invalid value encountered in scalar divide",
+                            RuntimeWarning,
+                            "numpy",
+                        )
 
-                    conv_res.confidence.pages[page.page_no].ocr_score = float(
-                        np.mean([c.confidence for c in processed_cells if c.from_ocr])
-                    )
+                        conv_res.confidence.pages[page.page_no].layout_score = float(
+                            np.mean([c.confidence for c in processed_clusters])
+                        )
+
+                        conv_res.confidence.pages[page.page_no].ocr_score = float(
+                            np.mean(
+                                [c.confidence for c in processed_cells if c.from_ocr]
+                            )
+                        )
 
                     page.cells = processed_cells
                     page.predictions.layout = LayoutPrediction(
diff --git a/docling/models/page_preprocessing_model.py b/docling/models/page_preprocessing_model.py
index 6a1dcf19..3cfa6352 100644
--- a/docling/models/page_preprocessing_model.py
+++ b/docling/models/page_preprocessing_model.py
@@ -1,4 +1,5 @@
 import re
+import warnings
 from collections.abc import Iterable
 from pathlib import Path
 from typing import Optional
@@ -7,7 +8,7 @@ import numpy as np
 from PIL import ImageDraw
 from pydantic import BaseModel
 
-from docling.datamodel.base_models import Page, ScoreValue
+from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.settings import settings
 from docling.models.base_model import BasePageModel
@@ -76,11 +77,15 @@ class PagePreprocessingModel(BasePageModel):
             score = self.rate_text_quality(c.text)
             text_scores.append(score)
 
-        conv_res.confidence.pages[page.page_no].parse_score = float(
-            np.nanquantile(
-                text_scores, q=0.10
-            )  # To emphasise problems in the parse_score, we take the 10% percentile score of all text cells.
-        )
+        with warnings.catch_warnings():
+            warnings.filterwarnings(
+                "ignore", "Mean of empty slice", RuntimeWarning, "numpy"
+            )
+            conv_res.confidence.pages[page.page_no].parse_score = float(
+                np.nanquantile(
+                    text_scores, q=0.10
+                )  # To emphasise problems in the parse_score, we take the 10% percentile score of all text cells.
+            )
 
         # DEBUG code:
         def draw_text_boxes(image, cells, show: bool = False):
diff --git a/docling/pipeline/standard_pdf_pipeline.py b/docling/pipeline/standard_pdf_pipeline.py
index 4269900c..88317fd3 100644
--- a/docling/pipeline/standard_pdf_pipeline.py
+++ b/docling/pipeline/standard_pdf_pipeline.py
@@ -8,7 +8,7 @@ from docling_core.types.doc import DocItem, ImageRef, PictureItem, TableItem
 
 from docling.backend.abstract_backend import AbstractDocumentBackend
 from docling.backend.pdf_backend import PdfDocumentBackend
-from docling.datamodel.base_models import AssembledUnit, Page, PageConfidenceScores
+from docling.datamodel.base_models import AssembledUnit, Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import PdfPipelineOptions
 from docling.datamodel.settings import settings
@@ -55,11 +55,13 @@ class StandardPdfPipeline(PaginatedPipeline):
                 "When defined, it must point to a folder containing all models required by the pipeline."
             )
 
-        self.keep_images = (
-            self.pipeline_options.generate_page_images
-            or self.pipeline_options.generate_picture_images
-            or self.pipeline_options.generate_table_images
-        )
+        with warnings.catch_warnings():  # deprecated generate_table_images
+            warnings.filterwarnings("ignore", category=DeprecationWarning)
+            self.keep_images = (
+                self.pipeline_options.generate_page_images
+                or self.pipeline_options.generate_picture_images
+                or self.pipeline_options.generate_table_images
+            )
 
         self.reading_order_model = ReadingOrderModel(options=ReadingOrderOptions())
 
@@ -210,64 +212,74 @@ class StandardPdfPipeline(PaginatedPipeline):
                     )
 
             # Generate images of the requested element types
-            if (
-                self.pipeline_options.generate_picture_images
-                or self.pipeline_options.generate_table_images
-            ):
-                scale = self.pipeline_options.images_scale
-                for element, _level in conv_res.document.iterate_items():
-                    if not isinstance(element, DocItem) or len(element.prov) == 0:
-                        continue
-                    if (
-                        isinstance(element, PictureItem)
-                        and self.pipeline_options.generate_picture_images
-                    ) or (
-                        isinstance(element, TableItem)
-                        and self.pipeline_options.generate_table_images
-                    ):
-                        page_ix = element.prov[0].page_no - 1
-                        page = next(
-                            (p for p in conv_res.pages if p.page_no == page_ix),
-                            cast("Page", None),
-                        )
-                        assert page is not None
-                        assert page.size is not None
-                        assert page.image is not None
+            with warnings.catch_warnings():  # deprecated generate_table_images
+                warnings.filterwarnings("ignore", category=DeprecationWarning)
+                if (
+                    self.pipeline_options.generate_picture_images
+                    or self.pipeline_options.generate_table_images
+                ):
+                    scale = self.pipeline_options.images_scale
+                    for element, _level in conv_res.document.iterate_items():
+                        if not isinstance(element, DocItem) or len(element.prov) == 0:
+                            continue
+                        if (
+                            isinstance(element, PictureItem)
+                            and self.pipeline_options.generate_picture_images
+                        ) or (
+                            isinstance(element, TableItem)
+                            and self.pipeline_options.generate_table_images
+                        ):
+                            page_ix = element.prov[0].page_no - 1
+                            page = next(
+                                (p for p in conv_res.pages if p.page_no == page_ix),
+                                cast("Page", None),
+                            )
+                            assert page is not None
+                            assert page.size is not None
+                            assert page.image is not None
 
-                        crop_bbox = (
-                            element.prov[0]
-                            .bbox.scaled(scale=scale)
-                            .to_top_left_origin(page_height=page.size.height * scale)
-                        )
+                            crop_bbox = (
+                                element.prov[0]
+                                .bbox.scaled(scale=scale)
+                                .to_top_left_origin(
+                                    page_height=page.size.height * scale
+                                )
+                            )
 
-                        cropped_im = page.image.crop(crop_bbox.as_tuple())
-                        element.image = ImageRef.from_pil(
-                            cropped_im, dpi=int(72 * scale)
-                        )
+                            cropped_im = page.image.crop(crop_bbox.as_tuple())
+                            element.image = ImageRef.from_pil(
+                                cropped_im, dpi=int(72 * scale)
+                            )
 
             # Aggregate confidence values for document:
             if len(conv_res.pages) > 0:
-                conv_res.confidence.layout_score = float(
-                    np.nanmean(
-                        [c.layout_score for c in conv_res.confidence.pages.values()]
+                with warnings.catch_warnings():
+                    warnings.filterwarnings(
+                        "ignore",
+                        category=RuntimeWarning,
+                        message="Mean of empty slice|All-NaN slice encountered",
                     )
-                )
-                conv_res.confidence.parse_score = float(
-                    np.nanquantile(
-                        [c.parse_score for c in conv_res.confidence.pages.values()],
-                        q=0.1,  # parse score should relate to worst 10% of pages.
+                    conv_res.confidence.layout_score = float(
+                        np.nanmean(
+                            [c.layout_score for c in conv_res.confidence.pages.values()]
+                        )
                     )
-                )
-                conv_res.confidence.table_score = float(
-                    np.nanmean(
-                        [c.table_score for c in conv_res.confidence.pages.values()]
+                    conv_res.confidence.parse_score = float(
+                        np.nanquantile(
+                            [c.parse_score for c in conv_res.confidence.pages.values()],
+                            q=0.1,  # parse score should relate to worst 10% of pages.
+                        )
                     )
-                )
-                conv_res.confidence.ocr_score = float(
-                    np.nanmean(
-                        [c.ocr_score for c in conv_res.confidence.pages.values()]
+                    conv_res.confidence.table_score = float(
+                        np.nanmean(
+                            [c.table_score for c in conv_res.confidence.pages.values()]
+                        )
+                    )
+                    conv_res.confidence.ocr_score = float(
+                        np.nanmean(
+                            [c.ocr_score for c in conv_res.confidence.pages.values()]
+                        )
                     )
-                )
 
         return conv_res
 
diff --git a/poetry.lock b/poetry.lock
index 12c1b15c..0d4e1f02 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1018,15 +1018,15 @@ files = [
 
 [[package]]
 name = "docling-core"
-version = "2.31.2"
+version = "2.32.0"
 description = "A python library to define and validate data types in Docling."
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "docling_core-2.31.2-py3-none-any.whl", hash = "sha256:a6db62ac49febcc9e3e24a9acf58e88342ad7f76ab03217b6a3365509eb12eda"},
-    {file = "docling_core-2.31.2.tar.gz", hash = "sha256:6d61863ce492affc45aa522c291631db0be7c50dc146cb93c42af7ff00bd22a2"},
+    {file = "docling_core-2.32.0-py3-none-any.whl", hash = "sha256:6c643b45a18c5ed8cecf12d1eeeb7ff677dcfdb24fa4aa88122e3c9cc2aeb58d"},
+    {file = "docling_core-2.32.0.tar.gz", hash = "sha256:3ec21461f309540bd8bf4880f6c2f0144f6895988102a4204ca5549c76a945c8"},
 ]
 
 [package.dependencies]
@@ -2640,11 +2640,8 @@ files = [
     {file = "lxml-5.4.0-cp36-cp36m-win_amd64.whl", hash = "sha256:7ce1a171ec325192c6a636b64c94418e71a1964f56d002cc28122fceff0b6121"},
     {file = "lxml-5.4.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:795f61bcaf8770e1b37eec24edf9771b307df3af74d1d6f27d812e15a9ff3872"},
     {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:29f451a4b614a7b5b6c2e043d7b64a15bd8304d7e767055e8ab68387a8cacf4e"},
-    {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:891f7f991a68d20c75cb13c5c9142b2a3f9eb161f1f12a9489c82172d1f133c0"},
     {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4aa412a82e460571fad592d0f93ce9935a20090029ba08eca05c614f99b0cc92"},
-    {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:ac7ba71f9561cd7d7b55e1ea5511543c0282e2b6450f122672a2694621d63b7e"},
     {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:c5d32f5284012deaccd37da1e2cd42f081feaa76981f0eaa474351b68df813c5"},
-    {file = "lxml-5.4.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:ce31158630a6ac85bddd6b830cffd46085ff90498b397bd0a259f59d27a12188"},
     {file = "lxml-5.4.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:31e63621e073e04697c1b2d23fcb89991790eef370ec37ce4d5d469f40924ed6"},
     {file = "lxml-5.4.0-cp37-cp37m-win32.whl", hash = "sha256:be2ba4c3c5b7900246a8f866580700ef0d538f2ca32535e991027bdaba944063"},
     {file = "lxml-5.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:09846782b1ef650b321484ad429217f5154da4d6e786636c38e434fa32e94e49"},
diff --git a/tests/test_backend_csv.py b/tests/test_backend_csv.py
index d929ae19..f7b5d309 100644
--- a/tests/test_backend_csv.py
+++ b/tests/test_backend_csv.py
@@ -39,8 +39,15 @@ def test_e2e_valid_csv_conversions():
         print(f"converting {csv_path}")
 
         gt_path = csv_path.parent.parent / "groundtruth" / "docling_v2" / csv_path.name
-
-        conv_result: ConversionResult = converter.convert(csv_path)
+        if csv_path.stem in (
+            "csv-too-few-columns",
+            "csv-too-many-columns",
+            "csv-inconsistent-header",
+        ):
+            with warns(UserWarning, match="Inconsistent column lengths"):
+                conv_result: ConversionResult = converter.convert(csv_path)
+        else:
+            conv_result: ConversionResult = converter.convert(csv_path)
 
         doc: DoclingDocument = conv_result.document
 
diff --git a/tests/test_legacy_format_transform.py b/tests/test_legacy_format_transform.py
index caef8ffc..73c73c5b 100644
--- a/tests/test_legacy_format_transform.py
+++ b/tests/test_legacy_format_transform.py
@@ -38,17 +38,15 @@ def get_converter():
 
 def test_compare_legacy_output(test_doc_paths):
     converter = get_converter()
-
     res = converter.convert_all(test_doc_paths, raises_on_error=True)
-
     for conv_res in res:
         print(f"Results for {conv_res.input.file}")
-        print(
-            json.dumps(
-                conv_res.legacy_document.model_dump(
-                    mode="json", by_alias=True, exclude_none=True
+        with pytest.warns(DeprecationWarning, match="Use document instead"):
+            print(
+                json.dumps(
+                    conv_res.legacy_document.model_dump(
+                        mode="json", by_alias=True, exclude_none=True
+                    )
                 )
             )
-        )
-
     # assert res.legacy_output == res.legacy_output_transformed
diff --git a/tests/verify_utils.py b/tests/verify_utils.py
index 46a46ace..0db53502 100644
--- a/tests/verify_utils.py
+++ b/tests/verify_utils.py
@@ -4,6 +4,7 @@ import warnings
 from pathlib import Path
 from typing import List, Optional
 
+import pytest
 from docling_core.types.doc import (
     DocItem,
     DoclingDocument,
@@ -302,9 +303,8 @@ def verify_conversion_result_v1(
     )
 
     doc_pred_pages: List[Page] = doc_result.pages
-    doc_pred: DsDocument = doc_result.legacy_document
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", DeprecationWarning)
+    with pytest.warns(DeprecationWarning, match="Use document instead"):
+        doc_pred: DsDocument = doc_result.legacy_document
         doc_pred_md = doc_result.legacy_document.export_to_markdown()
         doc_pred_dt = doc_result.legacy_document.export_to_document_tokens()
 
@@ -391,7 +391,7 @@ def verify_conversion_result_v2(
     doc_pred_pages: List[Page] = doc_result.pages
     doc_pred: DoclingDocument = doc_result.document
     doc_pred_md = doc_result.document.export_to_markdown()
-    doc_pred_dt = doc_result.document.export_to_document_tokens()
+    doc_pred_dt = doc_result.document.export_to_doctags()
 
     engine_suffix = "" if ocr_engine is None else f".{ocr_engine}"
 

From 984cb137f6a8ae2f3a63623add6c474d97ef8739 Mon Sep 17 00:00:00 2001
From: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
Date: Mon, 2 Jun 2025 08:43:24 +0200
Subject: [PATCH 5/9] fix: guess HTML content starting with script tag (#1673)

Signed-off-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
---
 docling/datamodel/document.py | 6 +++++-
 tests/test_input_doc.py       | 7 +++++++
 2 files changed, 12 insertions(+), 1 deletion(-)

diff --git a/docling/datamodel/document.py b/docling/datamodel/document.py
index 5791c0e4..4c71f5c8 100644
--- a/docling/datamodel/document.py
+++ b/docling/datamodel/document.py
@@ -412,7 +412,11 @@ class _DocumentConversionInput(BaseModel):
             else:
                 return "application/xml"
 
-        if re.match(r"<!doctype\s+html|<html|<head|<body", content_str):
+        if re.match(
+            r"(<script.*?>.*?</script>\s*)?(<!doctype\s+html|<html|<head|<body)",
+            content_str,
+            re.DOTALL,
+        ):
             return "text/html"
 
         p = re.compile(
diff --git a/tests/test_input_doc.py b/tests/test_input_doc.py
index 94a68873..d5e40f0f 100644
--- a/tests/test_input_doc.py
+++ b/tests/test_input_doc.py
@@ -132,6 +132,13 @@ def test_guess_format(tmp_path):
     doc_path = Path("./tests/data/html/wiki_duck.html")
     assert dci._guess_format(doc_path) == InputFormat.HTML
 
+    html_str = (  # HTML starting with a script
+        "<script>\nconsole.log('foo');\n</script>"
+        '<!doctype html>\n<html lang="en-us class="no-js"></html>'
+    )
+    stream = DocumentStream(name="lorem_ipsum", stream=BytesIO(f"{html_str}".encode()))
+    assert dci._guess_format(stream) == InputFormat.HTML
+
     # Valid MD
     buf = BytesIO(Path("./tests/data/md/wiki.md").open("rb").read())
     stream = DocumentStream(name="wiki.md", stream=buf)

From 1c8a1283c4d48d48d26aeed6c0ea863cbfac8847 Mon Sep 17 00:00:00 2001
From: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
Date: Mon, 2 Jun 2025 12:13:19 +0200
Subject: [PATCH 6/9] test: ensure utf-8 in test data utils (#1691)

Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>
---
 tests/verify_utils.py | 40 ++++++++++++++++++++--------------------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/tests/verify_utils.py b/tests/verify_utils.py
index 0db53502..96cf9c3c 100644
--- a/tests/verify_utils.py
+++ b/tests/verify_utils.py
@@ -323,33 +323,33 @@ def verify_conversion_result_v1(
 
     if generate:  # only used when re-generating truth
         pages_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(pages_path, "w") as fw:
+        with open(pages_path, mode="w", encoding="utf-8") as fw:
             fw.write(
                 json.dumps(doc_pred_pages, default=pydantic_encoder, indent=indent)
             )
 
         json_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(json_path, "w") as fw:
+        with open(json_path, mode="w", encoding="utf-8") as fw:
             fw.write(json.dumps(doc_pred, default=pydantic_encoder, indent=indent))
 
         md_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(md_path, "w") as fw:
+        with open(md_path, mode="w", encoding="utf-8") as fw:
             fw.write(doc_pred_md)
 
         dt_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(dt_path, "w") as fw:
+        with open(dt_path, mode="w", encoding="utf-8") as fw:
             fw.write(doc_pred_dt)
     else:  # default branch in test
-        with open(pages_path) as fr:
+        with open(pages_path, encoding="utf-8") as fr:
             doc_true_pages = PageList.validate_json(fr.read())
 
-        with open(json_path) as fr:
+        with open(json_path, encoding="utf-8") as fr:
             doc_true: DsDocument = DsDocument.model_validate_json(fr.read())
 
-        with open(md_path) as fr:
+        with open(md_path, encoding="utf-8") as fr:
             doc_true_md = fr.read()
 
-        with open(dt_path) as fr:
+        with open(dt_path, encoding="utf-8") as fr:
             doc_true_dt = fr.read()
 
         if not fuzzy:
@@ -408,33 +408,33 @@ def verify_conversion_result_v2(
 
     if generate:  # only used when re-generating truth
         pages_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(pages_path, "w") as fw:
+        with open(pages_path, mode="w", encoding="utf-8") as fw:
             fw.write(
                 json.dumps(doc_pred_pages, default=pydantic_encoder, indent=indent)
             )
 
         json_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(json_path, "w") as fw:
+        with open(json_path, mode="w", encoding="utf-8") as fw:
             fw.write(json.dumps(doc_pred, default=pydantic_encoder, indent=indent))
 
         md_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(md_path, "w") as fw:
+        with open(md_path, mode="w", encoding="utf-8") as fw:
             fw.write(doc_pred_md)
 
         dt_path.parent.mkdir(parents=True, exist_ok=True)
-        with open(dt_path, "w") as fw:
+        with open(dt_path, mode="w", encoding="utf-8") as fw:
             fw.write(doc_pred_dt)
     else:  # default branch in test
-        with open(pages_path) as fr:
+        with open(pages_path, encoding="utf-8") as fr:
             doc_true_pages = PageList.validate_json(fr.read())
 
-        with open(json_path) as fr:
+        with open(json_path, encoding="utf-8") as fr:
             doc_true: DoclingDocument = DoclingDocument.model_validate_json(fr.read())
 
-        with open(md_path) as fr:
+        with open(md_path, encoding="utf-8") as fr:
             doc_true_md = fr.read()
 
-        with open(dt_path) as fr:
+        with open(dt_path, encoding="utf-8") as fr:
             doc_true_dt = fr.read()
 
         if not fuzzy:
@@ -461,12 +461,12 @@ def verify_conversion_result_v2(
 
 def verify_document(pred_doc: DoclingDocument, gtfile: str, generate: bool = False):
     if not os.path.exists(gtfile) or generate:
-        with open(gtfile, "w") as fw:
+        with open(gtfile, mode="w", encoding="utf-8") as fw:
             json.dump(pred_doc.export_to_dict(), fw, ensure_ascii=False, indent=2)
 
         return True
     else:
-        with open(gtfile) as fr:
+        with open(gtfile, encoding="utf-8") as fr:
             true_doc = DoclingDocument.model_validate_json(fr.read())
 
         return verify_docitems(pred_doc, true_doc, fuzzy=False)
@@ -476,11 +476,11 @@ def verify_export(pred_text: str, gtfile: str, generate: bool = False) -> bool:
     file = Path(gtfile)
 
     if not file.exists() or generate:
-        with file.open("w") as fw:
+        with file.open(mode="w", encoding="utf-8") as fw:
             fw.write(pred_text)
         return True
 
-    with file.open("r") as fr:
+    with file.open(encoding="utf-8") as fr:
         true_text = fr.read()
 
     return pred_text == true_text

From 11ca4f7a7bd8068bee472510dd71f1cd58f86f17 Mon Sep 17 00:00:00 2001
From: Edgar Hipp <hipp.edg@gmail.com>
Date: Mon, 2 Jun 2025 12:35:59 +0200
Subject: [PATCH 7/9] docs: fix typo in index.md (#1676)

Signed-off-by: Edgar Hipp <hipp.edg@gmail.com>
---
 docs/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/index.md b/docs/index.md
index dc7f7801..90f79331 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -39,7 +39,7 @@ Docling simplifies document processing, parsing diverse formats — including ad
 ## Get started
 
 <div class="grid">
-  <a href="concepts/" class="card"><b>Concepts</b><br />Learn Docling fundamendals</a>
+  <a href="concepts/" class="card"><b>Concepts</b><br />Learn Docling fundamentals</a>
   <a href="examples/" class="card"><b>Examples</b><br />Try out recipes for various use cases, including conversion, RAG, and more</a>
   <a href="integrations/" class="card"><b>Integrations</b><br />Check out integrations with popular frameworks and tools</a>
   <a href="reference/document_converter/" class="card"><b>Reference</b><br />See more API details</a>

From 08dcacc5cb61ca182ac436a442304d674e172589 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Mon, 2 Jun 2025 12:30:26 +0000
Subject: [PATCH 8/9] chore: bump version to 2.35.0 [skip ci]

---
 CHANGELOG.md   | 15 +++++++++++++++
 pyproject.toml |  2 +-
 2 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9678243c..040a3b55 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,18 @@
+## [v2.35.0](https://github.com/docling-project/docling/releases/tag/v2.35.0) - 2025-06-02
+
+### Feature
+
+* Add visualization of bbox on page with html export. ([#1663](https://github.com/docling-project/docling/issues/1663)) ([`b356b33`](https://github.com/docling-project/docling/commit/b356b33059bdeeaf1584d9d189cbf1c4832e367c))
+
+### Fix
+
+* Guess HTML content starting with script tag ([#1673](https://github.com/docling-project/docling/issues/1673)) ([`984cb13`](https://github.com/docling-project/docling/commit/984cb137f6a8ae2f3a63623add6c474d97ef8739))
+* UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd0 in position 0: invalid continuation byte ([#1665](https://github.com/docling-project/docling/issues/1665)) ([`51d3450`](https://github.com/docling-project/docling/commit/51d34509156e2dbec9e697276681d59f9ca7e020))
+
+### Documentation
+
+* Fix typo in index.md ([#1676](https://github.com/docling-project/docling/issues/1676)) ([`11ca4f7`](https://github.com/docling-project/docling/commit/11ca4f7a7bd8068bee472510dd71f1cd58f86f17))
+
 ## [v2.34.0](https://github.com/docling-project/docling/releases/tag/v2.34.0) - 2025-05-22
 
 ### Feature
diff --git a/pyproject.toml b/pyproject.toml
index a203ff85..7b5c6e39 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "docling"
-version = "2.34.0"  # DO NOT EDIT, updated automatically
+version = "2.35.0"  # DO NOT EDIT, updated automatically
 description = "SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications."
 authors = [
   "Christoph Auer <cau@zurich.ibm.com>",

From cfdf4cea25e681fc557df310b8bf34f3dd892e15 Mon Sep 17 00:00:00 2001
From: "Peter W. J. Staar" <91719829+PeterStaar-IBM@users.noreply.github.com>
Date: Mon, 2 Jun 2025 17:01:06 +0200
Subject: [PATCH 9/9] feat: new vlm-models support (#1570)

* feat: adding new vlm-models support

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* fixed the transformers

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* got microsoft/Phi-4-multimodal-instruct to work

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* working on vlm's

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* refactoring the VLM part

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* all working, now serious refacgtoring necessary

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* refactoring the download_model

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* added the formulate_prompt

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* pixtral 12b runs via MLX and native transformers

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* added the VlmPredictionToken

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* refactoring minimal_vlm_pipeline

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* fixed the MyPy

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* added pipeline_model_specializations file

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* need to get Phi4 working again ...

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* finalising last points for vlms support

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* fixed the pipeline for Phi4

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* streamlining all code

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* reformatted the code

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* fixing the tests

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* added the html backend to the VLM pipeline

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* fixed the static load_from_doctags

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* restore stable imports

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* use AutoModelForVision2Seq for Pixtral and review example (including rename)

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* remove unused value

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* refactor instances of VLM models

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* skip compare example in CI

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* use lowercase and uppercase only

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* add new minimal_vlm example and refactor pipeline_options_vlm_model for cleaner import

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* rename pipeline_vlm_model_spec

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* move more argument to options and simplify model init

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* add supported_devices

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* remove not-needed function

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* exclude minimal_vlm

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* missing file

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* add message for transformers version

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* rename to specs

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* use module import and remove MLX from non-darwin

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* remove hf_vlm_model and add extra_generation_args

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* use single HF VLM model class

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* remove torch type

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* add docs for vision models

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

---------

Signed-off-by: Peter Staar <taa@zurich.ibm.com>
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
Co-authored-by: Michele Dolfi <dol@zurich.ibm.com>
---
 .github/workflows/checks.yml                  |    2 +-
 README.md                                     |    2 +-
 docling/cli/main.py                           |   27 +-
 docling/datamodel/accelerator_options.py      |   68 +
 docling/datamodel/base_models.py              |   18 +-
 docling/datamodel/pipeline_options.py         |  190 +-
 .../datamodel/pipeline_options_vlm_model.py   |   81 +
 docling/datamodel/vlm_model_specs.py          |  144 ++
 docling/document_converter.py                 |    5 +
 docling/models/api_vlm_model.py               |    2 +-
 docling/models/base_ocr_model.py              |    3 +-
 docling/models/code_formula_model.py          |   17 +-
 docling/models/document_picture_classifier.py |   17 +-
 docling/models/easyocr_model.py               |    3 +-
 docling/models/hf_vlm_model.py                |  182 --
 docling/models/layout_model.py                |   17 +-
 docling/models/ocr_mac_model.py               |    2 +-
 .../models/picture_description_api_model.py   |    2 +-
 .../models/picture_description_base_model.py  |    2 +-
 .../models/picture_description_vlm_model.py   |   29 +-
 docling/models/rapid_ocr_model.py             |    3 +-
 docling/models/table_structure_model.py       |   18 +-
 docling/models/tesseract_ocr_cli_model.py     |    2 +-
 docling/models/tesseract_ocr_model.py         |    2 +-
 docling/models/utils/__init__.py              |    0
 docling/models/utils/hf_model_download.py     |   40 +
 docling/models/vlm_models_inline/__init__.py  |    0
 .../hf_transformers_model.py                  |  194 ++
 .../mlx_model.py}                             |  100 +-
 docling/pipeline/vlm_pipeline.py              |  291 ++-
 docling/utils/accelerator_utils.py            |   19 +-
 docling/utils/model_downloader.py             |   25 +-
 docs/examples/compare_vlm_models.py           |  160 ++
 docs/examples/custom_convert.py               |    3 +-
 docs/examples/minimal_vlm_pipeline.py         |  101 +-
 docs/examples/run_with_accelerator.py         |    3 +-
 docs/examples/translate.py                    |    1 -
 docs/examples/vlm_pipeline_api_model.py       |    3 +-
 docs/index.md                                 |    2 +-
 docs/usage/vision_models.md                   |  121 +
 mkdocs.yml                                    |    2 +
 poetry.lock                                   | 1954 ++++++-----------
 pyproject.toml                                |    5 +
 tests/test_e2e_conversion.py                  |    3 +-
 tests/test_e2e_ocr_conversion.py              |    2 +-
 tests/test_options.py                         |    3 +-
 46 files changed, 1968 insertions(+), 1902 deletions(-)
 create mode 100644 docling/datamodel/accelerator_options.py
 create mode 100644 docling/datamodel/pipeline_options_vlm_model.py
 create mode 100644 docling/datamodel/vlm_model_specs.py
 delete mode 100644 docling/models/hf_vlm_model.py
 create mode 100644 docling/models/utils/__init__.py
 create mode 100644 docling/models/utils/hf_model_download.py
 create mode 100644 docling/models/vlm_models_inline/__init__.py
 create mode 100644 docling/models/vlm_models_inline/hf_transformers_model.py
 rename docling/models/{hf_mlx_model.py => vlm_models_inline/mlx_model.py} (55%)
 create mode 100644 docs/examples/compare_vlm_models.py
 create mode 100644 docs/usage/vision_models.md

diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml
index e64f68cc..b8635818 100644
--- a/.github/workflows/checks.yml
+++ b/.github/workflows/checks.yml
@@ -51,7 +51,7 @@ jobs:
         run: |
           for file in docs/examples/*.py; do
             # Skip batch_convert.py
-            if [[ "$(basename "$file")" =~ ^(batch_convert|minimal_vlm_pipeline|minimal|export_multimodal|custom_convert|develop_picture_enrichment|rapidocr_with_custom_models|offline_convert|pictures_description|pictures_description_api|vlm_pipeline_api_model).py ]]; then
+            if [[ "$(basename "$file")" =~ ^(batch_convert|compare_vlm_models|minimal|minimal_vlm_pipeline|export_multimodal|custom_convert|develop_picture_enrichment|rapidocr_with_custom_models|offline_convert|pictures_description|pictures_description_api|vlm_pipeline_api_model).py ]]; then
                 echo "Skipping $file"
                 continue
             fi
diff --git a/README.md b/README.md
index 1378f600..f0a8c8dc 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ Docling simplifies document processing, parsing diverse formats — including ad
 * 🔒 Local execution capabilities for sensitive data and air-gapped environments
 * 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
 * 🔍 Extensive OCR support for scanned PDFs and images
-* 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)) 🆕
+* 🥚 Support of several Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview))
 * 💻 Simple and convenient CLI
 
 ### Coming soon
diff --git a/docling/cli/main.py b/docling/cli/main.py
index 347c2613..083f53b2 100644
--- a/docling/cli/main.py
+++ b/docling/cli/main.py
@@ -28,6 +28,7 @@ from docling.backend.docling_parse_v2_backend import DoclingParseV2DocumentBacke
 from docling.backend.docling_parse_v4_backend import DoclingParseV4DocumentBackend
 from docling.backend.pdf_backend import PdfDocumentBackend
 from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import (
     ConversionStatus,
     FormatToExtensions,
@@ -36,8 +37,6 @@ from docling.datamodel.base_models import (
 )
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     EasyOcrOptions,
     OcrOptions,
     PaginatedPipelineOptions,
@@ -45,14 +44,16 @@ from docling.datamodel.pipeline_options import (
     PdfPipeline,
     PdfPipelineOptions,
     TableFormerMode,
-    VlmModelType,
     VlmPipelineOptions,
-    granite_vision_vlm_conversion_options,
-    granite_vision_vlm_ollama_conversion_options,
-    smoldocling_vlm_conversion_options,
-    smoldocling_vlm_mlx_conversion_options,
 )
 from docling.datamodel.settings import settings
+from docling.datamodel.vlm_model_specs import (
+    GRANITE_VISION_OLLAMA,
+    GRANITE_VISION_TRANSFORMERS,
+    SMOLDOCLING_MLX,
+    SMOLDOCLING_TRANSFORMERS,
+    VlmModelType,
+)
 from docling.document_converter import DocumentConverter, FormatOption, PdfFormatOption
 from docling.models.factories import get_ocr_factory
 from docling.pipeline.vlm_pipeline import VlmPipeline
@@ -579,20 +580,16 @@ def convert(  # noqa: C901
             )
 
             if vlm_model == VlmModelType.GRANITE_VISION:
-                pipeline_options.vlm_options = granite_vision_vlm_conversion_options
+                pipeline_options.vlm_options = GRANITE_VISION_TRANSFORMERS
             elif vlm_model == VlmModelType.GRANITE_VISION_OLLAMA:
-                pipeline_options.vlm_options = (
-                    granite_vision_vlm_ollama_conversion_options
-                )
+                pipeline_options.vlm_options = GRANITE_VISION_OLLAMA
             elif vlm_model == VlmModelType.SMOLDOCLING:
-                pipeline_options.vlm_options = smoldocling_vlm_conversion_options
+                pipeline_options.vlm_options = SMOLDOCLING_TRANSFORMERS
                 if sys.platform == "darwin":
                     try:
                         import mlx_vlm
 
-                        pipeline_options.vlm_options = (
-                            smoldocling_vlm_mlx_conversion_options
-                        )
+                        pipeline_options.vlm_options = SMOLDOCLING_MLX
                     except ImportError:
                         _log.warning(
                             "To run SmolDocling faster, please install mlx-vlm:\n"
diff --git a/docling/datamodel/accelerator_options.py b/docling/datamodel/accelerator_options.py
new file mode 100644
index 00000000..1b0ea8cf
--- /dev/null
+++ b/docling/datamodel/accelerator_options.py
@@ -0,0 +1,68 @@
+import logging
+import os
+import re
+from enum import Enum
+from typing import Any, Union
+
+from pydantic import field_validator, model_validator
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+_log = logging.getLogger(__name__)
+
+
+class AcceleratorDevice(str, Enum):
+    """Devices to run model inference"""
+
+    AUTO = "auto"
+    CPU = "cpu"
+    CUDA = "cuda"
+    MPS = "mps"
+
+
+class AcceleratorOptions(BaseSettings):
+    model_config = SettingsConfigDict(
+        env_prefix="DOCLING_", env_nested_delimiter="_", populate_by_name=True
+    )
+
+    num_threads: int = 4
+    device: Union[str, AcceleratorDevice] = "auto"
+    cuda_use_flash_attention2: bool = False
+
+    @field_validator("device")
+    def validate_device(cls, value):
+        # "auto", "cpu", "cuda", "mps", or "cuda:N"
+        if value in {d.value for d in AcceleratorDevice} or re.match(
+            r"^cuda(:\d+)?$", value
+        ):
+            return value
+        raise ValueError(
+            "Invalid device option. Use 'auto', 'cpu', 'mps', 'cuda', or 'cuda:N'."
+        )
+
+    @model_validator(mode="before")
+    @classmethod
+    def check_alternative_envvars(cls, data: Any) -> Any:
+        r"""
+        Set num_threads from the "alternative" envvar OMP_NUM_THREADS.
+        The alternative envvar is used only if it is valid and the regular envvar is not set.
+
+        Notice: The standard pydantic settings mechanism with parameter "aliases" does not provide
+        the same functionality. In case the alias envvar is set and the user tries to override the
+        parameter in settings initialization, Pydantic treats the parameter provided in __init__()
+        as an extra input instead of simply overwriting the evvar value for that parameter.
+        """
+        if isinstance(data, dict):
+            input_num_threads = data.get("num_threads")
+            # Check if to set the num_threads from the alternative envvar
+            if input_num_threads is None:
+                docling_num_threads = os.getenv("DOCLING_NUM_THREADS")
+                omp_num_threads = os.getenv("OMP_NUM_THREADS")
+                if docling_num_threads is None and omp_num_threads is not None:
+                    try:
+                        data["num_threads"] = int(omp_num_threads)
+                    except ValueError:
+                        _log.error(
+                            "Ignoring misformatted envvar OMP_NUM_THREADS '%s'",
+                            omp_num_threads,
+                        )
+        return data
diff --git a/docling/datamodel/base_models.py b/docling/datamodel/base_models.py
index 1e98a972..6299e619 100644
--- a/docling/datamodel/base_models.py
+++ b/docling/datamodel/base_models.py
@@ -13,11 +13,11 @@ from docling_core.types.doc import (
     TableCell,
 )
 from docling_core.types.doc.page import SegmentedPdfPage, TextCell
-
-# DO NOT REMOVE; explicitly exposed from this location
 from docling_core.types.io import (
     DocumentStream,
 )
+
+# DO NOT REMOVE; explicitly exposed from this location
 from PIL.Image import Image
 from pydantic import BaseModel, ConfigDict, Field, computed_field
 
@@ -131,12 +131,6 @@ class ErrorItem(BaseModel):
     error_message: str
 
 
-# class Cell(BaseModel):
-#    id: int
-#    text: str
-#    bbox: BoundingBox
-
-
 class Cluster(BaseModel):
     id: int
     label: DocItemLabel
@@ -158,8 +152,16 @@ class LayoutPrediction(BaseModel):
     clusters: List[Cluster] = []
 
 
+class VlmPredictionToken(BaseModel):
+    text: str = ""
+    token: int = -1
+    logprob: float = -1
+
+
 class VlmPrediction(BaseModel):
     text: str = ""
+    generated_tokens: list[VlmPredictionToken] = []
+    generation_time: float = -1
 
 
 class ContainerElement(
diff --git a/docling/datamodel/pipeline_options.py b/docling/datamodel/pipeline_options.py
index 1d35227c..cde5cd33 100644
--- a/docling/datamodel/pipeline_options.py
+++ b/docling/datamodel/pipeline_options.py
@@ -1,6 +1,4 @@
 import logging
-import os
-import re
 from enum import Enum
 from pathlib import Path
 from typing import Any, ClassVar, Dict, List, Literal, Optional, Union
@@ -10,73 +8,28 @@ from pydantic import (
     BaseModel,
     ConfigDict,
     Field,
-    field_validator,
-    model_validator,
 )
-from pydantic_settings import BaseSettings, SettingsConfigDict
 from typing_extensions import deprecated
 
+# Import the following for backwards compatibility
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
+from docling.datamodel.pipeline_options_vlm_model import (
+    ApiVlmOptions,
+    InferenceFramework,
+    InlineVlmOptions,
+    ResponseFormat,
+)
+from docling.datamodel.vlm_model_specs import (
+    GRANITE_VISION_OLLAMA as granite_vision_vlm_ollama_conversion_options,
+    GRANITE_VISION_TRANSFORMERS as granite_vision_vlm_conversion_options,
+    SMOLDOCLING_MLX as smoldocling_vlm_mlx_conversion_options,
+    SMOLDOCLING_TRANSFORMERS as smoldocling_vlm_conversion_options,
+    VlmModelType,
+)
+
 _log = logging.getLogger(__name__)
 
 
-class AcceleratorDevice(str, Enum):
-    """Devices to run model inference"""
-
-    AUTO = "auto"
-    CPU = "cpu"
-    CUDA = "cuda"
-    MPS = "mps"
-
-
-class AcceleratorOptions(BaseSettings):
-    model_config = SettingsConfigDict(
-        env_prefix="DOCLING_", env_nested_delimiter="_", populate_by_name=True
-    )
-
-    num_threads: int = 4
-    device: Union[str, AcceleratorDevice] = "auto"
-    cuda_use_flash_attention2: bool = False
-
-    @field_validator("device")
-    def validate_device(cls, value):
-        # "auto", "cpu", "cuda", "mps", or "cuda:N"
-        if value in {d.value for d in AcceleratorDevice} or re.match(
-            r"^cuda(:\d+)?$", value
-        ):
-            return value
-        raise ValueError(
-            "Invalid device option. Use 'auto', 'cpu', 'mps', 'cuda', or 'cuda:N'."
-        )
-
-    @model_validator(mode="before")
-    @classmethod
-    def check_alternative_envvars(cls, data: Any) -> Any:
-        r"""
-        Set num_threads from the "alternative" envvar OMP_NUM_THREADS.
-        The alternative envvar is used only if it is valid and the regular envvar is not set.
-
-        Notice: The standard pydantic settings mechanism with parameter "aliases" does not provide
-        the same functionality. In case the alias envvar is set and the user tries to override the
-        parameter in settings initialization, Pydantic treats the parameter provided in __init__()
-        as an extra input instead of simply overwriting the evvar value for that parameter.
-        """
-        if isinstance(data, dict):
-            input_num_threads = data.get("num_threads")
-            # Check if to set the num_threads from the alternative envvar
-            if input_num_threads is None:
-                docling_num_threads = os.getenv("DOCLING_NUM_THREADS")
-                omp_num_threads = os.getenv("OMP_NUM_THREADS")
-                if docling_num_threads is None and omp_num_threads is not None:
-                    try:
-                        data["num_threads"] = int(omp_num_threads)
-                    except ValueError:
-                        _log.error(
-                            "Ignoring misformatted envvar OMP_NUM_THREADS '%s'",
-                            omp_num_threads,
-                        )
-        return data
-
-
 class BaseOptions(BaseModel):
     """Base class for options."""
 
@@ -121,24 +74,22 @@ class RapidOcrOptions(OcrOptions):
     lang: List[str] = [
         "english",
         "chinese",
-    ]  # However, language as a parameter is not supported by rapidocr yet and hence changing this options doesn't affect anything.
-    # For more details on supported languages by RapidOCR visit https://rapidai.github.io/RapidOCRDocs/blog/2022/09/28/%E6%94%AF%E6%8C%81%E8%AF%86%E5%88%AB%E8%AF%AD%E8%A8%80/
+    ]
+    # However, language as a parameter is not supported by rapidocr yet
+    # and hence changing this options doesn't affect anything.
+
+    # For more details on supported languages by RapidOCR visit
+    # https://rapidai.github.io/RapidOCRDocs/blog/2022/09/28/%E6%94%AF%E6%8C%81%E8%AF%86%E5%88%AB%E8%AF%AD%E8%A8%80/
+
+    # For more details on the following options visit
+    # https://rapidai.github.io/RapidOCRDocs/install_usage/api/RapidOCR/
 
-    # For more details on the following options visit https://rapidai.github.io/RapidOCRDocs/install_usage/api/RapidOCR/
     text_score: float = 0.5  # same default as rapidocr
 
     use_det: Optional[bool] = None  # same default as rapidocr
     use_cls: Optional[bool] = None  # same default as rapidocr
     use_rec: Optional[bool] = None  # same default as rapidocr
 
-    # class Device(Enum):
-    #     CPU = "CPU"
-    #     CUDA = "CUDA"
-    #     DIRECTML = "DIRECTML"
-    #     AUTO = "AUTO"
-
-    # device: Device = Device.AUTO  # Default value is AUTO
-
     print_verbose: bool = False  # same default as rapidocr
 
     det_model_path: Optional[str] = None  # same default as rapidocr
@@ -244,101 +195,18 @@ class PictureDescriptionVlmOptions(PictureDescriptionBaseOptions):
         return self.repo_id.replace("/", "--")
 
 
+# SmolVLM
 smolvlm_picture_description = PictureDescriptionVlmOptions(
     repo_id="HuggingFaceTB/SmolVLM-256M-Instruct"
 )
-# phi_picture_description = PictureDescriptionVlmOptions(repo_id="microsoft/Phi-3-vision-128k-instruct")
+
+# GraniteVision
 granite_picture_description = PictureDescriptionVlmOptions(
     repo_id="ibm-granite/granite-vision-3.1-2b-preview",
     prompt="What is shown in this image?",
 )
 
 
-class BaseVlmOptions(BaseModel):
-    kind: str
-    prompt: str
-
-
-class ResponseFormat(str, Enum):
-    DOCTAGS = "doctags"
-    MARKDOWN = "markdown"
-
-
-class InferenceFramework(str, Enum):
-    MLX = "mlx"
-    TRANSFORMERS = "transformers"
-    OPENAI = "openai"
-
-
-class HuggingFaceVlmOptions(BaseVlmOptions):
-    kind: Literal["hf_model_options"] = "hf_model_options"
-
-    repo_id: str
-    load_in_8bit: bool = True
-    llm_int8_threshold: float = 6.0
-    quantized: bool = False
-
-    inference_framework: InferenceFramework
-    response_format: ResponseFormat
-
-    @property
-    def repo_cache_folder(self) -> str:
-        return self.repo_id.replace("/", "--")
-
-
-class ApiVlmOptions(BaseVlmOptions):
-    kind: Literal["api_model_options"] = "api_model_options"
-
-    url: AnyUrl = AnyUrl(
-        "http://localhost:11434/v1/chat/completions"
-    )  # Default to ollama
-    headers: Dict[str, str] = {}
-    params: Dict[str, Any] = {}
-    scale: float = 2.0
-    timeout: float = 60
-    concurrency: int = 1
-    response_format: ResponseFormat
-
-
-smoldocling_vlm_mlx_conversion_options = HuggingFaceVlmOptions(
-    repo_id="ds4sd/SmolDocling-256M-preview-mlx-bf16",
-    prompt="Convert this page to docling.",
-    response_format=ResponseFormat.DOCTAGS,
-    inference_framework=InferenceFramework.MLX,
-)
-
-
-smoldocling_vlm_conversion_options = HuggingFaceVlmOptions(
-    repo_id="ds4sd/SmolDocling-256M-preview",
-    prompt="Convert this page to docling.",
-    response_format=ResponseFormat.DOCTAGS,
-    inference_framework=InferenceFramework.TRANSFORMERS,
-)
-
-granite_vision_vlm_conversion_options = HuggingFaceVlmOptions(
-    repo_id="ibm-granite/granite-vision-3.1-2b-preview",
-    # prompt="OCR the full page to markdown.",
-    prompt="OCR this image.",
-    response_format=ResponseFormat.MARKDOWN,
-    inference_framework=InferenceFramework.TRANSFORMERS,
-)
-
-granite_vision_vlm_ollama_conversion_options = ApiVlmOptions(
-    url=AnyUrl("http://localhost:11434/v1/chat/completions"),
-    params={"model": "granite3.2-vision:2b"},
-    prompt="OCR the full page to markdown.",
-    scale=1.0,
-    timeout=120,
-    response_format=ResponseFormat.MARKDOWN,
-)
-
-
-class VlmModelType(str, Enum):
-    SMOLDOCLING = "smoldocling"
-    GRANITE_VISION = "granite_vision"
-    GRANITE_VISION_OLLAMA = "granite_vision_ollama"
-
-
 # Define an enum for the backend options
 class PdfBackend(str, Enum):
     """Enum of valid PDF backends."""
@@ -387,7 +255,7 @@ class VlmPipelineOptions(PaginatedPipelineOptions):
         False  # (To be used with vlms, or other generative models)
     )
     # If True, text from backend will be used instead of generated text
-    vlm_options: Union[HuggingFaceVlmOptions, ApiVlmOptions] = (
+    vlm_options: Union[InlineVlmOptions, ApiVlmOptions] = (
         smoldocling_vlm_conversion_options
     )
 
diff --git a/docling/datamodel/pipeline_options_vlm_model.py b/docling/datamodel/pipeline_options_vlm_model.py
new file mode 100644
index 00000000..c1ec28aa
--- /dev/null
+++ b/docling/datamodel/pipeline_options_vlm_model.py
@@ -0,0 +1,81 @@
+from enum import Enum
+from typing import Any, Dict, List, Literal
+
+from pydantic import AnyUrl, BaseModel
+from typing_extensions import deprecated
+
+from docling.datamodel.accelerator_options import AcceleratorDevice
+
+
+class BaseVlmOptions(BaseModel):
+    kind: str
+    prompt: str
+
+
+class ResponseFormat(str, Enum):
+    DOCTAGS = "doctags"
+    MARKDOWN = "markdown"
+    HTML = "html"
+
+
+class InferenceFramework(str, Enum):
+    MLX = "mlx"
+    TRANSFORMERS = "transformers"
+
+
+class TransformersModelType(str, Enum):
+    AUTOMODEL = "automodel"
+    AUTOMODEL_VISION2SEQ = "automodel-vision2seq"
+    AUTOMODEL_CAUSALLM = "automodel-causallm"
+
+
+class InlineVlmOptions(BaseVlmOptions):
+    kind: Literal["inline_model_options"] = "inline_model_options"
+
+    repo_id: str
+    trust_remote_code: bool = False
+    load_in_8bit: bool = True
+    llm_int8_threshold: float = 6.0
+    quantized: bool = False
+
+    inference_framework: InferenceFramework
+    transformers_model_type: TransformersModelType = TransformersModelType.AUTOMODEL
+    response_format: ResponseFormat
+
+    supported_devices: List[AcceleratorDevice] = [
+        AcceleratorDevice.CPU,
+        AcceleratorDevice.CUDA,
+        AcceleratorDevice.MPS,
+    ]
+
+    scale: float = 2.0
+
+    temperature: float = 0.0
+    stop_strings: List[str] = []
+    extra_generation_config: Dict[str, Any] = {}
+
+    use_kv_cache: bool = True
+    max_new_tokens: int = 4096
+
+    @property
+    def repo_cache_folder(self) -> str:
+        return self.repo_id.replace("/", "--")
+
+
+@deprecated("Use InlineVlmOptions instead.")
+class HuggingFaceVlmOptions(InlineVlmOptions):
+    pass
+
+
+class ApiVlmOptions(BaseVlmOptions):
+    kind: Literal["api_model_options"] = "api_model_options"
+
+    url: AnyUrl = AnyUrl(
+        "http://localhost:11434/v1/chat/completions"
+    )  # Default to ollama
+    headers: Dict[str, str] = {}
+    params: Dict[str, Any] = {}
+    scale: float = 2.0
+    timeout: float = 60
+    concurrency: int = 1
+    response_format: ResponseFormat
diff --git a/docling/datamodel/vlm_model_specs.py b/docling/datamodel/vlm_model_specs.py
new file mode 100644
index 00000000..5045c846
--- /dev/null
+++ b/docling/datamodel/vlm_model_specs.py
@@ -0,0 +1,144 @@
+import logging
+from enum import Enum
+
+from pydantic import (
+    AnyUrl,
+)
+
+from docling.datamodel.accelerator_options import AcceleratorDevice
+from docling.datamodel.pipeline_options_vlm_model import (
+    ApiVlmOptions,
+    InferenceFramework,
+    InlineVlmOptions,
+    ResponseFormat,
+    TransformersModelType,
+)
+
+_log = logging.getLogger(__name__)
+
+
+# SmolDocling
+SMOLDOCLING_MLX = InlineVlmOptions(
+    repo_id="ds4sd/SmolDocling-256M-preview-mlx-bf16",
+    prompt="Convert this page to docling.",
+    response_format=ResponseFormat.DOCTAGS,
+    inference_framework=InferenceFramework.MLX,
+    supported_devices=[AcceleratorDevice.MPS],
+    scale=2.0,
+    temperature=0.0,
+)
+
+SMOLDOCLING_TRANSFORMERS = InlineVlmOptions(
+    repo_id="ds4sd/SmolDocling-256M-preview",
+    prompt="Convert this page to docling.",
+    response_format=ResponseFormat.DOCTAGS,
+    inference_framework=InferenceFramework.TRANSFORMERS,
+    transformers_model_type=TransformersModelType.AUTOMODEL_VISION2SEQ,
+    supported_devices=[
+        AcceleratorDevice.CPU,
+        AcceleratorDevice.CUDA,
+        AcceleratorDevice.MPS,
+    ],
+    scale=2.0,
+    temperature=0.0,
+)
+
+# GraniteVision
+GRANITE_VISION_TRANSFORMERS = InlineVlmOptions(
+    repo_id="ibm-granite/granite-vision-3.2-2b",
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.TRANSFORMERS,
+    transformers_model_type=TransformersModelType.AUTOMODEL_VISION2SEQ,
+    supported_devices=[
+        AcceleratorDevice.CPU,
+        AcceleratorDevice.CUDA,
+        AcceleratorDevice.MPS,
+    ],
+    scale=2.0,
+    temperature=0.0,
+)
+
+GRANITE_VISION_OLLAMA = ApiVlmOptions(
+    url=AnyUrl("http://localhost:11434/v1/chat/completions"),
+    params={"model": "granite3.2-vision:2b"},
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    scale=1.0,
+    timeout=120,
+    response_format=ResponseFormat.MARKDOWN,
+    temperature=0.0,
+)
+
+# Pixtral
+PIXTRAL_12B_TRANSFORMERS = InlineVlmOptions(
+    repo_id="mistral-community/pixtral-12b",
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.TRANSFORMERS,
+    transformers_model_type=TransformersModelType.AUTOMODEL_VISION2SEQ,
+    supported_devices=[AcceleratorDevice.CPU, AcceleratorDevice.CUDA],
+    scale=2.0,
+    temperature=0.0,
+)
+
+PIXTRAL_12B_MLX = InlineVlmOptions(
+    repo_id="mlx-community/pixtral-12b-bf16",
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.MLX,
+    supported_devices=[AcceleratorDevice.MPS],
+    scale=2.0,
+    temperature=0.0,
+)
+
+# Phi4
+PHI4_TRANSFORMERS = InlineVlmOptions(
+    repo_id="microsoft/Phi-4-multimodal-instruct",
+    prompt="Convert this page to MarkDown. Do not miss any text and only output the bare markdown",
+    trust_remote_code=True,
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.TRANSFORMERS,
+    transformers_model_type=TransformersModelType.AUTOMODEL_CAUSALLM,
+    supported_devices=[AcceleratorDevice.CPU, AcceleratorDevice.CUDA],
+    scale=2.0,
+    temperature=0.0,
+    extra_generation_config=dict(num_logits_to_keep=0),
+)
+
+# Qwen
+QWEN25_VL_3B_MLX = InlineVlmOptions(
+    repo_id="mlx-community/Qwen2.5-VL-3B-Instruct-bf16",
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.MLX,
+    supported_devices=[AcceleratorDevice.MPS],
+    scale=2.0,
+    temperature=0.0,
+)
+
+# Gemma-3
+GEMMA3_12B_MLX = InlineVlmOptions(
+    repo_id="mlx-community/gemma-3-12b-it-bf16",
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.MLX,
+    supported_devices=[AcceleratorDevice.MPS],
+    scale=2.0,
+    temperature=0.0,
+)
+
+GEMMA3_27B_MLX = InlineVlmOptions(
+    repo_id="mlx-community/gemma-3-27b-it-bf16",
+    prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+    response_format=ResponseFormat.MARKDOWN,
+    inference_framework=InferenceFramework.MLX,
+    supported_devices=[AcceleratorDevice.MPS],
+    scale=2.0,
+    temperature=0.0,
+)
+
+
+class VlmModelType(str, Enum):
+    SMOLDOCLING = "smoldocling"
+    GRANITE_VISION = "granite_vision"
+    GRANITE_VISION_OLLAMA = "granite_vision_ollama"
diff --git a/docling/document_converter.py b/docling/document_converter.py
index 08095d43..e553c083 100644
--- a/docling/document_converter.py
+++ b/docling/document_converter.py
@@ -186,6 +186,11 @@ class DocumentConverter:
             Tuple[Type[BasePipeline], str], BasePipeline
         ] = {}
 
+    def _get_initialized_pipelines(
+        self,
+    ) -> dict[tuple[Type[BasePipeline], str], BasePipeline]:
+        return self.initialized_pipelines
+
     def _get_pipeline_options_hash(self, pipeline_options: PipelineOptions) -> str:
         """Generate a hash of pipeline options to use as part of the cache key."""
         options_str = str(pipeline_options.model_dump())
diff --git a/docling/models/api_vlm_model.py b/docling/models/api_vlm_model.py
index 60bc6fce..30bc43ea 100644
--- a/docling/models/api_vlm_model.py
+++ b/docling/models/api_vlm_model.py
@@ -3,7 +3,7 @@ from concurrent.futures import ThreadPoolExecutor
 
 from docling.datamodel.base_models import Page, VlmPrediction
 from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import ApiVlmOptions
+from docling.datamodel.pipeline_options_vlm_model import ApiVlmOptions
 from docling.exceptions import OperationNotAllowed
 from docling.models.base_model import BasePageModel
 from docling.utils.api_image_request import api_image_request
diff --git a/docling/models/base_ocr_model.py b/docling/models/base_ocr_model.py
index 9f05aed3..4cbdeba5 100644
--- a/docling/models/base_ocr_model.py
+++ b/docling/models/base_ocr_model.py
@@ -11,9 +11,10 @@ from PIL import Image, ImageDraw
 from rtree import index
 from scipy.ndimage import binary_dilation, find_objects, label
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import AcceleratorOptions, OcrOptions
+from docling.datamodel.pipeline_options import OcrOptions
 from docling.datamodel.settings import settings
 from docling.models.base_model import BaseModelWithOptions, BasePageModel
 
diff --git a/docling/models/code_formula_model.py b/docling/models/code_formula_model.py
index bf747c56..19a831ab 100644
--- a/docling/models/code_formula_model.py
+++ b/docling/models/code_formula_model.py
@@ -16,9 +16,10 @@ from docling_core.types.doc.labels import CodeLanguageLabel
 from PIL import Image, ImageOps
 from pydantic import BaseModel
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.base_models import ItemAndImageEnrichmentElement
-from docling.datamodel.pipeline_options import AcceleratorOptions
 from docling.models.base_model import BaseItemAndImageEnrichmentModel
+from docling.models.utils.hf_model_download import download_hf_model
 from docling.utils.accelerator_utils import decide_device
 
 
@@ -117,20 +118,14 @@ class CodeFormulaModel(BaseItemAndImageEnrichmentModel):
         force: bool = False,
         progress: bool = False,
     ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
+        return download_hf_model(
             repo_id="ds4sd/CodeFormula",
-            force_download=force,
-            local_dir=local_dir,
             revision="v1.0.2",
+            local_dir=local_dir,
+            force=force,
+            progress=progress,
         )
 
-        return Path(download_path)
-
     def is_processable(self, doc: DoclingDocument, element: NodeItem) -> bool:
         """
         Determines if a given element in a document can be processed by the model.
diff --git a/docling/models/document_picture_classifier.py b/docling/models/document_picture_classifier.py
index 6a57a74d..73a30203 100644
--- a/docling/models/document_picture_classifier.py
+++ b/docling/models/document_picture_classifier.py
@@ -13,8 +13,9 @@ from docling_core.types.doc import (
 from PIL import Image
 from pydantic import BaseModel
 
-from docling.datamodel.pipeline_options import AcceleratorOptions
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.models.base_model import BaseEnrichmentModel
+from docling.models.utils.hf_model_download import download_hf_model
 from docling.utils.accelerator_utils import decide_device
 
 
@@ -105,20 +106,14 @@ class DocumentPictureClassifier(BaseEnrichmentModel):
     def download_models(
         local_dir: Optional[Path] = None, force: bool = False, progress: bool = False
     ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
+        return download_hf_model(
             repo_id="ds4sd/DocumentFigureClassifier",
-            force_download=force,
-            local_dir=local_dir,
             revision="v1.0.1",
+            local_dir=local_dir,
+            force=force,
+            progress=progress,
         )
 
-        return Path(download_path)
-
     def is_processable(self, doc: DoclingDocument, element: NodeItem) -> bool:
         """
         Determines if the given element can be processed by the classifier.
diff --git a/docling/models/easyocr_model.py b/docling/models/easyocr_model.py
index b40ca506..53bee9c9 100644
--- a/docling/models/easyocr_model.py
+++ b/docling/models/easyocr_model.py
@@ -9,11 +9,10 @@ import numpy
 from docling_core.types.doc import BoundingBox, CoordOrigin
 from docling_core.types.doc.page import BoundingRectangle, TextCell
 
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     EasyOcrOptions,
     OcrOptions,
 )
diff --git a/docling/models/hf_vlm_model.py b/docling/models/hf_vlm_model.py
deleted file mode 100644
index 29276fc4..00000000
--- a/docling/models/hf_vlm_model.py
+++ /dev/null
@@ -1,182 +0,0 @@
-import logging
-import time
-from collections.abc import Iterable
-from pathlib import Path
-from typing import Optional
-
-from docling.datamodel.base_models import Page, VlmPrediction
-from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
-    HuggingFaceVlmOptions,
-)
-from docling.models.base_model import BasePageModel
-from docling.utils.accelerator_utils import decide_device
-from docling.utils.profiling import TimeRecorder
-
-_log = logging.getLogger(__name__)
-
-
-class HuggingFaceVlmModel(BasePageModel):
-    def __init__(
-        self,
-        enabled: bool,
-        artifacts_path: Optional[Path],
-        accelerator_options: AcceleratorOptions,
-        vlm_options: HuggingFaceVlmOptions,
-    ):
-        self.enabled = enabled
-
-        self.vlm_options = vlm_options
-
-        if self.enabled:
-            import torch
-            from transformers import (  # type: ignore
-                AutoModelForVision2Seq,
-                AutoProcessor,
-                BitsAndBytesConfig,
-            )
-
-            device = decide_device(accelerator_options.device)
-            self.device = device
-
-            _log.debug(f"Available device for HuggingFace VLM: {device}")
-
-            repo_cache_folder = vlm_options.repo_id.replace("/", "--")
-
-            # PARAMETERS:
-            if artifacts_path is None:
-                artifacts_path = self.download_models(self.vlm_options.repo_id)
-            elif (artifacts_path / repo_cache_folder).exists():
-                artifacts_path = artifacts_path / repo_cache_folder
-
-            self.param_question = vlm_options.prompt  # "Perform Layout Analysis."
-            self.param_quantization_config = BitsAndBytesConfig(
-                load_in_8bit=vlm_options.load_in_8bit,  # True,
-                llm_int8_threshold=vlm_options.llm_int8_threshold,  # 6.0
-            )
-            self.param_quantized = vlm_options.quantized  # False
-
-            self.processor = AutoProcessor.from_pretrained(artifacts_path)
-            if not self.param_quantized:
-                self.vlm_model = AutoModelForVision2Seq.from_pretrained(
-                    artifacts_path,
-                    device_map=device,
-                    torch_dtype=torch.bfloat16,
-                    _attn_implementation=(
-                        "flash_attention_2"
-                        if self.device.startswith("cuda")
-                        and accelerator_options.cuda_use_flash_attention2
-                        else "eager"
-                    ),
-                )  # .to(self.device)
-
-            else:
-                self.vlm_model = AutoModelForVision2Seq.from_pretrained(
-                    artifacts_path,
-                    device_map=device,
-                    torch_dtype="auto",
-                    quantization_config=self.param_quantization_config,
-                    _attn_implementation=(
-                        "flash_attention_2"
-                        if self.device.startswith("cuda")
-                        and accelerator_options.cuda_use_flash_attention2
-                        else "eager"
-                    ),
-                )  # .to(self.device)
-
-    @staticmethod
-    def download_models(
-        repo_id: str,
-        local_dir: Optional[Path] = None,
-        force: bool = False,
-        progress: bool = False,
-    ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
-            repo_id=repo_id,
-            force_download=force,
-            local_dir=local_dir,
-            # revision="v0.0.1",
-        )
-
-        return Path(download_path)
-
-    def __call__(
-        self, conv_res: ConversionResult, page_batch: Iterable[Page]
-    ) -> Iterable[Page]:
-        for page in page_batch:
-            assert page._backend is not None
-            if not page._backend.is_valid():
-                yield page
-            else:
-                with TimeRecorder(conv_res, "vlm"):
-                    assert page.size is not None
-
-                    hi_res_image = page.get_image(scale=2.0)  # 144dpi
-                    # hi_res_image = page.get_image(scale=1.0)  # 72dpi
-
-                    if hi_res_image is not None:
-                        im_width, im_height = hi_res_image.size
-
-                    # populate page_tags with predicted doc tags
-                    page_tags = ""
-
-                    if hi_res_image:
-                        if hi_res_image.mode != "RGB":
-                            hi_res_image = hi_res_image.convert("RGB")
-
-                    messages = [
-                        {
-                            "role": "user",
-                            "content": [
-                                {
-                                    "type": "text",
-                                    "text": "This is a page from a document.",
-                                },
-                                {"type": "image"},
-                                {"type": "text", "text": self.param_question},
-                            ],
-                        }
-                    ]
-                    prompt = self.processor.apply_chat_template(
-                        messages, add_generation_prompt=False
-                    )
-                    inputs = self.processor(
-                        text=prompt, images=[hi_res_image], return_tensors="pt"
-                    )
-                    inputs = {k: v.to(self.device) for k, v in inputs.items()}
-
-                    start_time = time.time()
-                    # Call model to generate:
-                    generated_ids = self.vlm_model.generate(
-                        **inputs, max_new_tokens=4096, use_cache=True
-                    )
-
-                    generation_time = time.time() - start_time
-                    generated_texts = self.processor.batch_decode(
-                        generated_ids[:, inputs["input_ids"].shape[1] :],
-                        skip_special_tokens=False,
-                    )[0]
-
-                    num_tokens = len(generated_ids[0])
-                    page_tags = generated_texts
-
-                    _log.debug(
-                        f"Generated {num_tokens} tokens in time {generation_time:.2f} seconds."
-                    )
-
-                    # inference_time = time.time() - start_time
-                    # tokens_per_second = num_tokens / generation_time
-                    # print("")
-                    # print(f"Page Inference Time: {inference_time:.2f} seconds")
-                    # print(f"Total tokens on page: {num_tokens:.2f}")
-                    # print(f"Tokens/sec: {tokens_per_second:.2f}")
-                    # print("")
-                    page.predictions.vlm_response = VlmPrediction(text=page_tags)
-
-                yield page
diff --git a/docling/models/layout_model.py b/docling/models/layout_model.py
index 03a047fa..d8e9c032 100644
--- a/docling/models/layout_model.py
+++ b/docling/models/layout_model.py
@@ -10,11 +10,12 @@ from docling_core.types.doc import DocItemLabel
 from docling_ibm_models.layoutmodel.layout_predictor import LayoutPredictor
 from PIL import Image
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.base_models import BoundingBox, Cluster, LayoutPrediction, Page
 from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import AcceleratorOptions
 from docling.datamodel.settings import settings
 from docling.models.base_model import BasePageModel
+from docling.models.utils.hf_model_download import download_hf_model
 from docling.utils.accelerator_utils import decide_device
 from docling.utils.layout_postprocessor import LayoutPostprocessor
 from docling.utils.profiling import TimeRecorder
@@ -83,20 +84,14 @@ class LayoutModel(BasePageModel):
         force: bool = False,
         progress: bool = False,
     ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
+        return download_hf_model(
             repo_id="ds4sd/docling-models",
-            force_download=force,
+            revision="v2.2.0",
             local_dir=local_dir,
-            revision="v2.1.0",
+            force=force,
+            progress=progress,
         )
 
-        return Path(download_path)
-
     def draw_clusters_and_cells_side_by_side(
         self, conv_res, page, clusters, mode_prefix: str, show: bool = False
     ):
diff --git a/docling/models/ocr_mac_model.py b/docling/models/ocr_mac_model.py
index a8ff55b8..a410a7f6 100644
--- a/docling/models/ocr_mac_model.py
+++ b/docling/models/ocr_mac_model.py
@@ -8,10 +8,10 @@ from typing import Optional, Type
 from docling_core.types.doc import BoundingBox, CoordOrigin
 from docling_core.types.doc.page import BoundingRectangle, TextCell
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
     OcrMacOptions,
     OcrOptions,
 )
diff --git a/docling/models/picture_description_api_model.py b/docling/models/picture_description_api_model.py
index eb331b29..a3c0c2ee 100644
--- a/docling/models/picture_description_api_model.py
+++ b/docling/models/picture_description_api_model.py
@@ -5,8 +5,8 @@ from typing import Optional, Type, Union
 
 from PIL import Image
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
     PictureDescriptionApiOptions,
     PictureDescriptionBaseOptions,
 )
diff --git a/docling/models/picture_description_base_model.py b/docling/models/picture_description_base_model.py
index 2f6e6479..055c74b1 100644
--- a/docling/models/picture_description_base_model.py
+++ b/docling/models/picture_description_base_model.py
@@ -13,8 +13,8 @@ from docling_core.types.doc.document import (  # TODO: move import to docling_co
 )
 from PIL import Image
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
     PictureDescriptionBaseOptions,
 )
 from docling.models.base_model import (
diff --git a/docling/models/picture_description_vlm_model.py b/docling/models/picture_description_vlm_model.py
index 679e80c2..230151d6 100644
--- a/docling/models/picture_description_vlm_model.py
+++ b/docling/models/picture_description_vlm_model.py
@@ -4,16 +4,21 @@ from typing import Optional, Type, Union
 
 from PIL import Image
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
     PictureDescriptionBaseOptions,
     PictureDescriptionVlmOptions,
 )
 from docling.models.picture_description_base_model import PictureDescriptionBaseModel
+from docling.models.utils.hf_model_download import (
+    HuggingFaceModelDownloadMixin,
+)
 from docling.utils.accelerator_utils import decide_device
 
 
-class PictureDescriptionVlmModel(PictureDescriptionBaseModel):
+class PictureDescriptionVlmModel(
+    PictureDescriptionBaseModel, HuggingFaceModelDownloadMixin
+):
     @classmethod
     def get_options_type(cls) -> Type[PictureDescriptionBaseOptions]:
         return PictureDescriptionVlmOptions
@@ -66,26 +71,6 @@ class PictureDescriptionVlmModel(PictureDescriptionBaseModel):
 
             self.provenance = f"{self.options.repo_id}"
 
-    @staticmethod
-    def download_models(
-        repo_id: str,
-        local_dir: Optional[Path] = None,
-        force: bool = False,
-        progress: bool = False,
-    ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
-            repo_id=repo_id,
-            force_download=force,
-            local_dir=local_dir,
-        )
-
-        return Path(download_path)
-
     def _annotate_images(self, images: Iterable[Image.Image]) -> Iterable[str]:
         from transformers import GenerationConfig
 
diff --git a/docling/models/rapid_ocr_model.py b/docling/models/rapid_ocr_model.py
index 2c7f4357..b01c5acf 100644
--- a/docling/models/rapid_ocr_model.py
+++ b/docling/models/rapid_ocr_model.py
@@ -7,11 +7,10 @@ import numpy
 from docling_core.types.doc import BoundingBox, CoordOrigin
 from docling_core.types.doc.page import BoundingRectangle, TextCell
 
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     OcrOptions,
     RapidOcrOptions,
 )
diff --git a/docling/models/table_structure_model.py b/docling/models/table_structure_model.py
index a7679eab..b90e85d5 100644
--- a/docling/models/table_structure_model.py
+++ b/docling/models/table_structure_model.py
@@ -13,16 +13,16 @@ from docling_core.types.doc.page import (
 from docling_ibm_models.tableformer.data_management.tf_predictor import TFPredictor
 from PIL import ImageDraw
 
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import Page, Table, TableStructurePrediction
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     TableFormerMode,
     TableStructureOptions,
 )
 from docling.datamodel.settings import settings
 from docling.models.base_model import BasePageModel
+from docling.models.utils.hf_model_download import download_hf_model
 from docling.utils.accelerator_utils import decide_device
 from docling.utils.profiling import TimeRecorder
 
@@ -90,20 +90,14 @@ class TableStructureModel(BasePageModel):
     def download_models(
         local_dir: Optional[Path] = None, force: bool = False, progress: bool = False
     ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
+        return download_hf_model(
             repo_id="ds4sd/docling-models",
-            force_download=force,
-            local_dir=local_dir,
             revision="v2.2.0",
+            local_dir=local_dir,
+            force=force,
+            progress=progress,
         )
 
-        return Path(download_path)
-
     def draw_table_and_cells(
         self,
         conv_res: ConversionResult,
diff --git a/docling/models/tesseract_ocr_cli_model.py b/docling/models/tesseract_ocr_cli_model.py
index 8bca5479..e6901045 100644
--- a/docling/models/tesseract_ocr_cli_model.py
+++ b/docling/models/tesseract_ocr_cli_model.py
@@ -13,10 +13,10 @@ import pandas as pd
 from docling_core.types.doc import BoundingBox, CoordOrigin
 from docling_core.types.doc.page import TextCell
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
     OcrOptions,
     TesseractCliOcrOptions,
 )
diff --git a/docling/models/tesseract_ocr_model.py b/docling/models/tesseract_ocr_model.py
index 108485d7..18ec34dc 100644
--- a/docling/models/tesseract_ocr_model.py
+++ b/docling/models/tesseract_ocr_model.py
@@ -7,10 +7,10 @@ from typing import Iterable, Optional, Type
 from docling_core.types.doc import BoundingBox, CoordOrigin
 from docling_core.types.doc.page import TextCell
 
+from docling.datamodel.accelerator_options import AcceleratorOptions
 from docling.datamodel.base_models import Page
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorOptions,
     OcrOptions,
     TesseractOcrOptions,
 )
diff --git a/docling/models/utils/__init__.py b/docling/models/utils/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/docling/models/utils/hf_model_download.py b/docling/models/utils/hf_model_download.py
new file mode 100644
index 00000000..3595166a
--- /dev/null
+++ b/docling/models/utils/hf_model_download.py
@@ -0,0 +1,40 @@
+import logging
+from pathlib import Path
+from typing import Optional
+
+_log = logging.getLogger(__name__)
+
+
+def download_hf_model(
+    repo_id: str,
+    local_dir: Optional[Path] = None,
+    force: bool = False,
+    progress: bool = False,
+    revision: Optional[str] = None,
+) -> Path:
+    from huggingface_hub import snapshot_download
+    from huggingface_hub.utils import disable_progress_bars
+
+    if not progress:
+        disable_progress_bars()
+    download_path = snapshot_download(
+        repo_id=repo_id,
+        force_download=force,
+        local_dir=local_dir,
+        revision=revision,
+    )
+
+    return Path(download_path)
+
+
+class HuggingFaceModelDownloadMixin:
+    @staticmethod
+    def download_models(
+        repo_id: str,
+        local_dir: Optional[Path] = None,
+        force: bool = False,
+        progress: bool = False,
+    ) -> Path:
+        return download_hf_model(
+            repo_id=repo_id, local_dir=local_dir, force=force, progress=progress
+        )
diff --git a/docling/models/vlm_models_inline/__init__.py b/docling/models/vlm_models_inline/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/docling/models/vlm_models_inline/hf_transformers_model.py b/docling/models/vlm_models_inline/hf_transformers_model.py
new file mode 100644
index 00000000..de7f289d
--- /dev/null
+++ b/docling/models/vlm_models_inline/hf_transformers_model.py
@@ -0,0 +1,194 @@
+import importlib.metadata
+import logging
+import time
+from collections.abc import Iterable
+from pathlib import Path
+from typing import Any, Optional
+
+from docling.datamodel.accelerator_options import (
+    AcceleratorOptions,
+)
+from docling.datamodel.base_models import Page, VlmPrediction
+from docling.datamodel.document import ConversionResult
+from docling.datamodel.pipeline_options_vlm_model import (
+    InlineVlmOptions,
+    TransformersModelType,
+)
+from docling.models.base_model import BasePageModel
+from docling.models.utils.hf_model_download import (
+    HuggingFaceModelDownloadMixin,
+)
+from docling.utils.accelerator_utils import decide_device
+from docling.utils.profiling import TimeRecorder
+
+_log = logging.getLogger(__name__)
+
+
+class HuggingFaceTransformersVlmModel(BasePageModel, HuggingFaceModelDownloadMixin):
+    def __init__(
+        self,
+        enabled: bool,
+        artifacts_path: Optional[Path],
+        accelerator_options: AcceleratorOptions,
+        vlm_options: InlineVlmOptions,
+    ):
+        self.enabled = enabled
+
+        self.vlm_options = vlm_options
+
+        if self.enabled:
+            import torch
+            from transformers import (
+                AutoModel,
+                AutoModelForCausalLM,
+                AutoModelForVision2Seq,
+                AutoProcessor,
+                BitsAndBytesConfig,
+                GenerationConfig,
+            )
+
+            transformers_version = importlib.metadata.version("transformers")
+            if (
+                self.vlm_options.repo_id == "microsoft/Phi-4-multimodal-instruct"
+                and transformers_version >= "4.52.0"
+            ):
+                raise NotImplementedError(
+                    f"Phi 4 only works with transformers<4.52.0 but you have {transformers_version=}. Please downgrage running pip install -U 'transformers<4.52.0'."
+                )
+
+            self.device = decide_device(
+                accelerator_options.device,
+                supported_devices=vlm_options.supported_devices,
+            )
+            _log.debug(f"Available device for VLM: {self.device}")
+
+            self.use_cache = vlm_options.use_kv_cache
+            self.max_new_tokens = vlm_options.max_new_tokens
+            self.temperature = vlm_options.temperature
+
+            repo_cache_folder = vlm_options.repo_id.replace("/", "--")
+
+            if artifacts_path is None:
+                artifacts_path = self.download_models(self.vlm_options.repo_id)
+            elif (artifacts_path / repo_cache_folder).exists():
+                artifacts_path = artifacts_path / repo_cache_folder
+
+            self.param_quantization_config: Optional[BitsAndBytesConfig] = None
+            if vlm_options.quantized:
+                self.param_quantization_config = BitsAndBytesConfig(
+                    load_in_8bit=vlm_options.load_in_8bit,
+                    llm_int8_threshold=vlm_options.llm_int8_threshold,
+                )
+
+            model_cls: Any = AutoModel
+            if (
+                self.vlm_options.transformers_model_type
+                == TransformersModelType.AUTOMODEL_CAUSALLM
+            ):
+                model_cls = AutoModelForCausalLM
+            elif (
+                self.vlm_options.transformers_model_type
+                == TransformersModelType.AUTOMODEL_VISION2SEQ
+            ):
+                model_cls = AutoModelForVision2Seq
+
+            self.processor = AutoProcessor.from_pretrained(
+                artifacts_path,
+                trust_remote_code=vlm_options.trust_remote_code,
+            )
+            self.vlm_model = model_cls.from_pretrained(
+                artifacts_path,
+                device_map=self.device,
+                _attn_implementation=(
+                    "flash_attention_2"
+                    if self.device.startswith("cuda")
+                    and accelerator_options.cuda_use_flash_attention2
+                    else "eager"
+                ),
+                trust_remote_code=vlm_options.trust_remote_code,
+            )
+
+            # Load generation config
+            self.generation_config = GenerationConfig.from_pretrained(artifacts_path)
+
+    def __call__(
+        self, conv_res: ConversionResult, page_batch: Iterable[Page]
+    ) -> Iterable[Page]:
+        for page in page_batch:
+            assert page._backend is not None
+            if not page._backend.is_valid():
+                yield page
+            else:
+                with TimeRecorder(conv_res, "vlm"):
+                    assert page.size is not None
+
+                    hi_res_image = page.get_image(scale=self.vlm_options.scale)
+
+                    # Define prompt structure
+                    prompt = self.formulate_prompt()
+
+                    inputs = self.processor(
+                        text=prompt, images=[hi_res_image], return_tensors="pt"
+                    ).to(self.device)
+
+                    start_time = time.time()
+                    # Call model to generate:
+                    generated_ids = self.vlm_model.generate(
+                        **inputs,
+                        max_new_tokens=self.max_new_tokens,
+                        use_cache=self.use_cache,
+                        temperature=self.temperature,
+                        generation_config=self.generation_config,
+                        **self.vlm_options.extra_generation_config,
+                    )
+
+                    generation_time = time.time() - start_time
+                    generated_texts = self.processor.batch_decode(
+                        generated_ids[:, inputs["input_ids"].shape[1] :],
+                        skip_special_tokens=False,
+                    )[0]
+
+                    num_tokens = len(generated_ids[0])
+                    _log.debug(
+                        f"Generated {num_tokens} tokens in time {generation_time:.2f} seconds."
+                    )
+                    page.predictions.vlm_response = VlmPrediction(
+                        text=generated_texts,
+                        generation_time=generation_time,
+                    )
+
+                yield page
+
+    def formulate_prompt(self) -> str:
+        """Formulate a prompt for the VLM."""
+
+        if self.vlm_options.repo_id == "microsoft/Phi-4-multimodal-instruct":
+            _log.debug("Using specialized prompt for Phi-4")
+            # more info here: https://huggingface.co/microsoft/Phi-4-multimodal-instruct#loading-the-model-locally
+
+            user_prompt = "<|user|>"
+            assistant_prompt = "<|assistant|>"
+            prompt_suffix = "<|end|>"
+
+            prompt = f"{user_prompt}<|image_1|>{self.vlm_options.prompt}{prompt_suffix}{assistant_prompt}"
+            _log.debug(f"prompt for {self.vlm_options.repo_id}: {prompt}")
+
+            return prompt
+
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "This is a page from a document.",
+                    },
+                    {"type": "image"},
+                    {"type": "text", "text": self.vlm_options.prompt},
+                ],
+            }
+        ]
+        prompt = self.processor.apply_chat_template(
+            messages, add_generation_prompt=False
+        )
+        return prompt
diff --git a/docling/models/hf_mlx_model.py b/docling/models/vlm_models_inline/mlx_model.py
similarity index 55%
rename from docling/models/hf_mlx_model.py
rename to docling/models/vlm_models_inline/mlx_model.py
index 63f8fc95..d8b90407 100644
--- a/docling/models/hf_mlx_model.py
+++ b/docling/models/vlm_models_inline/mlx_model.py
@@ -4,29 +4,34 @@ from collections.abc import Iterable
 from pathlib import Path
 from typing import Optional
 
-from docling.datamodel.base_models import Page, VlmPrediction
-from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import (
+from docling.datamodel.accelerator_options import (
     AcceleratorOptions,
-    HuggingFaceVlmOptions,
 )
+from docling.datamodel.base_models import Page, VlmPrediction, VlmPredictionToken
+from docling.datamodel.document import ConversionResult
+from docling.datamodel.pipeline_options_vlm_model import InlineVlmOptions
 from docling.models.base_model import BasePageModel
+from docling.models.utils.hf_model_download import (
+    HuggingFaceModelDownloadMixin,
+)
 from docling.utils.profiling import TimeRecorder
 
 _log = logging.getLogger(__name__)
 
 
-class HuggingFaceMlxModel(BasePageModel):
+class HuggingFaceMlxModel(BasePageModel, HuggingFaceModelDownloadMixin):
     def __init__(
         self,
         enabled: bool,
         artifacts_path: Optional[Path],
         accelerator_options: AcceleratorOptions,
-        vlm_options: HuggingFaceVlmOptions,
+        vlm_options: InlineVlmOptions,
     ):
         self.enabled = enabled
 
         self.vlm_options = vlm_options
+        self.max_tokens = vlm_options.max_new_tokens
+        self.temperature = vlm_options.temperature
 
         if self.enabled:
             try:
@@ -39,42 +44,24 @@ class HuggingFaceMlxModel(BasePageModel):
                 )
 
             repo_cache_folder = vlm_options.repo_id.replace("/", "--")
+
             self.apply_chat_template = apply_chat_template
             self.stream_generate = stream_generate
 
             # PARAMETERS:
             if artifacts_path is None:
-                artifacts_path = self.download_models(self.vlm_options.repo_id)
+                artifacts_path = self.download_models(
+                    self.vlm_options.repo_id,
+                )
             elif (artifacts_path / repo_cache_folder).exists():
                 artifacts_path = artifacts_path / repo_cache_folder
 
-            self.param_question = vlm_options.prompt  # "Perform Layout Analysis."
+            self.param_question = vlm_options.prompt
 
             ## Load the model
             self.vlm_model, self.processor = load(artifacts_path)
             self.config = load_config(artifacts_path)
 
-    @staticmethod
-    def download_models(
-        repo_id: str,
-        local_dir: Optional[Path] = None,
-        force: bool = False,
-        progress: bool = False,
-    ) -> Path:
-        from huggingface_hub import snapshot_download
-        from huggingface_hub.utils import disable_progress_bars
-
-        if not progress:
-            disable_progress_bars()
-        download_path = snapshot_download(
-            repo_id=repo_id,
-            force_download=force,
-            local_dir=local_dir,
-            # revision="v0.0.1",
-        )
-
-        return Path(download_path)
-
     def __call__(
         self, conv_res: ConversionResult, page_batch: Iterable[Page]
     ) -> Iterable[Page]:
@@ -83,12 +70,10 @@ class HuggingFaceMlxModel(BasePageModel):
             if not page._backend.is_valid():
                 yield page
             else:
-                with TimeRecorder(conv_res, "vlm"):
+                with TimeRecorder(conv_res, f"vlm-mlx-{self.vlm_options.repo_id}"):
                     assert page.size is not None
 
-                    hi_res_image = page.get_image(scale=2.0)  # 144dpi
-                    # hi_res_image = page.get_image(scale=1.0)  # 72dpi
-
+                    hi_res_image = page.get_image(scale=self.vlm_options.scale)
                     if hi_res_image is not None:
                         im_width, im_height = hi_res_image.size
 
@@ -104,16 +89,45 @@ class HuggingFaceMlxModel(BasePageModel):
                     )
 
                     start_time = time.time()
+                    _log.debug("start generating ...")
+
                     # Call model to generate:
+                    tokens: list[VlmPredictionToken] = []
+
                     output = ""
                     for token in self.stream_generate(
                         self.vlm_model,
                         self.processor,
                         prompt,
                         [hi_res_image],
-                        max_tokens=4096,
+                        max_tokens=self.max_tokens,
                         verbose=False,
+                        temp=self.temperature,
                     ):
+                        if len(token.logprobs.shape) == 1:
+                            tokens.append(
+                                VlmPredictionToken(
+                                    text=token.text,
+                                    token=token.token,
+                                    logprob=token.logprobs[token.token],
+                                )
+                            )
+                        elif (
+                            len(token.logprobs.shape) == 2
+                            and token.logprobs.shape[0] == 1
+                        ):
+                            tokens.append(
+                                VlmPredictionToken(
+                                    text=token.text,
+                                    token=token.token,
+                                    logprob=token.logprobs[0, token.token],
+                                )
+                            )
+                        else:
+                            _log.warning(
+                                f"incompatible shape for logprobs: {token.logprobs.shape}"
+                            )
+
                         output += token.text
                         if "</doctag>" in token.text:
                             break
@@ -121,15 +135,13 @@ class HuggingFaceMlxModel(BasePageModel):
                     generation_time = time.time() - start_time
                     page_tags = output
 
-                    _log.debug(f"Generation time {generation_time:.2f} seconds.")
-
-                    # inference_time = time.time() - start_time
-                    # tokens_per_second = num_tokens / generation_time
-                    # print("")
-                    # print(f"Page Inference Time: {inference_time:.2f} seconds")
-                    # print(f"Total tokens on page: {num_tokens:.2f}")
-                    # print(f"Tokens/sec: {tokens_per_second:.2f}")
-                    # print("")
-                    page.predictions.vlm_response = VlmPrediction(text=page_tags)
+                    _log.debug(
+                        f"{generation_time:.2f} seconds for {len(tokens)} tokens ({len(tokens) / generation_time} tokens/sec)."
+                    )
+                    page.predictions.vlm_response = VlmPrediction(
+                        text=page_tags,
+                        generation_time=generation_time,
+                        generated_tokens=tokens,
+                    )
 
                 yield page
diff --git a/docling/pipeline/vlm_pipeline.py b/docling/pipeline/vlm_pipeline.py
index 70a46920..2ecfe55a 100644
--- a/docling/pipeline/vlm_pipeline.py
+++ b/docling/pipeline/vlm_pipeline.py
@@ -1,29 +1,46 @@
 import logging
+import re
 from io import BytesIO
 from pathlib import Path
 from typing import List, Optional, Union, cast
 
-from docling_core.types import DoclingDocument
-from docling_core.types.doc import BoundingBox, DocItem, ImageRef, PictureItem, TextItem
+from docling_core.types.doc import (
+    BoundingBox,
+    DocItem,
+    DoclingDocument,
+    ImageRef,
+    PictureItem,
+    ProvenanceItem,
+    TextItem,
+)
+from docling_core.types.doc.base import (
+    BoundingBox,
+    Size,
+)
 from docling_core.types.doc.document import DocTagsDocument
 from PIL import Image as PILImage
 
 from docling.backend.abstract_backend import AbstractDocumentBackend
+from docling.backend.html_backend import HTMLDocumentBackend
 from docling.backend.md_backend import MarkdownDocumentBackend
 from docling.backend.pdf_backend import PdfDocumentBackend
 from docling.datamodel.base_models import InputFormat, Page
 from docling.datamodel.document import ConversionResult, InputDocument
 from docling.datamodel.pipeline_options import (
-    ApiVlmOptions,
-    HuggingFaceVlmOptions,
-    InferenceFramework,
-    ResponseFormat,
     VlmPipelineOptions,
 )
+from docling.datamodel.pipeline_options_vlm_model import (
+    ApiVlmOptions,
+    InferenceFramework,
+    InlineVlmOptions,
+    ResponseFormat,
+)
 from docling.datamodel.settings import settings
 from docling.models.api_vlm_model import ApiVlmModel
-from docling.models.hf_mlx_model import HuggingFaceMlxModel
-from docling.models.hf_vlm_model import HuggingFaceVlmModel
+from docling.models.vlm_models_inline.hf_transformers_model import (
+    HuggingFaceTransformersVlmModel,
+)
+from docling.models.vlm_models_inline.mlx_model import HuggingFaceMlxModel
 from docling.pipeline.base_pipeline import PaginatedPipeline
 from docling.utils.profiling import ProfilingScope, TimeRecorder
 
@@ -66,8 +83,8 @@ class VlmPipeline(PaginatedPipeline):
                     vlm_options=cast(ApiVlmOptions, self.pipeline_options.vlm_options),
                 ),
             ]
-        elif isinstance(self.pipeline_options.vlm_options, HuggingFaceVlmOptions):
-            vlm_options = cast(HuggingFaceVlmOptions, self.pipeline_options.vlm_options)
+        elif isinstance(self.pipeline_options.vlm_options, InlineVlmOptions):
+            vlm_options = cast(InlineVlmOptions, self.pipeline_options.vlm_options)
             if vlm_options.inference_framework == InferenceFramework.MLX:
                 self.build_pipe = [
                     HuggingFaceMlxModel(
@@ -77,15 +94,19 @@ class VlmPipeline(PaginatedPipeline):
                         vlm_options=vlm_options,
                     ),
                 ]
-            else:
+            elif vlm_options.inference_framework == InferenceFramework.TRANSFORMERS:
                 self.build_pipe = [
-                    HuggingFaceVlmModel(
+                    HuggingFaceTransformersVlmModel(
                         enabled=True,  # must be always enabled for this pipeline to make sense.
                         artifacts_path=artifacts_path,
                         accelerator_options=pipeline_options.accelerator_options,
                         vlm_options=vlm_options,
                     ),
                 ]
+            else:
+                raise ValueError(
+                    f"Could not instantiate the right type of VLM pipeline: {vlm_options.inference_framework}"
+                )
 
         self.enrichment_pipe = [
             # Other models working on `NodeItem` elements in the DoclingDocument
@@ -116,49 +137,19 @@ class VlmPipeline(PaginatedPipeline):
                 self.pipeline_options.vlm_options.response_format
                 == ResponseFormat.DOCTAGS
             ):
-                doctags_list = []
-                image_list = []
-                for page in conv_res.pages:
-                    predicted_doctags = ""
-                    img = PILImage.new("RGB", (1, 1), "rgb(255,255,255)")
-                    if page.predictions.vlm_response:
-                        predicted_doctags = page.predictions.vlm_response.text
-                    if page.image:
-                        img = page.image
-                    image_list.append(img)
-                    doctags_list.append(predicted_doctags)
+                conv_res.document = self._turn_dt_into_doc(conv_res)
 
-                doctags_list_c = cast(List[Union[Path, str]], doctags_list)
-                image_list_c = cast(List[Union[Path, PILImage.Image]], image_list)
-                doctags_doc = DocTagsDocument.from_doctags_and_image_pairs(
-                    doctags_list_c, image_list_c
-                )
-                conv_res.document = DoclingDocument.load_from_doctags(doctags_doc)
-
-                # If forced backend text, replace model predicted text with backend one
-                if self.force_backend_text:
-                    scale = self.pipeline_options.images_scale
-                    for element, _level in conv_res.document.iterate_items():
-                        if not isinstance(element, TextItem) or len(element.prov) == 0:
-                            continue
-                        page_ix = element.prov[0].page_no - 1
-                        page = conv_res.pages[page_ix]
-                        if not page.size:
-                            continue
-                        crop_bbox = (
-                            element.prov[0]
-                            .bbox.scaled(scale=scale)
-                            .to_top_left_origin(page_height=page.size.height * scale)
-                        )
-                        txt = self.extract_text_from_backend(page, crop_bbox)
-                        element.text = txt
-                        element.orig = txt
             elif (
                 self.pipeline_options.vlm_options.response_format
                 == ResponseFormat.MARKDOWN
             ):
                 conv_res.document = self._turn_md_into_doc(conv_res)
 
+            elif (
+                self.pipeline_options.vlm_options.response_format == ResponseFormat.HTML
+            ):
+                conv_res.document = self._turn_html_into_doc(conv_res)
+
             else:
                 raise RuntimeError(
                     f"Unsupported VLM response format {self.pipeline_options.vlm_options.response_format}"
@@ -192,23 +183,199 @@ class VlmPipeline(PaginatedPipeline):
 
         return conv_res
 
-    def _turn_md_into_doc(self, conv_res):
-        predicted_text = ""
-        for pg_idx, page in enumerate(conv_res.pages):
+    def _turn_dt_into_doc(self, conv_res) -> DoclingDocument:
+        doctags_list = []
+        image_list = []
+        for page in conv_res.pages:
+            predicted_doctags = ""
+            img = PILImage.new("RGB", (1, 1), "rgb(255,255,255)")
             if page.predictions.vlm_response:
-                predicted_text += page.predictions.vlm_response.text + "\n\n"
-        response_bytes = BytesIO(predicted_text.encode("utf8"))
-        out_doc = InputDocument(
-            path_or_stream=response_bytes,
-            filename=conv_res.input.file.name,
-            format=InputFormat.MD,
-            backend=MarkdownDocumentBackend,
+                predicted_doctags = page.predictions.vlm_response.text
+            if page.image:
+                img = page.image
+            image_list.append(img)
+            doctags_list.append(predicted_doctags)
+
+        doctags_list_c = cast(List[Union[Path, str]], doctags_list)
+        image_list_c = cast(List[Union[Path, PILImage.Image]], image_list)
+        doctags_doc = DocTagsDocument.from_doctags_and_image_pairs(
+            doctags_list_c, image_list_c
         )
-        backend = MarkdownDocumentBackend(
-            in_doc=out_doc,
-            path_or_stream=response_bytes,
+        conv_res.document = DoclingDocument.load_from_doctags(
+            doctag_document=doctags_doc
         )
-        return backend.convert()
+
+        # If forced backend text, replace model predicted text with backend one
+        if page.size:
+            if self.force_backend_text:
+                scale = self.pipeline_options.images_scale
+                for element, _level in conv_res.document.iterate_items():
+                    if not isinstance(element, TextItem) or len(element.prov) == 0:
+                        continue
+                    crop_bbox = (
+                        element.prov[0]
+                        .bbox.scaled(scale=scale)
+                        .to_top_left_origin(page_height=page.size.height * scale)
+                    )
+                    txt = self.extract_text_from_backend(page, crop_bbox)
+                    element.text = txt
+                    element.orig = txt
+
+        return conv_res.document
+
+    def _turn_md_into_doc(self, conv_res):
+        def _extract_markdown_code(text):
+            """
+            Extracts text from markdown code blocks (enclosed in triple backticks).
+            If no code blocks are found, returns the original text.
+
+            Args:
+                text (str): Input text that may contain markdown code blocks
+
+            Returns:
+                str: Extracted code if code blocks exist, otherwise original text
+            """
+            # Regex pattern to match content between triple backticks
+            # This handles multiline content and optional language specifier
+            pattern = r"^```(?:\w*\n)?(.*?)```(\n)*$"
+
+            # Search with DOTALL flag to match across multiple lines
+            mtch = re.search(pattern, text, re.DOTALL)
+
+            if mtch:
+                # Return only the content of the first capturing group
+                return mtch.group(1)
+            else:
+                # No code blocks found, return original text
+                return text
+
+        for pg_idx, page in enumerate(conv_res.pages):
+            page_no = pg_idx + 1  # FIXME: might be incorrect
+
+            predicted_text = ""
+            if page.predictions.vlm_response:
+                predicted_text = page.predictions.vlm_response.text + "\n\n"
+
+            predicted_text = _extract_markdown_code(text=predicted_text)
+
+            response_bytes = BytesIO(predicted_text.encode("utf8"))
+            out_doc = InputDocument(
+                path_or_stream=response_bytes,
+                filename=conv_res.input.file.name,
+                format=InputFormat.MD,
+                backend=MarkdownDocumentBackend,
+            )
+            backend = MarkdownDocumentBackend(
+                in_doc=out_doc,
+                path_or_stream=response_bytes,
+            )
+            page_doc = backend.convert()
+
+            if page.image is not None:
+                pg_width = page.image.width
+                pg_height = page.image.height
+            else:
+                pg_width = 1
+                pg_height = 1
+
+            conv_res.document.add_page(
+                page_no=page_no,
+                size=Size(width=pg_width, height=pg_height),
+                image=ImageRef.from_pil(image=page.image, dpi=72)
+                if page.image
+                else None,
+            )
+
+            for item, level in page_doc.iterate_items():
+                item.prov = [
+                    ProvenanceItem(
+                        page_no=pg_idx + 1,
+                        bbox=BoundingBox(
+                            t=0.0, b=0.0, l=0.0, r=0.0
+                        ),  # FIXME: would be nice not to have to "fake" it
+                        charspan=[0, 0],
+                    )
+                ]
+                conv_res.document.append_child_item(child=item)
+
+        return conv_res.document
+
+    def _turn_html_into_doc(self, conv_res):
+        def _extract_html_code(text):
+            """
+            Extracts text from markdown code blocks (enclosed in triple backticks).
+            If no code blocks are found, returns the original text.
+
+            Args:
+                text (str): Input text that may contain markdown code blocks
+
+            Returns:
+                str: Extracted code if code blocks exist, otherwise original text
+            """
+            # Regex pattern to match content between triple backticks
+            # This handles multiline content and optional language specifier
+            pattern = r"^```(?:\w*\n)?(.*?)```(\n)*$"
+
+            # Search with DOTALL flag to match across multiple lines
+            mtch = re.search(pattern, text, re.DOTALL)
+
+            if mtch:
+                # Return only the content of the first capturing group
+                return mtch.group(1)
+            else:
+                # No code blocks found, return original text
+                return text
+
+        for pg_idx, page in enumerate(conv_res.pages):
+            page_no = pg_idx + 1  # FIXME: might be incorrect
+
+            predicted_text = ""
+            if page.predictions.vlm_response:
+                predicted_text = page.predictions.vlm_response.text + "\n\n"
+
+            predicted_text = _extract_html_code(text=predicted_text)
+
+            response_bytes = BytesIO(predicted_text.encode("utf8"))
+            out_doc = InputDocument(
+                path_or_stream=response_bytes,
+                filename=conv_res.input.file.name,
+                format=InputFormat.MD,
+                backend=HTMLDocumentBackend,
+            )
+            backend = HTMLDocumentBackend(
+                in_doc=out_doc,
+                path_or_stream=response_bytes,
+            )
+            page_doc = backend.convert()
+
+            if page.image is not None:
+                pg_width = page.image.width
+                pg_height = page.image.height
+            else:
+                pg_width = 1
+                pg_height = 1
+
+            conv_res.document.add_page(
+                page_no=page_no,
+                size=Size(width=pg_width, height=pg_height),
+                image=ImageRef.from_pil(image=page.image, dpi=72)
+                if page.image
+                else None,
+            )
+
+            for item, level in page_doc.iterate_items():
+                item.prov = [
+                    ProvenanceItem(
+                        page_no=pg_idx + 1,
+                        bbox=BoundingBox(
+                            t=0.0, b=0.0, l=0.0, r=0.0
+                        ),  # FIXME: would be nice not to have to "fake" it
+                        charspan=[0, 0],
+                    )
+                ]
+                conv_res.document.append_child_item(child=item)
+
+        return conv_res.document
 
     @classmethod
     def get_default_options(cls) -> VlmPipelineOptions:
diff --git a/docling/utils/accelerator_utils.py b/docling/utils/accelerator_utils.py
index 8c930250..09b6651e 100644
--- a/docling/utils/accelerator_utils.py
+++ b/docling/utils/accelerator_utils.py
@@ -1,13 +1,16 @@
 import logging
+from typing import List, Optional
 
 import torch
 
-from docling.datamodel.pipeline_options import AcceleratorDevice
+from docling.datamodel.accelerator_options import AcceleratorDevice
 
 _log = logging.getLogger(__name__)
 
 
-def decide_device(accelerator_device: str) -> str:
+def decide_device(
+    accelerator_device: str, supported_devices: Optional[List[AcceleratorDevice]] = None
+) -> str:
     r"""
     Resolve the device based on the acceleration options and the available devices in the system.
 
@@ -20,6 +23,18 @@ def decide_device(accelerator_device: str) -> str:
     has_cuda = torch.backends.cuda.is_built() and torch.cuda.is_available()
     has_mps = torch.backends.mps.is_built() and torch.backends.mps.is_available()
 
+    if supported_devices is not None:
+        if has_cuda and AcceleratorDevice.CUDA not in supported_devices:
+            _log.info(
+                f"Removing CUDA from available devices because it is not in {supported_devices=}"
+            )
+            has_cuda = False
+        if has_mps and AcceleratorDevice.MPS not in supported_devices:
+            _log.info(
+                f"Removing MPS from available devices because it is not in {supported_devices=}"
+            )
+            has_mps = False
+
     if accelerator_device == AcceleratorDevice.AUTO.value:  # Handle 'auto'
         if has_cuda:
             device = "cuda:0"
diff --git a/docling/utils/model_downloader.py b/docling/utils/model_downloader.py
index eb20f255..55383c03 100644
--- a/docling/utils/model_downloader.py
+++ b/docling/utils/model_downloader.py
@@ -4,18 +4,20 @@ from typing import Optional
 
 from docling.datamodel.pipeline_options import (
     granite_picture_description,
-    smoldocling_vlm_conversion_options,
-    smoldocling_vlm_mlx_conversion_options,
     smolvlm_picture_description,
 )
 from docling.datamodel.settings import settings
+from docling.datamodel.vlm_model_specs import (
+    SMOLDOCLING_MLX,
+    SMOLDOCLING_TRANSFORMERS,
+)
 from docling.models.code_formula_model import CodeFormulaModel
 from docling.models.document_picture_classifier import DocumentPictureClassifier
 from docling.models.easyocr_model import EasyOcrModel
-from docling.models.hf_vlm_model import HuggingFaceVlmModel
 from docling.models.layout_model import LayoutModel
 from docling.models.picture_description_vlm_model import PictureDescriptionVlmModel
 from docling.models.table_structure_model import TableStructureModel
+from docling.models.utils.hf_model_download import download_hf_model
 
 _log = logging.getLogger(__name__)
 
@@ -75,7 +77,7 @@ def download_models(
 
     if with_smolvlm:
         _log.info("Downloading SmolVlm model...")
-        PictureDescriptionVlmModel.download_models(
+        download_hf_model(
             repo_id=smolvlm_picture_description.repo_id,
             local_dir=output_dir / smolvlm_picture_description.repo_cache_folder,
             force=force,
@@ -84,26 +86,25 @@ def download_models(
 
     if with_smoldocling:
         _log.info("Downloading SmolDocling model...")
-        HuggingFaceVlmModel.download_models(
-            repo_id=smoldocling_vlm_conversion_options.repo_id,
-            local_dir=output_dir / smoldocling_vlm_conversion_options.repo_cache_folder,
+        download_hf_model(
+            repo_id=SMOLDOCLING_TRANSFORMERS.repo_id,
+            local_dir=output_dir / SMOLDOCLING_TRANSFORMERS.repo_cache_folder,
             force=force,
             progress=progress,
         )
 
     if with_smoldocling_mlx:
         _log.info("Downloading SmolDocling MLX model...")
-        HuggingFaceVlmModel.download_models(
-            repo_id=smoldocling_vlm_mlx_conversion_options.repo_id,
-            local_dir=output_dir
-            / smoldocling_vlm_mlx_conversion_options.repo_cache_folder,
+        download_hf_model(
+            repo_id=SMOLDOCLING_MLX.repo_id,
+            local_dir=output_dir / SMOLDOCLING_MLX.repo_cache_folder,
             force=force,
             progress=progress,
         )
 
     if with_granite_vision:
         _log.info("Downloading Granite Vision model...")
-        PictureDescriptionVlmModel.download_models(
+        download_hf_model(
             repo_id=granite_picture_description.repo_id,
             local_dir=output_dir / granite_picture_description.repo_cache_folder,
             force=force,
diff --git a/docs/examples/compare_vlm_models.py b/docs/examples/compare_vlm_models.py
new file mode 100644
index 00000000..f9bd2dcd
--- /dev/null
+++ b/docs/examples/compare_vlm_models.py
@@ -0,0 +1,160 @@
+# Compare VLM models
+# ==================
+#
+# This example runs the VLM pipeline with different vision-language models.
+# Their runtime as well output quality is compared.
+
+import json
+import sys
+import time
+from pathlib import Path
+
+from docling_core.types.doc import DocItemLabel, ImageRefMode
+from docling_core.types.doc.document import DEFAULT_EXPORT_LABELS
+from tabulate import tabulate
+
+from docling.datamodel import vlm_model_specs
+from docling.datamodel.base_models import InputFormat
+from docling.datamodel.pipeline_options import (
+    VlmPipelineOptions,
+)
+from docling.datamodel.pipeline_options_vlm_model import InferenceFramework
+from docling.document_converter import DocumentConverter, PdfFormatOption
+from docling.pipeline.vlm_pipeline import VlmPipeline
+
+
+def convert(sources: list[Path], converter: DocumentConverter):
+    model_id = pipeline_options.vlm_options.repo_id.replace("/", "_")
+    framework = pipeline_options.vlm_options.inference_framework
+    for source in sources:
+        print("================================================")
+        print("Processing...")
+        print(f"Source: {source}")
+        print("---")
+        print(f"Model: {model_id}")
+        print(f"Framework: {framework}")
+        print("================================================")
+        print("")
+
+        res = converter.convert(source)
+
+        print("")
+
+        fname = f"{res.input.file.stem}-{model_id}-{framework}"
+
+        inference_time = 0.0
+        for i, page in enumerate(res.pages):
+            inference_time += page.predictions.vlm_response.generation_time
+            print("")
+            print(
+                f" ---------- Predicted page {i} in {pipeline_options.vlm_options.response_format} in {page.predictions.vlm_response.generation_time} [sec]:"
+            )
+            print(page.predictions.vlm_response.text)
+            print(" ---------- ")
+
+        print("===== Final output of the converted document =======")
+
+        with (out_path / f"{fname}.json").open("w") as fp:
+            fp.write(json.dumps(res.document.export_to_dict()))
+
+        res.document.save_as_json(
+            out_path / f"{fname}.json",
+            image_mode=ImageRefMode.PLACEHOLDER,
+        )
+        print(f" => produced {out_path / fname}.json")
+
+        res.document.save_as_markdown(
+            out_path / f"{fname}.md",
+            image_mode=ImageRefMode.PLACEHOLDER,
+        )
+        print(f" => produced {out_path / fname}.md")
+
+        res.document.save_as_html(
+            out_path / f"{fname}.html",
+            image_mode=ImageRefMode.EMBEDDED,
+            labels=[*DEFAULT_EXPORT_LABELS, DocItemLabel.FOOTNOTE],
+            split_page_view=True,
+        )
+        print(f" => produced {out_path / fname}.html")
+
+        pg_num = res.document.num_pages()
+        print("")
+        print(
+            f"Total document prediction time: {inference_time:.2f} seconds, pages: {pg_num}"
+        )
+        print("====================================================")
+
+        return [
+            source,
+            model_id,
+            str(framework),
+            pg_num,
+            inference_time,
+        ]
+
+
+if __name__ == "__main__":
+    sources = [
+        "tests/data/pdf/2305.03393v1-pg9.pdf",
+    ]
+
+    out_path = Path("scratch")
+    out_path.mkdir(parents=True, exist_ok=True)
+
+    ## Use VlmPipeline
+    pipeline_options = VlmPipelineOptions()
+    pipeline_options.generate_page_images = True
+
+    ## On GPU systems, enable flash_attention_2 with CUDA:
+    # pipeline_options.accelerator_options.device = AcceleratorDevice.CUDA
+    # pipeline_options.accelerator_options.cuda_use_flash_attention2 = True
+
+    vlm_models = [
+        ## DocTags / SmolDocling models
+        vlm_model_specs.SMOLDOCLING_MLX,
+        vlm_model_specs.SMOLDOCLING_TRANSFORMERS,
+        ## Markdown models (using MLX framework)
+        vlm_model_specs.QWEN25_VL_3B_MLX,
+        vlm_model_specs.PIXTRAL_12B_MLX,
+        vlm_model_specs.GEMMA3_12B_MLX,
+        ## Markdown models (using Transformers framework)
+        vlm_model_specs.GRANITE_VISION_TRANSFORMERS,
+        vlm_model_specs.PHI4_TRANSFORMERS,
+        vlm_model_specs.PIXTRAL_12B_TRANSFORMERS,
+    ]
+
+    # Remove MLX models if not on Mac
+    if sys.platform != "darwin":
+        vlm_models = [
+            m for m in vlm_models if m.inference_framework != InferenceFramework.MLX
+        ]
+
+    rows = []
+    for vlm_options in vlm_models:
+        pipeline_options.vlm_options = vlm_options
+
+        ## Set up pipeline for PDF or image inputs
+        converter = DocumentConverter(
+            format_options={
+                InputFormat.PDF: PdfFormatOption(
+                    pipeline_cls=VlmPipeline,
+                    pipeline_options=pipeline_options,
+                ),
+                InputFormat.IMAGE: PdfFormatOption(
+                    pipeline_cls=VlmPipeline,
+                    pipeline_options=pipeline_options,
+                ),
+            },
+        )
+
+        row = convert(sources=sources, converter=converter)
+        rows.append(row)
+
+        print(
+            tabulate(
+                rows, headers=["source", "model_id", "framework", "num_pages", "time"]
+            )
+        )
+
+        print("see if memory gets released ...")
+        time.sleep(10)
diff --git a/docs/examples/custom_convert.py b/docs/examples/custom_convert.py
index 3b8ae6df..12dfacd5 100644
--- a/docs/examples/custom_convert.py
+++ b/docs/examples/custom_convert.py
@@ -3,10 +3,9 @@ import logging
 import time
 from pathlib import Path
 
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     PdfPipelineOptions,
 )
 from docling.document_converter import DocumentConverter, PdfFormatOption
diff --git a/docs/examples/minimal_vlm_pipeline.py b/docs/examples/minimal_vlm_pipeline.py
index 96288b08..666c0604 100644
--- a/docs/examples/minimal_vlm_pipeline.py
+++ b/docs/examples/minimal_vlm_pipeline.py
@@ -1,101 +1,46 @@
-import json
-import time
-from pathlib import Path
-
-from docling_core.types.doc import DocItemLabel, ImageRefMode
-from docling_core.types.doc.document import DEFAULT_EXPORT_LABELS
-
+from docling.datamodel import vlm_model_specs
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.pipeline_options import (
     VlmPipelineOptions,
-    smoldocling_vlm_mlx_conversion_options,
 )
 from docling.document_converter import DocumentConverter, PdfFormatOption
 from docling.pipeline.vlm_pipeline import VlmPipeline
 
-sources = [
-    # "tests/data/2305.03393v1-pg9-img.png",
-    "tests/data/pdf/2305.03393v1-pg9.pdf",
-]
+source = "https://arxiv.org/pdf/2501.17887"
 
-## Use experimental VlmPipeline
-pipeline_options = VlmPipelineOptions()
-# If force_backend_text = True, text from backend will be used instead of generated text
-pipeline_options.force_backend_text = False
+###### USING SIMPLE DEFAULT VALUES
+# - SmolDocling model
+# - Using the transformers framework
 
-## On GPU systems, enable flash_attention_2 with CUDA:
-# pipeline_options.accelerator_options.device = AcceleratorDevice.CUDA
-# pipeline_options.accelerator_options.cuda_use_flash_attention2 = True
+converter = DocumentConverter(
+    format_options={
+        InputFormat.PDF: PdfFormatOption(
+            pipeline_cls=VlmPipeline,
+        ),
+    }
+)
 
-## Pick a VLM model. We choose SmolDocling-256M by default
-# pipeline_options.vlm_options = smoldocling_vlm_conversion_options
+doc = converter.convert(source=source).document
 
-## Pick a VLM model. Fast Apple Silicon friendly implementation for SmolDocling-256M via MLX
-pipeline_options.vlm_options = smoldocling_vlm_mlx_conversion_options
+print(doc.export_to_markdown())
 
-## Alternative VLM models:
-# pipeline_options.vlm_options = granite_vision_vlm_conversion_options
 
-## Set up pipeline for PDF or image inputs
+###### USING MACOS MPS ACCELERATOR
+# For more options see the compare_vlm_models.py example.
+
+pipeline_options = VlmPipelineOptions(
+    vlm_options=vlm_model_specs.SMOLDOCLING_MLX,
+)
+
 converter = DocumentConverter(
     format_options={
         InputFormat.PDF: PdfFormatOption(
             pipeline_cls=VlmPipeline,
             pipeline_options=pipeline_options,
         ),
-        InputFormat.IMAGE: PdfFormatOption(
-            pipeline_cls=VlmPipeline,
-            pipeline_options=pipeline_options,
-        ),
     }
 )
 
-out_path = Path("scratch")
-out_path.mkdir(parents=True, exist_ok=True)
+doc = converter.convert(source=source).document
 
-for source in sources:
-    start_time = time.time()
-    print("================================================")
-    print(f"Processing... {source}")
-    print("================================================")
-    print("")
-
-    res = converter.convert(source)
-
-    print("")
-    print(res.document.export_to_markdown())
-
-    for page in res.pages:
-        print("")
-        print("Predicted page in DOCTAGS:")
-        print(page.predictions.vlm_response.text)
-
-    res.document.save_as_html(
-        filename=Path(f"{out_path}/{res.input.file.stem}.html"),
-        image_mode=ImageRefMode.REFERENCED,
-        labels=[*DEFAULT_EXPORT_LABELS, DocItemLabel.FOOTNOTE],
-    )
-
-    with (out_path / f"{res.input.file.stem}.json").open("w") as fp:
-        fp.write(json.dumps(res.document.export_to_dict()))
-
-    res.document.save_as_json(
-        out_path / f"{res.input.file.stem}.json",
-        image_mode=ImageRefMode.PLACEHOLDER,
-    )
-
-    res.document.save_as_markdown(
-        out_path / f"{res.input.file.stem}.md",
-        image_mode=ImageRefMode.PLACEHOLDER,
-    )
-
-    pg_num = res.document.num_pages()
-    print("")
-    inference_time = time.time() - start_time
-    print(
-        f"Total document prediction time: {inference_time:.2f} seconds, pages: {pg_num}"
-    )
-
-print("================================================")
-print("done!")
-print("================================================")
+print(doc.export_to_markdown())
diff --git a/docs/examples/run_with_accelerator.py b/docs/examples/run_with_accelerator.py
index a5380740..6b3ddc68 100644
--- a/docs/examples/run_with_accelerator.py
+++ b/docs/examples/run_with_accelerator.py
@@ -1,9 +1,8 @@
 from pathlib import Path
 
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     PdfPipelineOptions,
 )
 from docling.datamodel.settings import settings
diff --git a/docs/examples/translate.py b/docs/examples/translate.py
index 229d5451..f2711a23 100644
--- a/docs/examples/translate.py
+++ b/docs/examples/translate.py
@@ -1,5 +1,4 @@
 import logging
-import time
 from pathlib import Path
 
 from docling_core.types.doc import ImageRefMode, TableItem, TextItem
diff --git a/docs/examples/vlm_pipeline_api_model.py b/docs/examples/vlm_pipeline_api_model.py
index 504cecc5..ec29e21c 100644
--- a/docs/examples/vlm_pipeline_api_model.py
+++ b/docs/examples/vlm_pipeline_api_model.py
@@ -7,10 +7,9 @@ from dotenv import load_dotenv
 
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.pipeline_options import (
-    ApiVlmOptions,
-    ResponseFormat,
     VlmPipelineOptions,
 )
+from docling.datamodel.pipeline_options_vlm_model import ApiVlmOptions, ResponseFormat
 from docling.document_converter import DocumentConverter, PdfFormatOption
 from docling.pipeline.vlm_pipeline import VlmPipeline
 
diff --git a/docs/index.md b/docs/index.md
index 90f79331..8723d839 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -27,7 +27,7 @@ Docling simplifies document processing, parsing diverse formats — including ad
 * 🔒 Local execution capabilities for sensitive data and air-gapped environments
 * 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
 * 🔍 Extensive OCR support for scanned PDFs and images
-* 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)) 🆕🔥
+* 🥚 Support of several Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)) 🔥
 * 💻 Simple and convenient CLI
 
 ### Coming soon
diff --git a/docs/usage/vision_models.md b/docs/usage/vision_models.md
new file mode 100644
index 00000000..ba3fc3eb
--- /dev/null
+++ b/docs/usage/vision_models.md
@@ -0,0 +1,121 @@
+
+The `VlmPipeline` in Docling allows to convert documents end-to-end using a vision-language model.
+
+Docling supports vision-language models which output:
+
+- DocTags (e.g. [SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)), the preferred choice
+- Markdown
+- HTML
+
+
+For running Docling using local models with the `VlmPipeline`:
+
+=== "CLI"
+
+    ```bash
+    docling --pipeline vlm FILE
+    ```
+
+=== "Python"
+
+    See also the example [minimal_vlm_pipeline.py](./../examples/minimal_vlm_pipeline.py).
+
+    ```python
+    from docling.datamodel.base_models import InputFormat
+    from docling.document_converter import DocumentConverter, PdfFormatOption
+    from docling.pipeline.vlm_pipeline import VlmPipeline
+
+    converter = DocumentConverter(
+        format_options={
+            InputFormat.PDF: PdfFormatOption(
+                pipeline_cls=VlmPipeline,
+            ),
+        }
+    )
+
+    doc = converter.convert(source="FILE").document
+    ```
+
+## Available local models
+
+By default, the vision-language models are running locally.
+Docling allows to choose between the Hugging Face [Transformers](https://github.com/huggingface/transformers) framweork and the [MLX](https://github.com/Blaizzy/mlx-vlm) (for Apple devices with MPS acceleration) one.
+
+The following table reports the models currently available out-of-the-box.
+
+| Model instance | Model | Framework | Device | Num pages | Inference time (sec) |
+| ---------------|------ | --------- | ------ | --------- | ---------------------|
+| `vlm_model_specs.SMOLDOCLING_TRANSFORMERS` | [ds4sd/SmolDocling-256M-preview](https://huggingface.co/ds4sd/SmolDocling-256M-preview) | `Transformers/AutoModelForVision2Seq` | MPS | 1 |  102.212 |
+| `vlm_model_specs.SMOLDOCLING_MLX` | [ds4sd/SmolDocling-256M-preview-mlx-bf16](https://huggingface.co/ds4sd/SmolDocling-256M-preview-mlx-bf16) | `MLX`| MPS | 1 |    6.15453 |
+| `vlm_model_specs.QWEN25_VL_3B_MLX` | [mlx-community/Qwen2.5-VL-3B-Instruct-bf16](https://huggingface.co/mlx-community/Qwen2.5-VL-3B-Instruct-bf16)  |  `MLX`| MPS | 1 |   23.4951 |
+| `vlm_model_specs.PIXTRAL_12B_MLX` | [mlx-community/pixtral-12b-bf16](https://huggingface.co/mlx-community/pixtral-12b-bf16) |  `MLX` | MPS | 1 |  308.856 |
+| `vlm_model_specs.GEMMA3_12B_MLX` | [mlx-community/gemma-3-12b-it-bf16](https://huggingface.co/mlx-community/gemma-3-12b-it-bf16) |  `MLX` | MPS | 1 |  378.486 |
+| `vlm_model_specs.GRANITE_VISION_TRANSFORMERS` | [ibm-granite/granite-vision-3.2-2b](https://huggingface.co/ibm-granite/granite-vision-3.2-2b) | `Transformers/AutoModelForVision2Seq` | MPS | 1 |  104.75 |
+| `vlm_model_specs.PHI4_TRANSFORMERS` | [microsoft/Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) | `Transformers/AutoModelForCasualLM` | CPU | 1 | 1175.67 |
+| `vlm_model_specs.PIXTRAL_12B_TRANSFORMERS` | [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) | `Transformers/AutoModelForVision2Seq` | CPU | 1 | 1828.21 |
+
+_Inference time is computed on a Macbook M3 Max using the example page `tests/data/pdf/2305.03393v1-pg9.pdf`. The comparision is done with the example [compare_vlm_models.py](./../examples/compare_vlm_models.py)._
+
+For choosing the model, the code snippet above can be extended as follow
+
+```python
+from docling.datamodel.base_models import InputFormat
+from docling.document_converter import DocumentConverter, PdfFormatOption
+from docling.pipeline.vlm_pipeline import VlmPipeline
+from docling.datamodel.pipeline_options import (
+    VlmPipelineOptions,
+)
+from docling.datamodel import vlm_model_specs
+
+pipeline_options = VlmPipelineOptions(
+    vlm_options=vlm_model_specs.SMOLDOCLING_MLX,  # <-- change the model here
+)
+
+converter = DocumentConverter(
+    format_options={
+        InputFormat.PDF: PdfFormatOption(
+            pipeline_cls=VlmPipeline,
+            pipeline_options=pipeline_options,
+        ),
+    }
+)
+
+doc = converter.convert(source="FILE").document
+```
+
+### Other models
+
+Other models can be configured by directly providing the Hugging Face `repo_id`, the prompt and a few more options.
+
+For example:
+
+```python
+from docling.datamodel.pipeline_options_vlm_model import InlineVlmOptions, InferenceFramework, TransformersModelType
+
+pipeline_options = VlmPipelineOptions(
+    vlm_options=InlineVlmOptions(
+        repo_id="ibm-granite/granite-vision-3.2-2b",
+        prompt="Convert this page to markdown. Do not miss any text and only output the bare markdown!",
+        response_format=ResponseFormat.MARKDOWN,
+        inference_framework=InferenceFramework.TRANSFORMERS,
+        transformers_model_type=TransformersModelType.AUTOMODEL_VISION2SEQ,
+        supported_devices=[
+            AcceleratorDevice.CPU,
+            AcceleratorDevice.CUDA,
+            AcceleratorDevice.MPS,
+        ],
+        scale=2.0,
+        temperature=0.0,
+    )
+)
+```
+
+
+## Remote models
+
+Additionally to local models, the `VlmPipeline` allows to offload the inference to a remote service hosting the models.
+Many remote inference services are provided, the key requirement is to offer an OpenAI-compatible API. This includes vLLM, Ollama, etc.
+
+More examples on how to connect with the remote inference services can be found in the following examples:
+
+- [vlm_pipeline_api_model.py](./../examples/vlm_pipeline_api_model.py)
diff --git a/mkdocs.yml b/mkdocs.yml
index 2e40158e..db8bf27e 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -60,6 +60,7 @@ nav:
       - Usage: usage/index.md
       - Supported formats: usage/supported_formats.md
       - Enrichment features: usage/enrichments.md
+      - Vision models: usage/vision_models.md
     - FAQ:
       - FAQ: faq/index.md
   - Concepts:
@@ -78,6 +79,7 @@ nav:
       - "Multi-format conversion": examples/run_with_formats.py
       - "VLM pipeline with SmolDocling": examples/minimal_vlm_pipeline.py
       - "VLM pipeline with remote model": examples/vlm_pipeline_api_model.py
+      - "VLM comparison": examples/compare_vlm_models.py
       - "Figure export": examples/export_figures.py
       - "Table export": examples/export_tables.py
       - "Multimodal export": examples/export_multimodal.py
diff --git a/poetry.lock b/poetry.lock
index 0d4e1f02..8c25e80a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,16 +1,14 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
-version = "1.6.0"
+version = "1.7.0"
 description = "Accelerate"
-optional = true
+optional = false
 python-versions = ">=3.9.0"
-groups = ["main"]
-markers = "(sys_platform != \"darwin\" or platform_machine != \"x86_64\") and extra == \"vlm\" and platform_machine == \"aarch64\" and platform_system == \"Linux\""
 files = [
-    {file = "accelerate-1.6.0-py3-none-any.whl", hash = "sha256:1aee717d3d3735ad6d09710a7c26990ee4652b79b4e93df46551551b5227c2aa"},
-    {file = "accelerate-1.6.0.tar.gz", hash = "sha256:28c1ef1846e690944f98b68dc7b8bb6c51d032d45e85dcbb3adb0c8b99dffb32"},
+    {file = "accelerate-1.7.0-py3-none-any.whl", hash = "sha256:cf57165cca28769c6cf2650812371c81b18e05743dfa3c748524b1bb4f2b272f"},
+    {file = "accelerate-1.7.0.tar.gz", hash = "sha256:e8a2a5503d6237b9eee73cc8d36cf543f9c2d8dd2c6713450b322f5e6d53a610"},
 ]
 
 [package.dependencies]
@@ -29,6 +27,7 @@ quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<
 rich = ["rich"]
 sagemaker = ["sagemaker"]
 test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
 test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "tensorboard", "wandb"]
 testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
@@ -39,8 +38,6 @@ version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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     {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
@@ -48,98 +45,101 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.18"
+version = "3.12.6"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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+    {file = "aiohttp-3.12.6.tar.gz", hash = "sha256:37b1c6034a1e14764adad1829cd710543b1699d7985e1d336f0aa52a2dd76ba9"},
 ]
 
 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
+aiohappyeyeballs = ">=2.5.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -149,7 +149,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli", "aiodns (>=3.3.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -157,8 +157,6 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -173,8 +171,6 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -186,8 +182,6 @@ version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
     {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
@@ -201,7 +195,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -210,8 +204,6 @@ version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Darwin\""
 files = [
     {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
     {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
@@ -223,8 +215,6 @@ version = "2.15.8"
 description = "An abstract syntax tree for Python with inference support."
 optional = false
 python-versions = ">=3.7.2"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"},
     {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"},
@@ -244,8 +234,6 @@ version = "3.0.0"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
     {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
@@ -261,8 +249,6 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" or python_version == \"3.10\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -274,20 +260,18 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "autopep8"
@@ -295,8 +279,6 @@ version = "2.2.0"
 description = "A tool that automatically formats Python code to conform to the PEP 8 style guide"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "autopep8-2.2.0-py2.py3-none-any.whl", hash = "sha256:05418a981f038969d8bdcd5636bf15948db7555ae944b9f79b5a34b35f1370d4"},
     {file = "autopep8-2.2.0.tar.gz", hash = "sha256:d306a0581163ac29908280ad557773a95a9bede072c0fafed6f141f5311f43c1"},
@@ -312,15 +294,24 @@ version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
     {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
 ]
 
 [package.extras]
-dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
+dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
+
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
 
 [[package]]
 name = "backports-tarfile"
@@ -328,8 +319,6 @@ version = "1.2.0"
 description = "Backport of CPython tarfile module"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version == \"3.10\" or python_version == \"3.11\" or sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""
 files = [
     {file = "backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34"},
     {file = "backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991"},
@@ -345,8 +334,6 @@ version = "5.8"
 description = "A wrapper around re and regex that adds additional back references."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -365,8 +352,6 @@ version = "4.13.4"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
-groups = ["main", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -389,8 +374,6 @@ version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -439,8 +422,6 @@ version = "6.2.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -459,8 +440,6 @@ version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -472,7 +451,6 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
 files = [
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@@ -542,7 +520,6 @@ files = [
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 [package.dependencies]
 pycparser = "*"
@@ -553,8 +530,6 @@ version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -566,8 +541,6 @@ version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -669,8 +642,6 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -685,8 +656,6 @@ version = "0.4.0"
 description = "Logging integration for Click"
 optional = false
 python-versions = "*"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -701,12 +670,10 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
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-groups = ["main", "dev", "docs", "examples"]
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 [[package]]
 name = "coloredlogs"
@@ -714,8 +681,6 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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@@ -733,8 +698,6 @@ version = "0.2.2"
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 python-versions = ">=3.8"
-groups = ["dev", "docs"]
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@@ -748,83 +711,85 @@ test = ["pytest"]
 
 [[package]]
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+version = "7.8.2"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
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 ]
 
 [package.dependencies]
 tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
 
 [package.extras]
-toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
+toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
@@ -832,8 +797,6 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "sys_platform == \"linux\""
 files = [
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@@ -883,8 +846,6 @@ version = "2.21.0"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "datasets-2.21.0-py3-none-any.whl", hash = "sha256:25e4e097110ce28824b746a107727ada94024cba11db8bc588d468414692b65a"},
     {file = "datasets-2.21.0.tar.gz", hash = "sha256:998f85a8460f1bd982e5bd058f8a0808eef424249e3df1e8cdd594ccd0dc8ba2"},
@@ -908,9 +869,9 @@ xxhash = "*"
 
 [package.extras]
 apache-beam = ["apache-beam (>=2.26.0)"]
-audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""]
+audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk (<3.8.2)", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
@@ -918,8 +879,8 @@ quality = ["ruff (>=0.3.0)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.6.0)"]
 tensorflow-gpu = ["tensorflow (>=2.6.0)"]
-tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
-tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "typing-extensions (>=4.6.1)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "typing-extensions (>=4.6.1)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=9.4.0)"]
 
@@ -929,8 +890,6 @@ version = "1.8.14"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "debugpy-1.8.14-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:93fee753097e85623cab1c0e6a68c76308cd9f13ffdf44127e6fab4fbf024339"},
     {file = "debugpy-1.8.14-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d937d93ae4fa51cdc94d3e865f535f185d5f9748efb41d0d49e33bf3365bd79"},
@@ -966,8 +925,6 @@ version = "5.2.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
     {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
@@ -979,8 +936,6 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -992,8 +947,6 @@ version = "0.3.8"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
     {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
@@ -1009,8 +962,6 @@ version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
     {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
@@ -1022,8 +973,6 @@ version = "2.32.0"
 description = "A python library to define and validate data types in Docling."
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docling_core-2.32.0-py3-none-any.whl", hash = "sha256:6c643b45a18c5ed8cecf12d1eeeb7ff677dcfdb24fa4aa88122e3c9cc2aeb58d"},
     {file = "docling_core-2.32.0.tar.gz", hash = "sha256:3ec21461f309540bd8bf4880f6c2f0144f6895988102a4204ca5549c76a945c8"},
@@ -1053,8 +1002,6 @@ version = "3.4.3"
 description = "This package contains the AI models used by the Docling PDF conversion package"
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docling_ibm_models-3.4.3-py3-none-any.whl", hash = "sha256:9a9a0cb0e892985f38adb1057d9c57be135a8f91283bad02fb738c2eac5709ec"},
     {file = "docling_ibm_models-3.4.3.tar.gz", hash = "sha256:f172334f4a723ad3ab91304d759ca887cce9f283179d60cc7c7167d920b57909"},
@@ -1076,8 +1023,8 @@ torch = ">=2.2.2,<3.0.0"
 torchvision = ">=0,<1"
 tqdm = ">=4.64.0,<5.0.0"
 transformers = [
-    {version = ">=4.42.0,<5.0.0", markers = "sys_platform != \"darwin\" or platform_machine != \"x86_64\""},
-    {version = ">=4.47.0,<5.0.0", markers = "python_version >= \"3.13\" and (sys_platform != \"darwin\" or platform_machine != \"x86_64\")"},
+    {version = ">=4.42.0,<5.0.0", markers = "sys_platform != \"darwin\" and python_version < \"3.13\" or platform_machine != \"x86_64\" and python_version < \"3.13\""},
+    {version = ">=4.47.0,<5.0.0", markers = "python_version >= \"3.13\" and sys_platform != \"darwin\" or python_version >= \"3.13\" and platform_machine != \"x86_64\""},
     {version = ">=4.42.0,<4.43.0", markers = "python_version < \"3.13\" and sys_platform == \"darwin\" and platform_machine == \"x86_64\""},
 ]
 
@@ -1087,8 +1034,6 @@ version = "4.0.1"
 description = "Simple package to extract text with coordinates from programmatic PDFs"
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docling_parse-4.0.1-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:bd6faa40bf305a47b0ecd4f3ddbd6680ea6052ba70ec3e355e502eb80ca1c648"},
     {file = "docling_parse-4.0.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:ebf6c7b971c665fd1b0ddb90ba3ba0d5afba9e62ae281453e2a2ea57c46ada2b"},
@@ -1133,8 +1078,6 @@ version = "0.21.2"
 description = "Docutils -- Python Documentation Utilities"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2"},
     {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"},
@@ -1146,8 +1089,6 @@ version = "1.3.1"
 description = "Dictionary wrapper for quick access to deeply nested keys."
 optional = false
 python-versions = ">=3.5,<4.0"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "dotty_dict-1.3.1-py3-none-any.whl", hash = "sha256:5022d234d9922f13aa711b4950372a06a6d64cb6d6db9ba43d0ba133ebfce31f"},
     {file = "dotty_dict-1.3.1.tar.gz", hash = "sha256:4b016e03b8ae265539757a53eba24b9bfda506fb94fbce0bee843c6f05541a15"},
@@ -1159,8 +1100,6 @@ version = "1.7.2"
 description = "End-to-End Multi-Lingual Optical Character Recognition (OCR) Solution"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "easyocr-1.7.2-py3-none-any.whl", hash = "sha256:5be12f9b0e595d443c9c3d10b0542074b50f0ec2d98b141a109cd961fd1c177c"},
 ]
@@ -1185,8 +1124,6 @@ version = "2.0.0"
 description = "An implementation of lxml.xmlfile for the standard library"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
     {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
@@ -1198,8 +1135,6 @@ version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev", "docs", "examples"]
-markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" or python_version == \"3.10\""
 files = [
     {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
     {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
@@ -1217,8 +1152,6 @@ version = "2.1.1"
 description = "execnet: rapid multi-Python deployment"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
     {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"},
@@ -1233,15 +1166,13 @@ version = "2.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"},
     {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"},
 ]
 
 [package.extras]
-tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "fastjsonschema"
@@ -1249,8 +1180,6 @@ version = "2.21.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"},
     {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"},
@@ -1265,8 +1194,6 @@ version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
     {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
@@ -1275,7 +1202,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "filetype"
@@ -1283,8 +1210,6 @@ version = "1.2.0"
 description = "Infer file type and MIME type of any file/buffer. No external dependencies."
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
@@ -1296,8 +1221,6 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -1314,8 +1237,6 @@ version = "1.2.3"
 description = "Flake8 plug-in loading the configuration from pyproject.toml"
 optional = false
 python-versions = ">= 3.6"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "flake8_pyproject-1.2.3-py3-none-any.whl", hash = "sha256:6249fe53545205af5e76837644dc80b4c10037e73a0e5db87ff562d75fb5bd4a"},
 ]
@@ -1333,8 +1254,6 @@ version = "25.2.10"
 description = "The FlatBuffers serialization format for Python"
 optional = true
 python-versions = "*"
-groups = ["main"]
-markers = "extra == \"rapidocr\""
 files = [
     {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
     {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
@@ -1346,8 +1265,6 @@ version = "1.6.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "frozenlist-1.6.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e6e558ea1e47fd6fa8ac9ccdad403e5dd5ecc6ed8dda94343056fa4277d5c65e"},
     {file = "frozenlist-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4b3cd7334a4bbc0c472164f3744562cb72d05002cc6fcf58adb104630bbc352"},
@@ -1461,8 +1378,6 @@ version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
     {file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
@@ -1505,8 +1420,6 @@ version = "2.1.0"
 description = "Copy your docs directly to the gh-pages branch."
 optional = false
 python-versions = "*"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"},
     {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"},
@@ -1524,8 +1437,6 @@ version = "4.0.12"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
     {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
@@ -1540,8 +1451,6 @@ version = "3.1.44"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110"},
     {file = "gitpython-3.1.44.tar.gz", hash = "sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269"},
@@ -1552,7 +1461,7 @@ gitdb = ">=4.0.1,<5"
 
 [package.extras]
 doc = ["sphinx (>=7.1.2,<7.2)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"]
-test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""]
+test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
 
 [[package]]
 name = "griffe"
@@ -1560,8 +1469,6 @@ version = "1.7.3"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "griffe-1.7.3-py3-none-any.whl", hash = "sha256:c6b3ee30c2f0f17f30bcdef5068d6ab7a2a4f1b8bf1a3e74b56fffd21e1c5f75"},
     {file = "griffe-1.7.3.tar.gz", hash = "sha256:52ee893c6a3a968b639ace8015bec9d36594961e156e23315c8e8e51401fa50b"},
@@ -1576,8 +1483,6 @@ version = "1.1.4"
 description = "Griffe extension for Pydantic."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "griffe_pydantic-1.1.4-py3-none-any.whl", hash = "sha256:a4b9933579e14a8296cae90e71dace2742d91cb6792e5cd583047a6079f94e78"},
     {file = "griffe_pydantic-1.1.4.tar.gz", hash = "sha256:3ce97cedb2c15b696e0c1c4bb901411f5b83b8e4d57b1fc0f2becde678ab4870"},
@@ -1592,8 +1497,6 @@ version = "1.67.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "grpcio-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:8b0341d66a57f8a3119b77ab32207072be60c9bf79760fa609c5609f2deb1f3f"},
     {file = "grpcio-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:f5a27dddefe0e2357d3e617b9079b4bfdc91341a91565111a21ed6ebbc51b22d"},
@@ -1661,8 +1564,6 @@ version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -1670,21 +1571,19 @@ files = [
 
 [[package]]
 name = "hf-xet"
-version = "1.1.1"
-description = ""
+version = "1.1.2"
+description = "Fast transfer of large files with the Hugging Face Hub."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "examples"]
-markers = "platform_machine == \"x86_64\" or platform_machine == \"aarch64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")"
 files = [
-    {file = "hf_xet-1.1.1-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e39a8513f0854656116c837d387d9a41e9d78430b1a181442f04c223cbc4e8f8"},
-    {file = "hf_xet-1.1.1-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:c60cd67be384cb9e592fa6dfd29a10fddffa1feb2f3b31f53e980630d1ca0fd6"},
-    {file = "hf_xet-1.1.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5efc6cf15930d9b0cef25c0444e00c2f55d9e09f856f26ed8c809fd5cd1aa044"},
-    {file = "hf_xet-1.1.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:504bbc8341edc2aa4b3c20c1fdda818554ab34e4175730f42e2a90436cbbe706"},
-    {file = "hf_xet-1.1.1-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:87d030157a21016c2cddf757a5fd6f1f364d86afef6e190e63a37dd4dc6f6c98"},
-    {file = "hf_xet-1.1.1-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6e9b640f0f002b3bea36739b30cf3133b3175c27a342b39315be9a9bdb0cec5b"},
-    {file = "hf_xet-1.1.1-cp37-abi3-win_amd64.whl", hash = "sha256:215a4e95009a0b9795ca3cf33db4e8d1248139593d7e1185661cd19b062d2b82"},
-    {file = "hf_xet-1.1.1.tar.gz", hash = "sha256:3e75d6e04c38c80115b640c025d68c3dc14d62f8b244011dfe547363674a1e87"},
+    {file = "hf_xet-1.1.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469"},
+    {file = "hf_xet-1.1.2-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d"},
+    {file = "hf_xet-1.1.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec"},
+    {file = "hf_xet-1.1.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173"},
+    {file = "hf_xet-1.1.2-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3"},
+    {file = "hf_xet-1.1.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a"},
+    {file = "hf_xet-1.1.2-cp37-abi3-win_amd64.whl", hash = "sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c"},
+    {file = "hf_xet-1.1.2.tar.gz", hash = "sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3"},
 ]
 
 [package.extras]
@@ -1696,8 +1595,6 @@ version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -1719,8 +1616,6 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1733,7 +1628,7 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -1741,21 +1636,19 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.31.1"
+version = "0.32.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "huggingface_hub-0.31.1-py3-none-any.whl", hash = "sha256:43f73124819b48b42d140cbc0d7a2e6bd15b2853b1b9d728d4d55ad1750cac5b"},
-    {file = "huggingface_hub-0.31.1.tar.gz", hash = "sha256:492bb5f545337aa9e2f59b75ef4c5f535a371e8958a6ce90af056387e67f1180"},
+    {file = "huggingface_hub-0.32.3-py3-none-any.whl", hash = "sha256:e46f7ea7fe2b5e5f67cc4e37eb201140091946a314d7c2b134a9673dadd80b6a"},
+    {file = "huggingface_hub-0.32.3.tar.gz", hash = "sha256:752c889ebf3a63cbd39803f6d87ccc135a463bbcb36abfa2faff0ccbf1cec087"},
 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
-hf-xet = {version = ">=1.1.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
+hf-xet = {version = ">=1.1.2,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1763,17 +1656,19 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-hf-xet = ["hf-xet (>=1.1.0,<2.0.0)"]
+hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
-quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
+mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
+oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+quality = ["libcst (==1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -1783,8 +1678,6 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-markers = "extra == \"rapidocr\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -1795,15 +1688,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "identify"
-version = "2.6.10"
+version = "2.6.12"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "identify-2.6.10-py2.py3-none-any.whl", hash = "sha256:5f34248f54136beed1a7ba6a6b5c4b6cf21ff495aac7c359e1ef831ae3b8ab25"},
-    {file = "identify-2.6.10.tar.gz", hash = "sha256:45e92fd704f3da71cc3880036633f48b4b7265fd4de2b57627cb157216eb7eb8"},
+    {file = "identify-2.6.12-py2.py3-none-any.whl", hash = "sha256:ad9672d5a72e0d2ff7c5c8809b62dfa60458626352fb0eb7b55e69bdc45334a2"},
+    {file = "identify-2.6.12.tar.gz", hash = "sha256:d8de45749f1efb108badef65ee8386f0f7bb19a7f26185f74de6367bffbaf0e6"},
 ]
 
 [package.extras]
@@ -1815,8 +1706,6 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1831,8 +1720,6 @@ version = "2.37.0"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "imageio-2.37.0-py3-none-any.whl", hash = "sha256:11efa15b87bc7871b61590326b2d635439acc321cf7f8ce996f812543ce10eed"},
     {file = "imageio-2.37.0.tar.gz", hash = "sha256:71b57b3669666272c818497aebba2b4c5f20d5b37c81720e5e1a56d59c492996"},
@@ -1866,23 +1753,21 @@ version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev", "docs"]
 files = [
     {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
     {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
 ]
-markers = {dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""}
 
 [package.dependencies]
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1891,8 +1776,6 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -1904,8 +1787,6 @@ version = "2.2.0"
 description = "Pythonic task execution"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "invoke-2.2.0-py3-none-any.whl", hash = "sha256:6ea924cc53d4f78e3d98bc436b08069a03077e6f85ad1ddaa8a116d7dad15820"},
     {file = "invoke-2.2.0.tar.gz", hash = "sha256:ee6cbb101af1a859c7fe84f2a264c059020b0cb7fe3535f9424300ab568f6bd5"},
@@ -1917,8 +1798,6 @@ version = "6.29.5"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
     {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
@@ -1952,8 +1831,6 @@ version = "8.18.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
     {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
@@ -1991,8 +1868,6 @@ version = "8.1.7"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb"},
     {file = "ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376"},
@@ -2014,8 +1889,6 @@ version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -2030,8 +1903,6 @@ version = "3.4.0"
 description = "Utility functions for Python class constructs"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790"},
     {file = "jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd"},
@@ -2050,8 +1921,6 @@ version = "6.0.1"
 description = "Useful decorators and context managers"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jaraco.context-6.0.1-py3-none-any.whl", hash = "sha256:f797fc481b490edb305122c9181830a3a5b76d84ef6d1aef2fb9b47ab956f9e4"},
     {file = "jaraco_context-6.0.1.tar.gz", hash = "sha256:9bae4ea555cf0b14938dc0aee7c9f32ed303aa20a3b73e7dc80111628792d1b3"},
@@ -2062,7 +1931,7 @@ files = [
 
 [package.extras]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-test = ["portend", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+test = ["portend", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "jaraco-functools"
@@ -2070,8 +1939,6 @@ version = "4.1.0"
 description = "Functools like those found in stdlib"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jaraco.functools-4.1.0-py3-none-any.whl", hash = "sha256:ad159f13428bc4acbf5541ad6dec511f91573b90fba04df61dafa2a1231cf649"},
     {file = "jaraco_functools-4.1.0.tar.gz", hash = "sha256:70f7e0e2ae076498e212562325e805204fc092d7b4c17e0e86c959e249701a9d"},
@@ -2081,7 +1948,7 @@ files = [
 more-itertools = "*"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -2094,8 +1961,6 @@ version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
     {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
@@ -2115,15 +1980,13 @@ version = "0.9.0"
 description = "Low-level, pure Python DBus protocol wrapper."
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "sys_platform == \"linux\""
 files = [
     {file = "jeepney-0.9.0-py3-none-any.whl", hash = "sha256:97e5714520c16fc0a45695e5365a2e11b81ea79bba796e26f9f1d178cb182683"},
     {file = "jeepney-0.9.0.tar.gz", hash = "sha256:cf0e9e845622b81e4a28df94c40345400256ec608d0e55bb8a3feaa9163f5732"},
 ]
 
 [package.extras]
-test = ["async-timeout ; python_version < \"3.11\"", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
+test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
 trio = ["trio"]
 
 [[package]]
@@ -2132,8 +1995,6 @@ version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "docs", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -2147,15 +2008,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.5.0"
+version = "1.5.1"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "joblib-1.5.0-py3-none-any.whl", hash = "sha256:206144b320246485b712fc8cc51f017de58225fa8b414a1fe1764a7231aca491"},
-    {file = "joblib-1.5.0.tar.gz", hash = "sha256:d8757f955389a3dd7a23152e43bc297c2e0c2d3060056dad0feefc88a06939b5"},
+    {file = "joblib-1.5.1-py3-none-any.whl", hash = "sha256:4719a31f054c7d766948dcd83e9613686b27114f190f717cec7eaa2084f8a74a"},
+    {file = "joblib-1.5.1.tar.gz", hash = "sha256:f4f86e351f39fe3d0d32a9f2c3d8af1ee4cec285aafcb27003dda5205576b444"},
 ]
 
 [[package]]
@@ -2164,8 +2023,6 @@ version = "3.1.0"
 description = "Library with helpers for the jsonlines file format"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonlines-3.1.0-py3-none-any.whl", hash = "sha256:632f5e38f93dfcb1ac8c4e09780b92af3a55f38f26e7c47ae85109d420b6ad39"},
     {file = "jsonlines-3.1.0.tar.gz", hash = "sha256:2579cb488d96f815b0eb81629e3e6b0332da0962a18fa3532958f7ba14a5c37f"},
@@ -2180,8 +2037,6 @@ version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -2196,8 +2051,6 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -2209,8 +2062,6 @@ version = "1.1.0"
 description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonref-1.1.0-py3-none-any.whl", hash = "sha256:590dc7773df6c21cbf948b5dac07a72a251db28b0238ceecce0a2abfa8ec30a9"},
     {file = "jsonref-1.1.0.tar.gz", hash = "sha256:32fe8e1d85af0fdefbebce950af85590b22b60f9e95443176adbde4e1ecea552"},
@@ -2218,15 +2069,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.23.0"
+version = "4.24.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+python-versions = ">=3.9"
 files = [
-    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
-    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
+    {file = "jsonschema-4.24.0-py3-none-any.whl", hash = "sha256:a462455f19f5faf404a7902952b6f0e3ce868f3ee09a359b05eca6673bd8412d"},
+    {file = "jsonschema-4.24.0.tar.gz", hash = "sha256:0b4e8069eb12aedfa881333004bccaec24ecef5a8a6a4b6df142b2cc9599d196"},
 ]
 
 [package.dependencies]
@@ -2245,8 +2094,6 @@ version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"},
     {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
@@ -2261,8 +2108,6 @@ version = "8.6.3"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"},
     {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"},
@@ -2278,19 +2123,17 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.7.2"
+version = "5.8.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
-    {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
+    {file = "jupyter_core-5.8.1-py3-none-any.whl", hash = "sha256:c28d268fc90fb53f1338ded2eb410704c5449a358406e8a948b75706e24863d0"},
+    {file = "jupyter_core-5.8.1.tar.gz", hash = "sha256:0a5f9706f70e64786b75acba995988915ebd4601c8a52e534a40b51c95f59941"},
 ]
 
 [package.dependencies]
@@ -2299,8 +2142,8 @@ pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_
 traitlets = ">=5.3"
 
 [package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
-test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
+docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"]
+test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyterlab-pygments"
@@ -2308,8 +2151,6 @@ version = "0.3.0"
 description = "Pygments theme using JupyterLab CSS variables"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
     {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
@@ -2321,8 +2162,6 @@ version = "3.0.15"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "jupyterlab_widgets-3.0.15-py3-none-any.whl", hash = "sha256:d59023d7d7ef71400d51e6fee9a88867f6e65e10a4201605d2d7f3e8f012a31c"},
     {file = "jupyterlab_widgets-3.0.15.tar.gz", hash = "sha256:2920888a0c2922351a9202817957a68c07d99673504d6cd37345299e971bb08b"},
@@ -2330,15 +2169,13 @@ files = [
 
 [[package]]
 name = "jupytext"
-version = "1.17.1"
+version = "1.17.2"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 optional = false
-python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+python-versions = ">=3.9"
 files = [
-    {file = "jupytext-1.17.1-py3-none-any.whl", hash = "sha256:99145b1e1fa96520c21ba157de7d354ffa4904724dcebdcd70b8413688a312de"},
-    {file = "jupytext-1.17.1.tar.gz", hash = "sha256:c02fda8af76ffd6e064a04cf2d3cc8aae242b2f0e38c42b4cd80baf89c3325d3"},
+    {file = "jupytext-1.17.2-py3-none-any.whl", hash = "sha256:4f85dc43bb6a24b75491c5c434001ad5ef563932f68f15dd3e1c8ce12a4a426b"},
+    {file = "jupytext-1.17.2.tar.gz", hash = "sha256:772d92898ac1f2ded69106f897b34af48ce4a85c985fa043a378ff5a65455f02"},
 ]
 
 [package.dependencies]
@@ -2365,8 +2202,6 @@ version = "25.6.0"
 description = "Store and access your passwords safely."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "keyring-25.6.0-py3-none-any.whl", hash = "sha256:552a3f7af126ece7ed5c89753650eec89c7eaae8617d0aa4d9ad2b75111266bd"},
     {file = "keyring-25.6.0.tar.gz", hash = "sha256:0b39998aa941431eb3d9b0d4b2460bc773b9df6fed7621c2dfb291a7e0187a66"},
@@ -2382,7 +2217,7 @@ pywin32-ctypes = {version = ">=0.2.0", markers = "sys_platform == \"win32\""}
 SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 completion = ["shtab (>=1.1.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
@@ -2396,8 +2231,6 @@ version = "0.2.43"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_core-0.2.43-py3-none-any.whl", hash = "sha256:619601235113298ebf8252a349754b7c28d3cf7166c7c922da24944b78a9363a"},
     {file = "langchain_core-0.2.43.tar.gz", hash = "sha256:42c2ef6adedb911f4254068b6adc9eb4c4075f6c8cb3d83590d3539a815695f5"},
@@ -2421,8 +2254,6 @@ version = "0.0.3"
 description = "An integration package connecting Hugging Face and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_huggingface-0.0.3-py3-none-any.whl", hash = "sha256:d6827adf3c7c8fcc0bca8c43c7e900c3bf68af9a1532a83d4b8ace137e02887e"},
     {file = "langchain_huggingface-0.0.3.tar.gz", hash = "sha256:0637acf484c47323cf3dcc46745a93467f6955989af9b7c01e2382fe1b630aaf"},
@@ -2441,8 +2272,6 @@ version = "0.1.10"
 description = "An integration package connecting Milvus and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_milvus-0.1.10-py3-none-any.whl", hash = "sha256:452e212d9e26c31d4eaec6c2c169b99c92c22735d39eafa55694a05ca0c3d538"},
     {file = "langchain_milvus-0.1.10.tar.gz", hash = "sha256:86a1a6557cbb41a0877300abf4be77ad6970617e3f3233ec1902b885d6147333"},
@@ -2458,8 +2287,6 @@ version = "0.2.4"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.8.1"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"},
     {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"},
@@ -2474,8 +2301,6 @@ version = "0.1.147"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
     {file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
@@ -2500,8 +2325,6 @@ version = "3.78.0"
 description = "Pure Python library for LaTeX to MathML conversion"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "latex2mathml-3.78.0-py3-none-any.whl", hash = "sha256:1aeca3dc027b3006ad7b301b7f4a15ffbb4c1451e3dc8c3389e97b37b497e1d6"},
     {file = "latex2mathml-3.78.0.tar.gz", hash = "sha256:712193aa4c6ade1a8e0145dac7bc1f9aafbd54f93046a2356a7e1c05fa0f8b31"},
@@ -2513,8 +2336,6 @@ version = "0.4"
 description = "Makes it easy to load subpackages and functions on demand."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
     {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"},
@@ -2534,8 +2355,6 @@ version = "1.11.0"
 description = "A fast and thorough lazy object proxy."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "lazy_object_proxy-1.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:132bc8a34f2f2d662a851acfd1b93df769992ed1b81e2b1fda7db3e73b0d5a18"},
     {file = "lazy_object_proxy-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:01261a3afd8621a1accb5682df2593dc7ec7d21d38f411011a5712dcd418fbed"},
@@ -2559,8 +2378,6 @@ version = "5.4.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "lxml-5.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e7bc6df34d42322c5289e37e9971d6ed114e3776b45fa879f734bded9d1fea9c"},
     {file = "lxml-5.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6854f8bd8a1536f8a1d9a3655e6354faa6406621cf857dc27b681b69860645c7"},
@@ -2706,8 +2523,6 @@ version = "3.8"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc"},
     {file = "markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f"},
@@ -2726,8 +2541,6 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -2752,8 +2565,6 @@ version = "2.1.3"
 description = "A markdown parser with high extensibility."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "marko-2.1.3-py3-none-any.whl", hash = "sha256:b4125d44b94606d6f13ddc77fef8cc4c87f70d54bc7d52d6547958b9f998a9d5"},
     {file = "marko-2.1.3.tar.gz", hash = "sha256:31aacb14867328f054cc39f884212907822a43d6a30cd75b0767e001a5e2f9fc"},
@@ -2770,8 +2581,6 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "docs", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -2842,8 +2651,6 @@ version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
     {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
@@ -2858,8 +2665,6 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -2871,8 +2676,6 @@ version = "0.4.2"
 description = "Collection of plugins for markdown-it-py"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mdit_py_plugins-0.4.2-py3-none-any.whl", hash = "sha256:0c673c3f889399a33b95e88d2f0d111b4447bdfea7f237dab2d488f459835636"},
     {file = "mdit_py_plugins-0.4.2.tar.gz", hash = "sha256:5f2cd1fdb606ddf152d37ec30e46101a60512bc0e5fa1a7002c36647b09e26b5"},
@@ -2892,8 +2695,6 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -2905,8 +2706,6 @@ version = "1.3.4"
 description = "A deep merge function for 🐍."
 optional = false
 python-versions = ">=3.6"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"},
     {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"},
@@ -2918,8 +2717,6 @@ version = "2.4.12"
 description = "A lightweight version of Milvus wrapped with Python."
 optional = false
 python-versions = ">=3.7"
-groups = ["examples"]
-markers = "sys_platform != \"win32\""
 files = [
     {file = "milvus_lite-2.4.12-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:e8d4f7cdd5f731efd6faeee3715d280fd91a5f9b4d89312664d56401f65b1473"},
     {file = "milvus_lite-2.4.12-py3-none-macosx_11_0_arm64.whl", hash = "sha256:20087663e7b4385050b7ad08f1f03404426d4c87b1ff91d5a8723eee7fd49e88"},
@@ -2936,8 +2733,6 @@ version = "3.1.3"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mistune-3.1.3-py3-none-any.whl", hash = "sha256:1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9"},
     {file = "mistune-3.1.3.tar.gz", hash = "sha256:a7035c21782b2becb6be62f8f25d3df81ccb4d6fa477a6525b15af06539f02a0"},
@@ -2952,8 +2747,6 @@ version = "1.6.1"
 description = "Project documentation with Markdown."
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e"},
     {file = "mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2"},
@@ -2977,19 +2770,17 @@ watchdog = ">=2.0"
 
 [package.extras]
 i18n = ["babel (>=2.9.0)"]
-min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4) ; platform_system == \"Windows\"", "ghp-import (==1.0)", "importlib-metadata (==4.4) ; python_version < \"3.10\"", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.4)", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
 
 [[package]]
 name = "mkdocs-autorefs"
-version = "1.4.1"
+version = "1.4.2"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "mkdocs_autorefs-1.4.1-py3-none-any.whl", hash = "sha256:9793c5ac06a6ebbe52ec0f8439256e66187badf4b5334b5fde0b128ec134df4f"},
-    {file = "mkdocs_autorefs-1.4.1.tar.gz", hash = "sha256:4b5b6235a4becb2b10425c2fa191737e415b37aa3418919db33e5d774c9db079"},
+    {file = "mkdocs_autorefs-1.4.2-py3-none-any.whl", hash = "sha256:83d6d777b66ec3c372a1aad4ae0cf77c243ba5bcda5bf0c6b8a2c5e7a3d89f13"},
+    {file = "mkdocs_autorefs-1.4.2.tar.gz", hash = "sha256:e2ebe1abd2b67d597ed19378c0fff84d73d1dbce411fce7a7cc6f161888b6749"},
 ]
 
 [package.dependencies]
@@ -3003,8 +2794,6 @@ version = "0.8.1"
 description = "An MkDocs extension to generate documentation for Click command line applications"
 optional = false
 python-versions = ">=3.7"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_click-0.8.1-py3-none-any.whl", hash = "sha256:a100ff938be63911f86465a1c21d29a669a7c51932b700fdb3daa90d13b61ee4"},
     {file = "mkdocs_click-0.8.1.tar.gz", hash = "sha256:0a88cce04870c5d70ff63138e2418219c3c4119cc928a59c66b76eb5214edba6"},
@@ -3020,8 +2809,6 @@ version = "0.2.0"
 description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"},
     {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"},
@@ -3039,8 +2826,6 @@ version = "0.25.1"
 description = "Use Jupyter in mkdocs websites"
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_jupyter-0.25.1-py3-none-any.whl", hash = "sha256:3f679a857609885d322880e72533ef5255561bbfdb13cfee2a1e92ef4d4ad8d8"},
     {file = "mkdocs_jupyter-0.25.1.tar.gz", hash = "sha256:0e9272ff4947e0ec683c92423a4bfb42a26477c103ab1a6ab8277e2dcc8f7afe"},
@@ -3056,15 +2841,13 @@ pygments = ">2.12.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.6.13"
+version = "9.6.14"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "mkdocs_material-9.6.13-py3-none-any.whl", hash = "sha256:3730730314e065f422cc04eacbc8c6084530de90f4654a1482472283a38e30d3"},
-    {file = "mkdocs_material-9.6.13.tar.gz", hash = "sha256:7bde7ebf33cfd687c1c86c08ed8f6470d9a5ba737bd89e7b3e5d9f94f8c72c16"},
+    {file = "mkdocs_material-9.6.14-py3-none-any.whl", hash = "sha256:3b9cee6d3688551bf7a8e8f41afda97a3c39a12f0325436d76c86706114b721b"},
+    {file = "mkdocs_material-9.6.14.tar.gz", hash = "sha256:39d795e90dce6b531387c255bd07e866e027828b7346d3eba5ac3de265053754"},
 ]
 
 [package.dependencies]
@@ -3091,8 +2874,6 @@ version = "1.3.1"
 description = "Extension pack for Python Markdown and MkDocs Material."
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31"},
     {file = "mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443"},
@@ -3104,8 +2885,6 @@ version = "0.27.0"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocstrings-0.27.0-py3-none-any.whl", hash = "sha256:6ceaa7ea830770959b55a16203ac63da24badd71325b96af950e59fd37366332"},
     {file = "mkdocstrings-0.27.0.tar.gz", hash = "sha256:16adca6d6b0a1f9e0c07ff0b02ced8e16f228a9d65a37c063ec4c14d7b76a657"},
@@ -3135,8 +2914,6 @@ version = "1.13.0"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mkdocstrings_python-1.13.0-py3-none-any.whl", hash = "sha256:b88bbb207bab4086434743849f8e796788b373bd32e7bfefbf8560ac45d88f97"},
     {file = "mkdocstrings_python-1.13.0.tar.gz", hash = "sha256:2dbd5757e8375b9720e81db16f52f1856bf59905428fd7ef88005d1370e2f64c"},
@@ -3153,8 +2930,6 @@ version = "10.7.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "more_itertools-10.7.0-py3-none-any.whl", hash = "sha256:d43980384673cb07d2f7d2d918c616b30c659c089ee23953f601d6609c67510e"},
     {file = "more_itertools-10.7.0.tar.gz", hash = "sha256:9fddd5403be01a94b204faadcff459ec3568cf110265d3c54323e1e866ad29d3"},
@@ -3166,8 +2941,6 @@ version = "2.10.2"
 description = "A Python package for easy multiprocessing, but faster than multiprocessing"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mpire-2.10.2-py3-none-any.whl", hash = "sha256:d627707f7a8d02aa4c7f7d59de399dec5290945ddf7fbd36cbb1d6ebb37a51fb"},
     {file = "mpire-2.10.2.tar.gz", hash = "sha256:f66a321e93fadff34585a4bfa05e95bd946cf714b442f51c529038eb45773d97"},
@@ -3184,9 +2957,9 @@ tqdm = ">=4.27"
 
 [package.extras]
 dashboard = ["flask"]
-dill = ["multiprocess (>=0.70.15) ; python_version >= \"3.11\"", "multiprocess ; python_version < \"3.11\""]
+dill = ["multiprocess", "multiprocess (>=0.70.15)"]
 docs = ["docutils (==0.17.1)", "sphinx (==3.2.1)", "sphinx-autodoc-typehints (==1.11.0)", "sphinx-rtd-theme (==0.5.0)", "sphinx-versions (==1.0.1)", "sphinxcontrib-images (==0.9.2)"]
-testing = ["ipywidgets", "multiprocess (>=0.70.15) ; python_version >= \"3.11\"", "multiprocess ; python_version < \"3.11\"", "numpy", "pywin32 (>=301) ; platform_system == \"Windows\"", "rich"]
+testing = ["ipywidgets", "multiprocess", "multiprocess (>=0.70.15)", "numpy", "pywin32 (>=301)", "rich"]
 
 [[package]]
 name = "mpmath"
@@ -3194,8 +2967,6 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
-groups = ["main", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -3204,122 +2975,120 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "multidict"
-version = "6.4.3"
+version = "6.4.4"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "multidict-6.4.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32a998bd8a64ca48616eac5a8c1cc4fa38fb244a3facf2eeb14abe186e0f6cc5"},
-    {file = "multidict-6.4.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a54ec568f1fc7f3c313c2f3b16e5db346bf3660e1309746e7fccbbfded856188"},
-    {file = "multidict-6.4.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a7be07e5df178430621c716a63151165684d3e9958f2bbfcb644246162007ab7"},
-    {file = "multidict-6.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b128dbf1c939674a50dd0b28f12c244d90e5015e751a4f339a96c54f7275e291"},
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 ]
 
 [package.dependencies]
 mypy_extensions = ">=1.0.0"
+pathspec = ">=0.9.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 typing_extensions = ">=4.6.0"
 
@@ -3412,8 +3178,6 @@ version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3425,8 +3189,6 @@ version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
 python-versions = ">=3.9.0"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3449,8 +3211,6 @@ version = "7.16.6"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3488,8 +3248,6 @@ version = "5.10.4"
 description = "The Jupyter Notebook format"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3511,8 +3269,6 @@ version = "1.9.1"
 description = "Run any standard Python code quality tool on a Jupyter Notebook"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3533,8 +3289,6 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3546,8 +3300,6 @@ version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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@@ -3566,8 +3318,6 @@ version = "0.2.21"
 description = "Python binding to Ammonia HTML sanitizer Rust crate"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3601,8 +3351,6 @@ version = "1.11.1.4"
 description = "Ninja is a small build system with a focus on speed"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3629,8 +3377,6 @@ version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -3642,8 +3388,6 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "constraints", "dev", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
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@@ -3689,8 +3433,6 @@ version = "2.0.2"
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 optional = false
 python-versions = ">=3.9"
-groups = ["main", "constraints", "dev", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or python_version == \"3.9\" and platform_machine != \"x86_64\""
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@@ -3741,68 +3483,66 @@ files = [
 
 [[package]]
 name = "numpy"
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+version = "2.2.6"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
-groups = ["main", "constraints", "dev", "examples", "mac_intel"]
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-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def"},
     {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2"},
@@ -3955,8 +3675,6 @@ version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
@@ -3968,8 +3686,6 @@ version = "11.3.0.4"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6"},
     {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb"},
@@ -3987,8 +3703,6 @@ version = "1.11.1.6"
 description = "cuFile GPUDirect libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159"},
     {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db"},
@@ -4000,8 +3714,6 @@ version = "10.3.2.106"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
@@ -4013,8 +3725,6 @@ version = "10.3.7.77"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8"},
     {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf"},
@@ -4029,8 +3739,6 @@ version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
@@ -4047,8 +3755,6 @@ version = "11.7.1.2"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0"},
     {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c"},
@@ -4068,8 +3774,6 @@ version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
@@ -4084,8 +3788,6 @@ version = "12.5.4.2"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887"},
     {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
@@ -4103,8 +3805,6 @@ version = "0.6.3"
 description = "NVIDIA cuSPARSELt"
 optional = false
 python-versions = "*"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1"},
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46"},
@@ -4117,8 +3817,6 @@ version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
 ]
@@ -4129,8 +3827,6 @@ version = "2.26.2"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522"},
     {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6"},
@@ -4142,8 +3838,6 @@ version = "12.6.85"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
@@ -4156,8 +3850,6 @@ version = "12.9.41"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.9.41-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:c3a2cd87cecf3f0ca5e5df97115ede3a81efec1d4b7e2ec89d13f66834042930"},
     {file = "nvidia_nvjitlink_cu12-12.9.41-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:631270891e78de08ebc669bb9ba4418b7899da9efb927fcf6fdff85c9507f54f"},
@@ -4170,8 +3862,6 @@ version = "12.1.105"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
@@ -4183,8 +3873,6 @@ version = "12.6.77"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b"},
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:adcaabb9d436c9761fca2b13959a2d237c5f9fd406c8e4b723c695409ff88059"},
@@ -4199,8 +3887,6 @@ version = "1.0.0"
 description = "A python wrapper to extract text from images on a mac system. Uses the vision framework from Apple."
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "ocrmac-1.0.0-py2.py3-none-any.whl", hash = "sha256:0b5a072aa23a9ead48132cb2d595b680aa6c3c5a6cb69525155e35ca95610c3a"},
     {file = "ocrmac-1.0.0.tar.gz", hash = "sha256:5b299e9030c973d1f60f82db000d6c2e5ff271601878c7db0885e850597d1d2e"},
@@ -4217,8 +3903,6 @@ version = "1.19.2"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = true
 python-versions = "*"
-groups = ["main"]
-markers = "python_version == \"3.9\" and extra == \"rapidocr\" or sys_platform == \"darwin\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" and extra == \"rapidocr\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\""
 files = [
     {file = "onnxruntime-1.19.2-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:84fa57369c06cadd3c2a538ae2a26d76d583e7c34bdecd5769d71ca5c0fc750e"},
     {file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdc471a66df0c1cdef774accef69e9f2ca168c851ab5e4f2f3341512c7ef4666"},
@@ -4261,8 +3945,6 @@ version = "1.22.0"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = true
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version >= \"3.10\" and extra == \"rapidocr\""
 files = [
     {file = "onnxruntime-1.22.0-cp310-cp310-macosx_13_0_universal2.whl", hash = "sha256:85d8826cc8054e4d6bf07f779dc742a363c39094015bdad6a08b3c18cfe0ba8c"},
     {file = "onnxruntime-1.22.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:468c9502a12f6f49ec335c2febd22fdceecc1e4cc96dfc27e419ba237dff5aff"},
@@ -4294,8 +3976,6 @@ version = "4.11.0.86"
 description = "Wrapper package for OpenCV python bindings."
 optional = true
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "(python_version == \"3.10\" or python_version == \"3.11\" or python_version == \"3.12\") and extra == \"rapidocr\" or python_version == \"3.9\" and extra == \"rapidocr\" or sys_platform == \"darwin\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" and extra == \"rapidocr\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\""
 files = [
     {file = "opencv-python-4.11.0.86.tar.gz", hash = "sha256:03d60ccae62304860d232272e4a4fda93c39d595780cb40b161b310244b736a4"},
     {file = "opencv_python-4.11.0.86-cp37-abi3-macosx_13_0_arm64.whl", hash = "sha256:432f67c223f1dc2824f5e73cdfcd9db0efc8710647d4e813012195dc9122a52a"},
@@ -4308,12 +3988,12 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
-    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
-    {version = ">=1.19.3", markers = "(python_version >= \"3.8\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\") and (python_version > \"3.9\" or platform_system != \"Darwin\" or platform_machine != \"arm64\")"},
+    {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
 ]
 
 [[package]]
@@ -4322,8 +4002,6 @@ version = "4.11.0.86"
 description = "Wrapper package for OpenCV python bindings."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "opencv-python-headless-4.11.0.86.tar.gz", hash = "sha256:996eb282ca4b43ec6a3972414de0e2331f5d9cda2b41091a49739c19fb843798"},
     {file = "opencv_python_headless-4.11.0.86-cp37-abi3-macosx_13_0_arm64.whl", hash = "sha256:48128188ade4a7e517237c8e1e11a9cdf5c282761473383e77beb875bb1e61ca"},
@@ -4336,12 +4014,12 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
-    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
-    {version = ">=1.19.3", markers = "(python_version >= \"3.8\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\") and (python_version > \"3.9\" or platform_system != \"Darwin\" or platform_machine != \"arm64\")"},
+    {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
 ]
 
 [[package]]
@@ -4350,8 +4028,6 @@ version = "3.1.5"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2"},
     {file = "openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050"},
@@ -4366,8 +4042,6 @@ version = "3.10.18"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_python_implementation != \"PyPy\""
 files = [
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 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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 optional = false
 python-versions = "*"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
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@@ -4555,8 +4235,6 @@ version = "2.2.2.240807"
 description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4572,8 +4250,6 @@ version = "1.5.1"
 description = "Utilities for writing pandoc filters in python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4585,8 +4261,6 @@ version = "0.8.4"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4602,21 +4276,46 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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 ]
 
+[[package]]
+name = "peft"
+version = "0.15.2"
+description = "Parameter-Efficient Fine-Tuning (PEFT)"
+optional = false
+python-versions = ">=3.9.0"
+files = [
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+    {file = "peft-0.15.2.tar.gz", hash = "sha256:7059029f4d42a092ded1aa117dd366a46084aef638bdd593f6ab0195d5427fcd"},
+]
+
+[package.dependencies]
+accelerate = ">=0.21.0"
+huggingface_hub = ">=0.25.0"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = "*"
+torch = ">=1.13.0"
+tqdm = "*"
+transformers = "*"
+
+[package.extras]
+dev = ["black", "black", "hf-doc-builder", "hf-doc-builder", "ruff (>=0.9.2,<0.10.0)"]
+docs-specific = ["black", "hf-doc-builder"]
+quality = ["black", "hf-doc-builder", "ruff (>=0.9.2,<0.10.0)"]
+test = ["black", "black", "datasets", "diffusers", "hf-doc-builder", "hf-doc-builder", "parameterized", "protobuf", "pytest", "pytest-cov", "pytest-xdist", "ruff (>=0.9.2,<0.10.0)", "scipy", "sentencepiece"]
+
 [[package]]
 name = "pexpect"
 version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
-groups = ["dev", "docs"]
-markers = "sys_platform != \"win32\""
 files = [
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@@ -4631,8 +4330,6 @@ version = "11.2.1"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4723,7 +4420,7 @@ fpx = ["olefile"]
 mic = ["olefile"]
 test-arrow = ["pyarrow"]
 tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions ; python_version < \"3.10\""]
+typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -4732,8 +4429,6 @@ version = "1.12.1.2"
 description = "Query metadata from sdists / bdists / installed packages."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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     {file = "pkginfo-1.12.1.2.tar.gz", hash = "sha256:5cd957824ac36f140260964eba3c6be6442a8359b8c48f4adf90210f33a04b7b"},
@@ -4748,8 +4443,6 @@ version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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     {file = "platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc"},
@@ -4762,20 +4455,18 @@ type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "pluggy"
-version = "1.5.0"
+version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+python-versions = ">=3.9"
 files = [
-    {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
-    {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
+    {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
+    {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
 ]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
@@ -4783,8 +4474,6 @@ version = "3.8.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pre_commit-3.8.0-py2.py3-none-any.whl", hash = "sha256:9a90a53bf82fdd8778d58085faf8d83df56e40dfe18f45b19446e26bf1b3a63f"},
     {file = "pre_commit-3.8.0.tar.gz", hash = "sha256:8bb6494d4a20423842e198980c9ecf9f96607a07ea29549e180eef9ae80fe7af"},
@@ -4803,8 +4492,6 @@ version = "3.0.51"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "prompt_toolkit-3.0.51-py3-none-any.whl", hash = "sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07"},
     {file = "prompt_toolkit-3.0.51.tar.gz", hash = "sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed"},
@@ -4819,8 +4506,6 @@ version = "0.3.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "propcache-0.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f27785888d2fdd918bc36de8b8739f2d6c791399552333721b58193f68ea3e98"},
     {file = "propcache-0.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4e89cde74154c7b5957f87a355bb9c8ec929c167b59c83d90654ea36aeb6180"},
@@ -4924,23 +4609,21 @@ files = [
 
 [[package]]
 name = "protobuf"
-version = "6.30.2"
+version = "6.31.1"
 description = ""
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
 files = [
-    {file = "protobuf-6.30.2-cp310-abi3-win32.whl", hash = "sha256:b12ef7df7b9329886e66404bef5e9ce6a26b54069d7f7436a0853ccdeb91c103"},
-    {file = "protobuf-6.30.2-cp310-abi3-win_amd64.whl", hash = "sha256:7653c99774f73fe6b9301b87da52af0e69783a2e371e8b599b3e9cb4da4b12b9"},
-    {file = "protobuf-6.30.2-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:0eb523c550a66a09a0c20f86dd554afbf4d32b02af34ae53d93268c1f73bc65b"},
-    {file = "protobuf-6.30.2-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:50f32cc9fd9cb09c783ebc275611b4f19dfdfb68d1ee55d2f0c7fa040df96815"},
-    {file = "protobuf-6.30.2-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:4f6c687ae8efae6cf6093389a596548214467778146b7245e886f35e1485315d"},
-    {file = "protobuf-6.30.2-cp39-cp39-win32.whl", hash = "sha256:524afedc03b31b15586ca7f64d877a98b184f007180ce25183d1a5cb230ee72b"},
-    {file = "protobuf-6.30.2-cp39-cp39-win_amd64.whl", hash = "sha256:acec579c39c88bd8fbbacab1b8052c793efe83a0a5bd99db4a31423a25c0a0e2"},
-    {file = "protobuf-6.30.2-py3-none-any.whl", hash = "sha256:ae86b030e69a98e08c77beab574cbcb9fff6d031d57209f574a5aea1445f4b51"},
-    {file = "protobuf-6.30.2.tar.gz", hash = "sha256:35c859ae076d8c56054c25b59e5e59638d86545ed6e2b6efac6be0b6ea3ba048"},
+    {file = "protobuf-6.31.1-cp310-abi3-win32.whl", hash = "sha256:7fa17d5a29c2e04b7d90e5e32388b8bfd0e7107cd8e616feef7ed3fa6bdab5c9"},
+    {file = "protobuf-6.31.1-cp310-abi3-win_amd64.whl", hash = "sha256:426f59d2964864a1a366254fa703b8632dcec0790d8862d30034d8245e1cd447"},
+    {file = "protobuf-6.31.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:6f1227473dc43d44ed644425268eb7c2e488ae245d51c6866d19fe158e207402"},
+    {file = "protobuf-6.31.1-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:a40fc12b84c154884d7d4c4ebd675d5b3b5283e155f324049ae396b95ddebc39"},
+    {file = "protobuf-6.31.1-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:4ee898bf66f7a8b0bd21bce523814e6fbd8c6add948045ce958b73af7e8878c6"},
+    {file = "protobuf-6.31.1-cp39-cp39-win32.whl", hash = "sha256:0414e3aa5a5f3ff423828e1e6a6e907d6c65c1d5b7e6e975793d5590bdeecc16"},
+    {file = "protobuf-6.31.1-cp39-cp39-win_amd64.whl", hash = "sha256:8764cf4587791e7564051b35524b72844f845ad0bb011704c3736cce762d8fe9"},
+    {file = "protobuf-6.31.1-py3-none-any.whl", hash = "sha256:720a6c7e6b77288b85063569baae8536671b39f15cc22037ec7045658d80489e"},
+    {file = "protobuf-6.31.1.tar.gz", hash = "sha256:d8cac4c982f0b957a4dc73a80e2ea24fab08e679c0de9deb835f4a12d69aca9a"},
 ]
-markers = {main = "extra == \"rapidocr\"", examples = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""}
 
 [[package]]
 name = "psutil"
@@ -4948,7 +4631,6 @@ version = "7.0.0"
 description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "dev", "docs"]
 files = [
     {file = "psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25"},
     {file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"},
@@ -4961,7 +4643,6 @@ files = [
     {file = "psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553"},
     {file = "psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456"},
 ]
-markers = {main = "(sys_platform != \"darwin\" or platform_machine != \"x86_64\") and extra == \"vlm\" and platform_machine == \"aarch64\" and platform_system == \"Linux\"", dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""}
 
 [package.extras]
 dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
@@ -4973,8 +4654,6 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
-groups = ["dev", "docs"]
-markers = "sys_platform != \"win32\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -4986,8 +4665,6 @@ version = "0.2.3"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
     {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
@@ -5002,8 +4679,6 @@ version = "20.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyarrow-20.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c7dd06fd7d7b410ca5dc839cc9d485d2bc4ae5240851bcd45d85105cc90a47d7"},
     {file = "pyarrow-20.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:d5382de8dc34c943249b01c19110783d0d64b207167c728461add1ecc2db88e4"},
@@ -5071,8 +4746,6 @@ version = "1.3.0.post6"
 description = "Cython wrapper for the C++ translation of the Angus Johnson's Clipper library (ver. 6.4.2)"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyclipper-1.3.0.post6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fa0f5e78cfa8262277bb3d0225537b3c2a90ef68fd90a229d5d24cf49955dcf4"},
     {file = "pyclipper-1.3.0.post6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a01f182d8938c1dc515e8508ed2442f7eebd2c25c7d5cb29281f583c1a8008a4"},
@@ -5132,8 +4805,6 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -5145,24 +4816,20 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
-markers = {dev = "implementation_name == \"pypy\" or sys_platform == \"linux\" and platform_python_implementation != \"PyPy\"", docs = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "pydantic"
-version = "2.11.4"
+version = "2.11.5"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "pydantic-2.11.4-py3-none-any.whl", hash = "sha256:d9615eaa9ac5a063471da949c8fc16376a84afb5024688b3ff885693506764eb"},
-    {file = "pydantic-2.11.4.tar.gz", hash = "sha256:32738d19d63a226a52eed76645a98ee07c1f410ee41d93b4afbfa85ed8111c2d"},
+    {file = "pydantic-2.11.5-py3-none-any.whl", hash = "sha256:f9c26ba06f9747749ca1e5c94d6a85cb84254577553c8785576fd38fa64dc0f7"},
+    {file = "pydantic-2.11.5.tar.gz", hash = "sha256:7f853db3d0ce78ce8bbb148c401c2cdd6431b3473c0cdff2755c7690952a7b7a"},
 ]
 
 [package.dependencies]
@@ -5173,7 +4840,7 @@ typing-inspection = ">=0.4.0"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
+timezone = ["tzdata"]
 
 [[package]]
 name = "pydantic-core"
@@ -5181,8 +4848,6 @@ version = "2.33.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8"},
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d"},
@@ -5294,8 +4959,6 @@ version = "2.9.1"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pydantic_settings-2.9.1-py3-none-any.whl", hash = "sha256:59b4f431b1defb26fe620c71a7d3968a710d719f5f4cdbbdb7926edeb770f6ef"},
     {file = "pydantic_settings-2.9.1.tar.gz", hash = "sha256:c509bf79d27563add44e8446233359004ed85066cd096d8b510f715e6ef5d268"},
@@ -5319,8 +4982,6 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -5332,8 +4993,6 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
     {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
@@ -5348,8 +5007,6 @@ version = "2.10"
 description = "Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pylatexenc-2.10.tar.gz", hash = "sha256:3dd8fd84eb46dc30bee1e23eaab8d8fb5a7f507347b23e5f38ad9675c84f40d3"},
 ]
@@ -5360,8 +5017,6 @@ version = "2.17.7"
 description = "python code static checker"
 optional = false
 python-versions = ">=3.7.2"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pylint-2.17.7-py3-none-any.whl", hash = "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87"},
     {file = "pylint-2.17.7.tar.gz", hash = "sha256:f4fcac7ae74cfe36bc8451e931d8438e4a476c20314b1101c458ad0f05191fad"},
@@ -5391,8 +5046,6 @@ version = "10.15"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pymdown_extensions-10.15-py3-none-any.whl", hash = "sha256:46e99bb272612b0de3b7e7caf6da8dd5f4ca5212c0b273feb9304e236c484e5f"},
     {file = "pymdown_extensions-10.15.tar.gz", hash = "sha256:0e5994e32155f4b03504f939e501b981d306daf7ec2aa1cd2eb6bd300784f8f7"},
@@ -5407,15 +5060,13 @@ extra = ["pygments (>=2.19.1)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.5.8"
+version = "2.5.10"
 description = "Python Sdk for Milvus"
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "pymilvus-2.5.8-py3-none-any.whl", hash = "sha256:6f33c9e78c041373df6a94724c90ca83448fd231aa33d6298a7a84ed2a5a0236"},
-    {file = "pymilvus-2.5.8.tar.gz", hash = "sha256:48923e7efeebcc366d32b644772796f60484e0ca1a5afc1606d21a10ed98133c"},
+    {file = "pymilvus-2.5.10-py3-none-any.whl", hash = "sha256:7da540f93068871cda3941602c55227aeaafb66f2f0d9c05e8f9db783716b100"},
+    {file = "pymilvus-2.5.10.tar.gz", hash = "sha256:cc44ad776aeab781ee4c4a4d334b73e746066ab2fb6722c5311f02efa6fc54a2"},
 ]
 
 [package.dependencies]
@@ -5438,8 +5089,6 @@ version = "11.0"
 description = "Python<->ObjC Interoperability Module"
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_core-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:10866b3a734d47caf48e456eea0d4815c2c9b21856157db5917b61dee06893a1"},
     {file = "pyobjc_core-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:50675c0bb8696fe960a28466f9baf6943df2928a1fd85625d678fa2f428bd0bd"},
@@ -5456,8 +5105,6 @@ version = "11.0"
 description = "Wrappers for the Cocoa frameworks on macOS"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_Cocoa-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fbc65f260d617d5463c7fb9dbaaffc23c9a4fabfe3b1a50b039b61870b8daefd"},
     {file = "pyobjc_framework_Cocoa-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3ea7be6e6dd801b297440de02d312ba3fa7fd3c322db747ae1cb237e975f5d33"},
@@ -5477,8 +5124,6 @@ version = "11.0"
 description = "Wrappers for the framework CoreML on macOS"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_CoreML-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87991c6ed2510e9143b5d200a946cb1f1396e321ccd4b8b22a32616333b1cf32"},
     {file = "pyobjc_framework_CoreML-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e290ad9c0ac5f057ce3885d35e33fadc115f59111f2e04f168c45e2890cb86e8"},
@@ -5499,8 +5144,6 @@ version = "11.0"
 description = "Wrappers for the Quartz frameworks on macOS"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_Quartz-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:da3ab13c9f92361959b41b0ad4cdd41ae872f90a6d8c58a9ed699bc08ab1c45c"},
     {file = "pyobjc_framework_Quartz-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d251696bfd8e8ef72fbc90eb29fec95cb9d1cc409008a183d5cc3246130ae8c2"},
@@ -5521,8 +5164,6 @@ version = "11.0"
 description = "Wrappers for the framework Vision on macOS"
 optional = true
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "sys_platform == \"darwin\" and extra == \"ocrmac\" and platform_machine == \"x86_64\""
 files = [
     {file = "pyobjc_framework_Vision-11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a6707adc9df3510686c18d4f2a6d8df234c347329edb12793459867163a61c42"},
     {file = "pyobjc_framework_Vision-11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ca7cc48332d804a02b5b17f31bed52dd4b7c323f9e4ff4b4e7ecd35d39cc0759"},
@@ -5545,8 +5186,6 @@ version = "4.30.1"
 description = "Python bindings to PDFium"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pypdfium2-4.30.1-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:e07c47633732cc18d890bb7e965ad28a9c5a932e548acb928596f86be2e5ae37"},
     {file = "pypdfium2-4.30.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:5ea2d44e96d361123b67b00f527017aa9c847c871b5714e013c01c3eb36a79fe"},
@@ -5569,8 +5208,6 @@ version = "6.1.0"
 description = "pyproject-flake8 (`pflake8`), a monkey patching wrapper to connect flake8 with pyproject.toml configuration"
 optional = false
 python-versions = ">=3.8.1"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyproject_flake8-6.1.0-py3-none-any.whl", hash = "sha256:86ea5559263c098e1aa4f866776aa2cf45362fd91a576b9fd8fbbbb55db12c4e"},
     {file = "pyproject_flake8-6.1.0.tar.gz", hash = "sha256:6da8e5a264395e0148bc11844c6fb50546f1fac83ac9210f7328664135f9e70f"},
@@ -5586,8 +5223,6 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = true
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "sys_platform == \"win32\" and extra == \"rapidocr\" and platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
     {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
@@ -5602,8 +5237,6 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -5626,8 +5259,6 @@ version = "6.1.1"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytest_cov-6.1.1-py3-none-any.whl", hash = "sha256:bddf29ed2d0ab6f4df17b4c55b0a657287db8684af9c42ea546b21b1041b3dde"},
     {file = "pytest_cov-6.1.1.tar.gz", hash = "sha256:46935f7aaefba760e716c2ebfbe1c216240b9592966e7da99ea8292d4d3e2a0a"},
@@ -5642,15 +5273,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pytest-xdist"
-version = "3.6.1"
+version = "3.7.0"
 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+python-versions = ">=3.9"
 files = [
-    {file = "pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7"},
-    {file = "pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d"},
+    {file = "pytest_xdist-3.7.0-py3-none-any.whl", hash = "sha256:7d3fbd255998265052435eb9daa4e99b62e6fb9cfb6efd1f858d4d8c0c7f0ca0"},
+    {file = "pytest_xdist-3.7.0.tar.gz", hash = "sha256:f9248c99a7c15b7d2f90715df93610353a485827bc06eefb6566d23f6400f126"},
 ]
 
 [package.dependencies]
@@ -5668,8 +5297,6 @@ version = "0.6.6"
 description = "Python Bidi layout wrapping the Rust crate unicode-bidi"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_bidi-0.6.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09d4da6b5851d0df01d7313a11d22f308fdfb0e12461f7262e0f55c521ccc0f1"},
     {file = "python_bidi-0.6.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:493a844891e23264411b01df58ba77d5dbb0045da3787f4195f50a56bfb847d9"},
@@ -5791,8 +5418,6 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -5807,8 +5432,6 @@ version = "1.1.2"
 description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"},
     {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"},
@@ -5824,8 +5447,6 @@ version = "1.1.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_dotenv-1.1.0-py3-none-any.whl", hash = "sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d"},
     {file = "python_dotenv-1.1.0.tar.gz", hash = "sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5"},
@@ -5840,8 +5461,6 @@ version = "3.15.0"
 description = "Interact with GitLab API"
 optional = false
 python-versions = ">=3.7.0"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python-gitlab-3.15.0.tar.gz", hash = "sha256:c9e65eb7612a9fbb8abf0339972eca7fd7a73d4da66c9b446ffe528930aff534"},
     {file = "python_gitlab-3.15.0-py3-none-any.whl", hash = "sha256:8f8d1c0d387f642eb1ac7bf5e8e0cd8b3dd49c6f34170cee3c7deb7d384611f3"},
@@ -5861,8 +5480,6 @@ version = "1.0.2"
 description = "Create, read, and update PowerPoint 2007+ (.pptx) files."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python_pptx-1.0.2-py3-none-any.whl", hash = "sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba"},
     {file = "python_pptx-1.0.2.tar.gz", hash = "sha256:479a8af0eaf0f0d76b6f00b0887732874ad2e3188230315290cd1f9dd9cc7095"},
@@ -5880,8 +5497,6 @@ version = "7.34.6"
 description = "Automatic Semantic Versioning for Python projects"
 optional = false
 python-versions = "*"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "python-semantic-release-7.34.6.tar.gz", hash = "sha256:e9b8fb788024ae9510a924136d573588415a16eeca31cc5240f2754a80a2e831"},
     {file = "python_semantic_release-7.34.6-py3-none-any.whl", hash = "sha256:7e3969ba4663d9b2087b02bf3ac140e202551377bf045c34e09bfe19753e19ab"},
@@ -5913,8 +5528,6 @@ version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -5926,7 +5539,6 @@ version = "310"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
-groups = ["main", "dev", "docs"]
 files = [
     {file = "pywin32-310-cp310-cp310-win32.whl", hash = "sha256:6dd97011efc8bf51d6793a82292419eba2c71cf8e7250cfac03bba284454abc1"},
     {file = "pywin32-310-cp310-cp310-win_amd64.whl", hash = "sha256:c3e78706e4229b915a0821941a84e7ef420bf2b77e08c9dae3c76fd03fd2ae3d"},
@@ -5945,7 +5557,6 @@ files = [
     {file = "pywin32-310-cp39-cp39-win32.whl", hash = "sha256:851c8d927af0d879221e616ae1f66145253537bbdd321a77e8ef701b443a9a1a"},
     {file = "pywin32-310-cp39-cp39-win_amd64.whl", hash = "sha256:96867217335559ac619f00ad70e513c0fcf84b8a3af9fc2bba3b59b97da70475"},
 ]
-markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\" and platform_system == \"Linux\" and platform_machine == \"aarch64\"", docs = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\" and platform_system == \"Linux\" and platform_machine == \"aarch64\""}
 
 [[package]]
 name = "pywin32-ctypes"
@@ -5953,8 +5564,6 @@ version = "0.2.3"
 description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
-markers = "sys_platform == \"win32\""
 files = [
     {file = "pywin32-ctypes-0.2.3.tar.gz", hash = "sha256:d162dc04946d704503b2edc4d55f3dba5c1d539ead017afa00142c38b9885755"},
     {file = "pywin32_ctypes-0.2.3-py3-none-any.whl", hash = "sha256:8a1513379d709975552d202d942d9837758905c8d01eb82b8bcc30918929e7b8"},
@@ -5966,8 +5575,6 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -6026,15 +5633,13 @@ files = [
 
 [[package]]
 name = "pyyaml-env-tag"
-version = "1.0"
+version = "1.1"
 description = "A custom YAML tag for referencing environment variables in YAML files."
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "pyyaml_env_tag-1.0-py3-none-any.whl", hash = "sha256:37f081041b8dca44ed8eb931ce0056f97de17251450f0ed08773dc2bcaf9e683"},
-    {file = "pyyaml_env_tag-1.0.tar.gz", hash = "sha256:bc952534a872b583f66f916e2dd83e7a7b9087847f4afca6d9c957c48b258ed2"},
+    {file = "pyyaml_env_tag-1.1-py3-none-any.whl", hash = "sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04"},
+    {file = "pyyaml_env_tag-1.1.tar.gz", hash = "sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff"},
 ]
 
 [package.dependencies]
@@ -6046,8 +5651,6 @@ version = "26.4.0"
 description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "pyzmq-26.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:0329bdf83e170ac133f44a233fc651f6ed66ef8e66693b5af7d54f45d1ef5918"},
     {file = "pyzmq-26.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:398a825d2dea96227cf6460ce0a174cf7657d6f6827807d4d1ae9d0f9ae64315"},
@@ -6153,8 +5756,6 @@ version = "1.4.4"
 description = "A cross platform OCR Library based on OnnxRuntime."
 optional = true
 python-versions = "<3.13,>=3.6"
-groups = ["main"]
-markers = "(python_version == \"3.10\" or python_version == \"3.11\" or python_version == \"3.12\") and extra == \"rapidocr\" or python_version == \"3.9\" and extra == \"rapidocr\" or sys_platform == \"darwin\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" and extra == \"rapidocr\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and extra == \"rapidocr\" and platform_system == \"Linux\""
 files = [
     {file = "rapidocr_onnxruntime-1.4.4-py3-none-any.whl", hash = "sha256:971d7d5f223a7a808662229df1ef69893809d8457d834e6373d3854bc1782cbf"},
 ]
@@ -6176,8 +5777,6 @@ version = "44.0"
 description = "readme_renderer is a library for rendering readme descriptions for Warehouse"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
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 build = ["Cython (>=3.0.4)", "build", "meson-python (>=0.15)", "ninja", "numpy (>=2.0.0rc1)", "packaging (>=21)", "pythran", "setuptools (>=67)", "spin (==0.8)", "wheel"]
 data = ["pooch (>=1.6.0)"]
-developer = ["ipython", "pre-commit", "tomli ; python_version < \"3.11\""]
+developer = ["ipython", "pre-commit", "tomli"]
 docs = ["PyWavelets (>=1.1.1)", "dask[array] (>=2022.9.2)", "ipykernel", "ipywidgets", "kaleido", "matplotlib (>=3.6)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=1.5)", "plotly (>=5.10)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.15.2)", "pytest-doctestplus", "pytest-runner", "scikit-learn (>=1.1)", "seaborn (>=0.11)", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-gallery (>=0.14)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
 optional = ["PyWavelets (>=1.1.1)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=0.2.1)", "dask[array] (>=2021.1.0)", "matplotlib (>=3.6)", "pooch (>=1.6.0)", "pyamg", "scikit-learn (>=1.1)"]
 test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-cov (>=2.11.0)", "pytest-doctestplus", "pytest-faulthandler", "pytest-localserver"]
@@ -6635,8 +6217,6 @@ version = "1.6.1"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e"},
     {file = "scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36"},
@@ -6691,8 +6271,6 @@ version = "1.13.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
-markers = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""
 files = [
     {file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"},
     {file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"},
@@ -6735,8 +6313,6 @@ version = "1.15.3"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
-groups = ["main", "examples"]
-markers = "python_version >= \"3.10\""
 files = [
     {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"},
     {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"},
@@ -6792,7 +6368,7 @@ numpy = ">=1.23.5,<2.5"
 [package.extras]
 dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
 doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "secretstorage"
@@ -6800,8 +6376,6 @@ version = "3.3.3"
 description = "Python bindings to FreeDesktop.org Secret Service API"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
-markers = "sys_platform == \"linux\""
 files = [
     {file = "SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99"},
     {file = "SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77"},
@@ -6817,8 +6391,6 @@ version = "2.2.2"
 description = "A fast and lightweight Python library for splitting text into semantically meaningful chunks."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "semchunk-2.2.2-py3-none-any.whl", hash = "sha256:94ca19020c013c073abdfd06d79a7c13637b91738335f3b8cdb5655ee7cc94d2"},
     {file = "semchunk-2.2.2.tar.gz", hash = "sha256:940e89896e64eeb01de97ba60f51c8c7b96c6a3951dfcf574f25ce2146752f52"},
@@ -6834,8 +6406,6 @@ version = "2.13.0"
 description = "Python helper for Semantic Versioning (http://semver.org/)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "semver-2.13.0-py2.py3-none-any.whl", hash = "sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4"},
     {file = "semver-2.13.0.tar.gz", hash = "sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f"},
@@ -6847,8 +6417,6 @@ version = "4.1.0"
 description = "Embeddings, Retrieval, and Reranking"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "sentence_transformers-4.1.0-py3-none-any.whl", hash = "sha256:382a7f6be1244a100ce40495fb7523dbe8d71b3c10b299f81e6b735092b3b8ca"},
     {file = "sentence_transformers-4.1.0.tar.gz", hash = "sha256:f125ffd1c727533e0eca5d4567de72f84728de8f7482834de442fd90c2c3d50b"},
@@ -6873,25 +6441,23 @@ train = ["accelerate (>=0.20.3)", "datasets"]
 
 [[package]]
 name = "setuptools"
-version = "80.4.0"
+version = "80.9.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples", "mac_intel"]
 files = [
-    {file = "setuptools-80.4.0-py3-none-any.whl", hash = "sha256:6cdc8cb9a7d590b237dbe4493614a9b75d0559b888047c1f67d49ba50fc3edb2"},
-    {file = "setuptools-80.4.0.tar.gz", hash = "sha256:5a78f61820bc088c8e4add52932ae6b8cf423da2aff268c23f813cfbb13b4006"},
+    {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"},
+    {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"},
 ]
-markers = {main = "sys_platform != \"darwin\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or sys_platform != \"darwin\" and python_version >= \"3.12\" or platform_machine != \"x86_64\" and python_version >= \"3.12\"", examples = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", mac_intel = "sys_platform != \"darwin\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or sys_platform != \"darwin\" and python_version >= \"3.12\" or platform_machine != \"x86_64\" and python_version >= \"3.12\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
-core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
+core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "shapely"
@@ -6899,8 +6465,6 @@ version = "2.0.7"
 description = "Manipulation and analysis of geometric objects"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "shapely-2.0.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:33fb10e50b16113714ae40adccf7670379e9ccf5b7a41d0002046ba2b8f0f691"},
     {file = "shapely-2.0.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f44eda8bd7a4bccb0f281264b34bf3518d8c4c9a8ffe69a1a05dabf6e8461147"},
@@ -6959,8 +6523,6 @@ version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -6972,8 +6534,6 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -6985,8 +6545,6 @@ version = "5.0.2"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"},
     {file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"},
@@ -6998,8 +6556,6 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -7011,8 +6567,6 @@ version = "2.7"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4"},
     {file = "soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a"},
@@ -7024,8 +6578,6 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -7045,8 +6597,6 @@ version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"},
     {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
@@ -7064,8 +6614,6 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -7080,8 +6628,6 @@ version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
     {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
@@ -7097,8 +6643,6 @@ version = "2.8.0"
 description = "A simple, Pillow-friendly, Python wrapper around tesseract-ocr API using Cython"
 optional = true
 python-versions = "*"
-groups = ["main"]
-markers = "extra == \"tesserocr\""
 files = [
     {file = "tesserocr-2.8.0-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:b5d5dcabe688bf7bb76f87eef05783aa1d305c9566b7f6f6735a12f224ca379b"},
     {file = "tesserocr-2.8.0-cp310-cp310-macosx_15_0_arm64.whl", hash = "sha256:55d0e018d34054fa7f875cd126abaf423de4069fde49d638a399de530949055b"},
@@ -7134,8 +6678,6 @@ version = "3.6.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
     {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
@@ -7147,8 +6689,6 @@ version = "2024.8.30"
 description = "Read and write TIFF files"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tifffile-2024.8.30-py3-none-any.whl", hash = "sha256:8bc59a8f02a2665cd50a910ec64961c5373bee0b8850ec89d3b7b485bf7be7ad"},
     {file = "tifffile-2024.8.30.tar.gz", hash = "sha256:2c9508fe768962e30f87def61819183fb07692c258cb175b3c114828368485a4"},
@@ -7171,8 +6711,6 @@ version = "1.4.0"
 description = "A tiny CSS parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"},
     {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"},
@@ -7187,15 +6725,13 @@ test = ["pytest", "ruff"]
 
 [[package]]
 name = "tokenize-rt"
-version = "6.1.0"
+version = "6.2.0"
 description = "A wrapper around the stdlib `tokenize` which roundtrips."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "tokenize_rt-6.1.0-py2.py3-none-any.whl", hash = "sha256:d706141cdec4aa5f358945abe36b911b8cbdc844545da99e811250c0cee9b6fc"},
-    {file = "tokenize_rt-6.1.0.tar.gz", hash = "sha256:e8ee836616c0877ab7c7b54776d2fefcc3bde714449a206762425ae114b53c86"},
+    {file = "tokenize_rt-6.2.0-py2.py3-none-any.whl", hash = "sha256:a152bf4f249c847a66497a4a95f63376ed68ac6abf092a2f7cfb29d044ecff44"},
+    {file = "tokenize_rt-6.2.0.tar.gz", hash = "sha256:8439c042b330c553fdbe1758e4a05c0ed460dbbbb24a606f11f0dee75da4cad6"},
 ]
 
 [[package]]
@@ -7204,8 +6740,6 @@ version = "0.19.1"
 description = ""
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "examples"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
     {file = "tokenizers-0.19.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:952078130b3d101e05ecfc7fc3640282d74ed26bcf691400f872563fca15ac97"},
     {file = "tokenizers-0.19.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:82c8b8063de6c0468f08e82c4e198763e7b97aabfe573fd4cf7b33930ca4df77"},
@@ -7323,8 +6857,6 @@ version = "0.21.1"
 description = ""
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
-markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" or python_version >= \"3.13\""
 files = [
     {file = "tokenizers-0.21.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41"},
     {file = "tokenizers-0.21.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:cd51cd0a91ecc801633829fcd1fda9cf8682ed3477c6243b9a095539de4aecf3"},
@@ -7357,7 +6889,6 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -7392,7 +6923,6 @@ files = [
     {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
     {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
 ]
-markers = {dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\" or python_version == \"3.10\""}
 
 [[package]]
 name = "tomlkit"
@@ -7400,8 +6930,6 @@ version = "0.13.2"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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     {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
@@ -7413,8 +6941,6 @@ version = "2.2.2"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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     {file = "torch-2.2.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:15dffa4cc3261fa73d02f0ed25f5fa49ecc9e12bf1ae0a4c1e7a88bbfaad9030"},
@@ -7473,8 +6999,6 @@ version = "2.7.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.9.0"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\""
 files = [
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     {file = "torch-2.7.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:0b9960183b6e5b71239a3e6c883d8852c304e691c0b2955f7045e8a6d05b9183"},
@@ -7536,8 +7060,6 @@ version = "0.17.2"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
     {file = "torchvision-0.17.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:1f2910fe3c21ad6875b2720d46fad835b2e4b336e9553d31ca364d24c90b1d4f"},
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@@ -7580,8 +7102,6 @@ version = "0.22.0"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "mac_intel"]
-markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\""
 files = [
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@@ -7620,24 +7140,23 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tornado"
-version = "6.4.2"
+version = "6.5.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
-python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+python-versions = ">=3.9"
 files = [
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+    {file = "tornado-6.5.1-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5cae6145f4cdf5ab24744526cc0f55a17d76f02c98f4cff9daa08ae9a217448a"},
+    {file = "tornado-6.5.1-cp39-abi3-win32.whl", hash = "sha256:e0a36e1bc684dca10b1aa75a31df8bdfed656831489bc1e6a6ebed05dc1ec365"},
+    {file = "tornado-6.5.1-cp39-abi3-win_amd64.whl", hash = "sha256:908e7d64567cecd4c2b458075589a775063453aeb1d2a1853eedb806922f568b"},
+    {file = "tornado-6.5.1-cp39-abi3-win_arm64.whl", hash = "sha256:02420a0eb7bf617257b9935e2b754d1b63897525d8a289c9d65690d580b4dcf7"},
+    {file = "tornado-6.5.1.tar.gz", hash = "sha256:84ceece391e8eb9b2b95578db65e920d2a61070260594819589609ba9bc6308c"},
 ]
 
 [[package]]
@@ -7646,8 +7165,6 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -7669,8 +7186,6 @@ version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -7686,8 +7201,6 @@ version = "4.42.4"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["main", "examples"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
     {file = "transformers-4.42.4-py3-none-any.whl", hash = "sha256:6d59061392d0f1da312af29c962df9017ff3c0108c681a56d1bc981004d16d24"},
     {file = "transformers-4.42.4.tar.gz", hash = "sha256:f956e25e24df851f650cb2c158b6f4352dfae9d702f04c113ed24fc36ce7ae2d"},
@@ -7752,15 +7265,13 @@ vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "transformers"
-version = "4.51.3"
+version = "4.52.4"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
-groups = ["main", "examples"]
-markers = "sys_platform != \"darwin\" or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" or python_version >= \"3.13\""
 files = [
-    {file = "transformers-4.51.3-py3-none-any.whl", hash = "sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83"},
-    {file = "transformers-4.51.3.tar.gz", hash = "sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409"},
+    {file = "transformers-4.52.4-py3-none-any.whl", hash = "sha256:203f5c19416d5877e36e88633943761719538a25d9775977a24fe77a1e5adfc7"},
+    {file = "transformers-4.52.4.tar.gz", hash = "sha256:aff3764441c1adc192a08dba49740d3cbbcb72d850586075aed6bd89b98203e6"},
 ]
 
 [package.dependencies]
@@ -7777,22 +7288,21 @@ tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
-agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=2.0)"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.3.2,<0.4)", "librosa", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.4.4,<0.5)", "librosa", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
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 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
 hf-xet = ["hf-xet"]
-hub-kernels = ["kernels (>=0.3.2,<0.4)"]
-integrations = ["kernels (>=0.3.2,<0.4)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+hub-kernels = ["kernels (>=0.4.4,<0.5)"]
+integrations = ["kernels (>=0.4.4,<0.5)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
 natten = ["natten (>=0.14.6,<0.15.0)"]
@@ -7810,17 +7320,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=1.0.11)"]
 tokenizers = ["tokenizers (>=0.21,<0.22)"]
-torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
+torch = ["accelerate (>=0.26.0)", "torch (>=2.1,<2.7)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "tqdm (>=4.27)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -7830,8 +7340,6 @@ version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\" and python_version < \"3.12\""
 files = [
     {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
     {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
@@ -7855,8 +7363,6 @@ version = "3.3.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
-groups = ["main", "examples", "mac_intel"]
-markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "triton-3.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fad99beafc860501d7fcc1fb7045d9496cbe2c882b1674640304949165a916e7"},
     {file = "triton-3.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3161a2bf073d6b22c4e2f33f951f3e5e3001462b2570e6df9cd57565bdec2984"},
@@ -7880,8 +7386,6 @@ version = "3.8.0"
 description = "Collection of utilities for publishing packages on PyPI"
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "twine-3.8.0-py3-none-any.whl", hash = "sha256:d0550fca9dc19f3d5e8eadfce0c227294df0a2a951251a4385797c8a6198b7c8"},
     {file = "twine-3.8.0.tar.gz", hash = "sha256:8efa52658e0ae770686a13b675569328f1fba9837e5de1867bfe5f46a9aefe19"},
@@ -7901,60 +7405,52 @@ urllib3 = ">=1.26.0"
 
 [[package]]
 name = "typer"
-version = "0.15.3"
+version = "0.15.4"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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-    {file = "typer-0.15.3.tar.gz", hash = "sha256:818873625d0569653438316567861899f7e9972f2e6e0c16dab608345ced713c"},
+    {file = "typer-0.15.4-py3-none-any.whl", hash = "sha256:eb0651654dcdea706780c466cf06d8f174405a659ffff8f163cfbfee98c0e173"},
+    {file = "typer-0.15.4.tar.gz", hash = "sha256:89507b104f9b6a0730354f27c39fae5b63ccd0c95b1ce1f1a6ba0cfd329997c3"},
 ]
 
 [package.dependencies]
-click = ">=8.0.0"
+click = ">=8.0.0,<8.2"
 rich = ">=10.11.0"
 shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-openpyxl"
-version = "3.1.5.20250506"
+version = "3.1.5.20250602"
 description = "Typing stubs for openpyxl"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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-    {file = "types_openpyxl-3.1.5.20250506.tar.gz", hash = "sha256:c82d748895dbedd59ef36ba6b0079c588c4d1d302311b406752845c83aa4c707"},
+    {file = "types_openpyxl-3.1.5.20250602-py3-none-any.whl", hash = "sha256:1f82211e086902318f6a14b5d8d865102362fda7cb82f3d63ac4dff47a1f164b"},
+    {file = "types_openpyxl-3.1.5.20250602.tar.gz", hash = "sha256:d19831482022fc933780d6e9d6990464c18c2ec5f14786fea862f72c876980b5"},
 ]
 
 [[package]]
 name = "types-pytz"
-version = "2025.2.0.20250326"
+version = "2025.2.0.20250516"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "types_pytz-2025.2.0.20250326-py3-none-any.whl", hash = "sha256:3c397fd1b845cd2b3adc9398607764ced9e578a98a5d1fbb4a9bc9253edfb162"},
-    {file = "types_pytz-2025.2.0.20250326.tar.gz", hash = "sha256:deda02de24f527066fc8d6a19e284ab3f3ae716a42b4adb6b40e75e408c08d36"},
+    {file = "types_pytz-2025.2.0.20250516-py3-none-any.whl", hash = "sha256:e0e0c8a57e2791c19f718ed99ab2ba623856b11620cb6b637e5f62ce285a7451"},
+    {file = "types_pytz-2025.2.0.20250516.tar.gz", hash = "sha256:e1216306f8c0d5da6dafd6492e72eb080c9a166171fa80dd7a1990fd8be7a7b3"},
 ]
 
 [[package]]
 name = "types-requests"
-version = "2.32.0.20250328"
+version = "2.32.0.20250602"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "types_requests-2.32.0.20250328-py3-none-any.whl", hash = "sha256:72ff80f84b15eb3aa7a8e2625fffb6a93f2ad5a0c20215fc1dcfa61117bcb2a2"},
-    {file = "types_requests-2.32.0.20250328.tar.gz", hash = "sha256:c9e67228ea103bd811c96984fac36ed2ae8da87a36a633964a21f199d60baf32"},
+    {file = "types_requests-2.32.0.20250602-py3-none-any.whl", hash = "sha256:f4f335f87779b47ce10b8b8597b409130299f6971ead27fead4fe7ba6ea3e726"},
+    {file = "types_requests-2.32.0.20250602.tar.gz", hash = "sha256:ee603aeefec42051195ae62ca7667cd909a2f8128fdf8aad9e8a5219ecfab3bf"},
 ]
 
 [package.dependencies]
@@ -7962,15 +7458,13 @@ urllib3 = ">=2"
 
 [[package]]
 name = "types-tqdm"
-version = "4.67.0.20250513"
+version = "4.67.0.20250516"
 description = "Typing stubs for tqdm"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "types_tqdm-4.67.0.20250513-py3-none-any.whl", hash = "sha256:73d2bdac28bab49235d8660aece6c415636a0fb406f7a24b39737dfc6bf6a5dd"},
-    {file = "types_tqdm-4.67.0.20250513.tar.gz", hash = "sha256:907028c8d0a8fc20072132cd0cee72a3b6c72abf32f5ff914a7749e7d13b351e"},
+    {file = "types_tqdm-4.67.0.20250516-py3-none-any.whl", hash = "sha256:1dd9b2c65273f2342f37e5179bc6982df86b6669b3376efc12aef0a29e35d36d"},
+    {file = "types_tqdm-4.67.0.20250516.tar.gz", hash = "sha256:230ccab8a332d34f193fc007eb132a6ef54b4512452e718bf21ae0a7caeb5a6b"},
 ]
 
 [package.dependencies]
@@ -7982,8 +7476,6 @@ version = "4.13.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "docs", "examples", "mac_intel"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
     {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
@@ -7991,15 +7483,13 @@ files = [
 
 [[package]]
 name = "typing-inspection"
-version = "0.4.0"
+version = "0.4.1"
 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
-    {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
+    {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
+    {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
 ]
 
 [package.dependencies]
@@ -8011,8 +7501,6 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
-groups = ["main", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -8024,8 +7512,6 @@ version = "5.10.0"
 description = "Ultra fast JSON encoder and decoder for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd"},
     {file = "ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf"},
@@ -8113,15 +7599,13 @@ version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev", "docs", "examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
     {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -8132,8 +7616,6 @@ version = "20.31.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "virtualenv-20.31.2-py3-none-any.whl", hash = "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11"},
     {file = "virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"},
@@ -8146,7 +7628,7 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "watchdog"
@@ -8154,8 +7636,6 @@ version = "6.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.9"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"},
     {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"},
@@ -8198,8 +7678,6 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
-groups = ["dev", "docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -8211,8 +7689,6 @@ version = "0.5.1"
 description = "Character encoding aliases for legacy web content"
 optional = false
 python-versions = "*"
-groups = ["docs"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -8224,8 +7700,6 @@ version = "0.45.1"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"},
     {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"},
@@ -8240,8 +7714,6 @@ version = "4.0.14"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "widgetsnbextension-4.0.14-py3-none-any.whl", hash = "sha256:4875a9eaf72fbf5079dc372a51a9f268fc38d46f767cbf85c43a36da5cb9b575"},
     {file = "widgetsnbextension-4.0.14.tar.gz", hash = "sha256:a3629b04e3edb893212df862038c7232f62973373869db5084aed739b437b5af"},
@@ -8253,8 +7725,6 @@ version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"},
@@ -8343,8 +7813,6 @@ version = "3.2.3"
 description = "A Python module for creating Excel XLSX files."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "XlsxWriter-3.2.3-py3-none-any.whl", hash = "sha256:593f8296e8a91790c6d0378ab08b064f34a642b3feb787cf6738236bd0a4860d"},
     {file = "xlsxwriter-3.2.3.tar.gz", hash = "sha256:ad6fd41bdcf1b885876b1f6b7087560aecc9ae5a9cc2ba97dcac7ab2e210d3d5"},
@@ -8356,8 +7824,6 @@ version = "3.5.0"
 description = "Python binding for xxHash"
 optional = false
 python-versions = ">=3.7"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"},
     {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"},
@@ -8490,8 +7956,6 @@ version = "1.20.0"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
-groups = ["examples"]
-markers = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22"},
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85a231fa250dfa3308f3c7896cc007a47bc76e9e8e8595c20b7426cac4884c62"},
@@ -8606,23 +8070,21 @@ propcache = ">=0.2.1"
 
 [[package]]
 name = "zipp"
-version = "3.21.0"
+version = "3.22.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev", "docs"]
 files = [
-    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
-    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+    {file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343"},
+    {file = "zipp-3.22.0.tar.gz", hash = "sha256:dd2f28c3ce4bc67507bfd3781d21b7bb2be31103b51a4553ad7d90b84e57ace5"},
 ]
-markers = {dev = "platform_system == \"Linux\" and sys_platform == \"darwin\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or platform_machine == \"aarch64\" and platform_system == \"Linux\" or platform_machine == \"x86_64\" and sys_platform == \"darwin\"", docs = "sys_platform != \"darwin\" and python_version == \"3.9\" or platform_machine == \"aarch64\" and python_version < \"3.10\" and platform_system == \"Linux\" or platform_machine != \"x86_64\" and python_version == \"3.9\" or sys_platform == \"darwin\" and platform_machine == \"x86_64\" and python_version < \"3.10\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib_resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -8632,6 +8094,6 @@ tesserocr = ["tesserocr"]
 vlm = ["accelerate", "transformers", "transformers"]
 
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "6e09692aaf6c33d67952eb51d2a6db189aa8f6f56e7403225f3083dcb3831971"
+content-hash = "dbeb8d04c6b30dfc45a871591cfa583cdbbbd397e6b8d7790714b1c40e49e11e"
diff --git a/pyproject.toml b/pyproject.toml
index 7b5c6e39..74db8359 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -151,6 +151,11 @@ torchvision = [
   { markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "~0.17.2" },
 ]
 
+
+[tool.poetry.group.lm.dependencies]
+peft = "^0.15.2"
+backoff = "^2.2.1"
+
 [tool.poetry.extras]
 tesserocr = ["tesserocr"]
 ocrmac = ["ocrmac"]
diff --git a/tests/test_e2e_conversion.py b/tests/test_e2e_conversion.py
index 5dc2e89a..93655527 100644
--- a/tests/test_e2e_conversion.py
+++ b/tests/test_e2e_conversion.py
@@ -1,9 +1,10 @@
 from pathlib import Path
 
 from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
+from docling.datamodel.accelerator_options import AcceleratorDevice
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.document import ConversionResult
-from docling.datamodel.pipeline_options import AcceleratorDevice, PdfPipelineOptions
+from docling.datamodel.pipeline_options import PdfPipelineOptions
 from docling.document_converter import DocumentConverter, PdfFormatOption
 
 from .test_data_gen_flag import GEN_TEST_DATA
diff --git a/tests/test_e2e_ocr_conversion.py b/tests/test_e2e_ocr_conversion.py
index af6e62ce..b34824a1 100644
--- a/tests/test_e2e_ocr_conversion.py
+++ b/tests/test_e2e_ocr_conversion.py
@@ -3,10 +3,10 @@ from pathlib import Path
 from typing import List, Tuple
 
 from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
+from docling.datamodel.accelerator_options import AcceleratorDevice
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
     EasyOcrOptions,
     OcrMacOptions,
     OcrOptions,
diff --git a/tests/test_options.py b/tests/test_options.py
index 7addda4b..a0835d1c 100644
--- a/tests/test_options.py
+++ b/tests/test_options.py
@@ -7,11 +7,10 @@ from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
 from docling.backend.docling_parse_v2_backend import DoclingParseV2DocumentBackend
 from docling.backend.docling_parse_v4_backend import DoclingParseV4DocumentBackend
 from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
+from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.base_models import ConversionStatus, InputFormat, QualityGrade
 from docling.datamodel.document import ConversionResult
 from docling.datamodel.pipeline_options import (
-    AcceleratorDevice,
-    AcceleratorOptions,
     PdfPipelineOptions,
     TableFormerMode,
 )