mirror of
https://github.com/DS4SD/docling.git
synced 2025-07-31 14:34:40 +00:00
Merge remote-tracking branch 'origin/main' into rapidocr
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
This commit is contained in:
Michele Dolfi
commit
c228f34f44
11
CHANGELOG.md
11
CHANGELOG.md
@ -1,3 +1,14 @@
|
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## [v2.7.1](https://github.com/DS4SD/docling/releases/tag/v2.7.1) - 2024-11-26
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### Fix
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||||
* Fixes for wordx ([#432](https://github.com/DS4SD/docling/issues/432)) ([`d0a1180`](https://github.com/DS4SD/docling/commit/d0a118047804765b1b8532e72e08272e678c0c93))
|
||||
* Force pydantic < 2.10.0 ([#407](https://github.com/DS4SD/docling/issues/407)) ([`d7072b4`](https://github.com/DS4SD/docling/commit/d7072b4b56227756eb2c7abd3a6e7387eeefe7c1))
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### Documentation
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* Add DocETL, Kotaemon, spaCy integrations; minor docs improvements ([#408](https://github.com/DS4SD/docling/issues/408)) ([`7a45b92`](https://github.com/DS4SD/docling/commit/7a45b92078b3a9fdd8f0650002eddc03e9d780af))
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## [v2.7.0](https://github.com/DS4SD/docling/releases/tag/v2.7.0) - 2024-11-20
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### Feature
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@ -14,7 +14,8 @@ from docling_core.types.doc import (
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TableData,
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)
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from lxml import etree
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from PIL import Image
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from lxml.etree import XPath
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from PIL import Image, UnidentifiedImageError
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from docling.backend.abstract_backend import DeclarativeDocumentBackend
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from docling.datamodel.base_models import InputFormat
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@ -132,8 +133,14 @@ class MsWordDocumentBackend(DeclarativeDocumentBackend):
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def walk_linear(self, body, docx_obj, doc) -> DoclingDocument:
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for element in body:
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tag_name = etree.QName(element).localname
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# Check for Inline Images (blip elements)
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drawing_blip = element.xpath(".//a:blip")
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namespaces = {
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"a": "http://schemas.openxmlformats.org/drawingml/2006/main",
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"r": "http://schemas.openxmlformats.org/officeDocument/2006/relationships",
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}
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xpath_expr = XPath(".//a:blip", namespaces=namespaces)
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drawing_blip = xpath_expr(element)
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# Check for Tables
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if element.tag.endswith("tbl"):
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@ -210,7 +217,6 @@ class MsWordDocumentBackend(DeclarativeDocumentBackend):
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paragraph = docx.text.paragraph.Paragraph(element, docx_obj)
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if paragraph.text is None:
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# _log.warn(f"paragraph has text==None")
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return
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text = paragraph.text.strip()
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# if len(text)==0 # keep empty paragraphs, they seperate adjacent lists!
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@ -502,10 +508,17 @@ class MsWordDocumentBackend(DeclarativeDocumentBackend):
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image_data = get_docx_image(element, drawing_blip)
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image_bytes = BytesIO(image_data)
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# Open the BytesIO object with PIL to create an Image
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pil_image = Image.open(image_bytes)
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doc.add_picture(
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parent=self.parents[self.level],
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image=ImageRef.from_pil(image=pil_image, dpi=72),
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caption=None,
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)
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try:
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pil_image = Image.open(image_bytes)
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doc.add_picture(
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parent=self.parents[self.level],
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image=ImageRef.from_pil(image=pil_image, dpi=72),
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caption=None,
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)
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except (UnidentifiedImageError, OSError) as e:
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_log.warning("Warning: image cannot be loaded by Pillow")
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doc.add_picture(
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parent=self.parents[self.level],
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caption=None,
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)
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return
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616
poetry.lock
generated
616
poetry.lock
generated
@ -896,13 +896,13 @@ files = [
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||||
|
||||
[[package]]
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||||
name = "docling-core"
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||||
version = "2.4.1"
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||||
version = "2.5.0"
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||||
description = "A python library to define and validate data types in Docling."
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optional = false
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||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "docling_core-2.4.1-py3-none-any.whl", hash = "sha256:d76f623f55e48ac4b2d5cda8388d039043d150baf5b1b24577189bfac6bf7475"},
|
||||
{file = "docling_core-2.4.1.tar.gz", hash = "sha256:5656950aef376a3c77666778c0e3905496eb1aae5da4de1d6e750fbfc4be414c"},
|
||||
{file = "docling_core-2.5.0-py3-none-any.whl", hash = "sha256:7694f89e10b46a4e85af74b8ead1b67b79a775993ac2207860d349eb70270b03"},
|
||||
{file = "docling_core-2.5.0.tar.gz", hash = "sha256:41e9e24afc749bc4dd8751d845b1ad2dd699432c1af0513f3ed888c5d59114af"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -911,6 +911,7 @@ jsonschema = ">=4.16.0,<5.0.0"
|
||||
pandas = ">=2.1.4,<3.0.0"
|
||||
pillow = ">=10.3.0,<11.0.0"
|
||||
pydantic = ">=2.6.0,<2.10"
|
||||
pyyaml = ">=5.1,<7.0.0"
|
||||
tabulate = ">=0.9.0,<0.10.0"
|
||||
|
||||
[[package]]
|
||||
@ -1034,27 +1035,6 @@ Shapely = "*"
|
||||
torch = "*"
|
||||
torchvision = ">=0.5"
|
||||
|
||||
[[package]]
|
||||
name = "environs"
|
||||
version = "9.5.0"
|
||||
description = "simplified environment variable parsing"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "environs-9.5.0-py2.py3-none-any.whl", hash = "sha256:1e549569a3de49c05f856f40bce86979e7d5ffbbc4398e7f338574c220189124"},
|
||||
{file = "environs-9.5.0.tar.gz", hash = "sha256:a76307b36fbe856bdca7ee9161e6c466fd7fcffc297109a118c59b54e27e30c9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
marshmallow = ">=3.0.0"
|
||||
python-dotenv = "*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["dj-database-url", "dj-email-url", "django-cache-url", "flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)", "pytest", "tox"]
|
||||
django = ["dj-database-url", "dj-email-url", "django-cache-url"]
|
||||
lint = ["flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)"]
|
||||
tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "et-xmlfile"
|
||||
version = "2.0.0"
|
||||
@ -1387,70 +1367,70 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
|
||||
|
||||
[[package]]
|
||||
name = "grpcio"
|
||||
version = "1.68.0"
|
||||
version = "1.67.1"
|
||||
description = "HTTP/2-based RPC framework"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
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||||
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||||
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||||
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||||
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||||
]
|
||||
|
||||
[package.extras]
|
||||
protobuf = ["grpcio-tools (>=1.68.0)"]
|
||||
protobuf = ["grpcio-tools (>=1.67.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
@ -1559,13 +1539,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
|
||||
|
||||
[[package]]
|
||||
name = "identify"
|
||||
version = "2.6.2"
|
||||
version = "2.6.3"
|
||||
description = "File identification library for Python"
|
||||
optional = false
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||||
python-versions = ">=3.9"
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||||
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||||
|
||||
[package.extras]
|
||||
@ -2168,13 +2148,13 @@ langchain-core = ">=0.2.38,<0.3.0"
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.145"
|
||||
version = "0.1.146"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
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||||
[package.dependencies]
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||||
@ -2534,25 +2514,6 @@ files = [
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||||
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||||
|
||||
[[package]]
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||||
name = "marshmallow"
|
||||
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|
||||
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
|
||||
optional = false
|
||||
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
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|
||||
|
||||
[package.extras]
|
||||
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
|
||||
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|
||||
tests = ["pytest", "simplejson"]
|
||||
|
||||
[[package]]
|
||||
name = "matplotlib-inline"
|
||||
version = "0.1.7"
|
||||
@ -2730,13 +2691,13 @@ pygments = ">2.12.0"
|
||||
|
||||
[[package]]
|
||||
name = "mkdocs-material"
|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
@ -3303,6 +3264,18 @@ files = [
|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
python-versions = ">=3"
|
||||
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|
||||
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-cupti-cu12"
|
||||
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|
||||
@ -3314,6 +3287,18 @@ files = [
|
||||
{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9dec60f5ac126f7bb551c055072b69d85392b13311fcc1bcda2202d172df30fb"},
|
||||
{file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:5688d203301ab051449a2b1cb6690fbe90d2b372f411521c86018b950f3d7922"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-nvrtc-cu12"
|
||||
version = "12.1.105"
|
||||
@ -3325,6 +3310,18 @@ files = [
|
||||
{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-nvrtc-cu12"
|
||||
version = "12.4.127"
|
||||
description = "NVRTC native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198"},
|
||||
{file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a178759ebb095827bd30ef56598ec182b85547f1508941a3d560eb7ea1fbf338"},
|
||||
{file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:a961b2f1d5f17b14867c619ceb99ef6fcec12e46612711bcec78eb05068a60ec"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-runtime-cu12"
|
||||
version = "12.1.105"
|
||||
@ -3336,6 +3333,18 @@ files = [
|
||||
{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-runtime-cu12"
|
||||
version = "12.4.127"
|
||||
description = "CUDA Runtime native Libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"},
|
||||
{file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5"},
|
||||
{file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:09c2e35f48359752dfa822c09918211844a3d93c100a715d79b59591130c5e1e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cudnn-cu12"
|
||||
version = "8.9.2.26"
|
||||
@ -3374,6 +3383,21 @@ files = [
|
||||
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cufft-cu12"
|
||||
version = "11.2.1.3"
|
||||
description = "CUFFT native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
|
||||
{file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9"},
|
||||
{file = "nvidia_cufft_cu12-11.2.1.3-py3-none-win_amd64.whl", hash = "sha256:d802f4954291101186078ccbe22fc285a902136f974d369540fd4a5333d1440b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-curand-cu12"
|
||||
version = "10.3.2.106"
|
||||
@ -3385,6 +3409,18 @@ files = [
|
||||
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-curand-cu12"
|
||||
version = "10.3.5.147"
|
||||
description = "CURAND native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9"},
|
||||
{file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b"},
|
||||
{file = "nvidia_curand_cu12-10.3.5.147-py3-none-win_amd64.whl", hash = "sha256:f307cc191f96efe9e8f05a87096abc20d08845a841889ef78cb06924437f6771"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusolver-cu12"
|
||||
version = "11.4.5.107"
|
||||
@ -3401,6 +3437,23 @@ nvidia-cublas-cu12 = "*"
|
||||
nvidia-cusparse-cu12 = "*"
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusolver-cu12"
|
||||
version = "11.6.1.9"
|
||||
description = "CUDA solver native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
|
||||
{file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
|
||||
{file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-cublas-cu12 = "*"
|
||||
nvidia-cusparse-cu12 = "*"
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusparse-cu12"
|
||||
version = "12.1.0.106"
|
||||
@ -3415,6 +3468,21 @@ files = [
|
||||
[package.dependencies]
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusparse-cu12"
|
||||
version = "12.3.1.170"
|
||||
description = "CUSPARSE native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
|
||||
{file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
|
||||
{file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nccl-cu12"
|
||||
version = "2.19.3"
|
||||
@ -3427,13 +3495,24 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nccl-cu12"
|
||||
version = "2.20.5"
|
||||
version = "2.21.5"
|
||||
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
|
||||
{file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
|
||||
{file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nvjitlink-cu12"
|
||||
version = "12.4.127"
|
||||
description = "Nvidia JIT LTO Library"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"},
|
||||
{file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
|
||||
{file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -3459,6 +3538,18 @@ files = [
|
||||
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nvtx-cu12"
|
||||
version = "12.4.127"
|
||||
description = "NVIDIA Tools Extension"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3"},
|
||||
{file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a"},
|
||||
{file = "nvidia_nvtx_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:641dccaaa1139f3ffb0d3164b4b84f9d253397e38246a4f2f36728b48566d485"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ocrmac"
|
||||
version = "1.0.0"
|
||||
@ -3576,9 +3667,9 @@ numpy = [
|
||||
{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 = ">=1.26.0", markers = "python_version >= \"3.12\""},
|
||||
{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\" 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\""},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -3602,9 +3693,9 @@ numpy = [
|
||||
{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 = ">=1.26.0", markers = "python_version >= \"3.12\""},
|
||||
{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\" 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\""},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -4586,21 +4677,21 @@ extra = ["pygments (>=2.12)"]
|
||||
|
||||
[[package]]
|
||||
name = "pymilvus"
|
||||
version = "2.4.9"
|
||||
version = "2.5.0"
|
||||
description = "Python Sdk for Milvus"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pymilvus-2.4.9-py3-none-any.whl", hash = "sha256:45313607d2c164064bdc44e0f933cb6d6afa92e9efcc7f357c5240c57db58fbe"},
|
||||
{file = "pymilvus-2.4.9.tar.gz", hash = "sha256:0937663700007c23a84cfc0656160b301f6ff9247aaec4c96d599a6b43572136"},
|
||||
{file = "pymilvus-2.5.0-py3-none-any.whl", hash = "sha256:a0e8653d8fe78019abfda79b3404ef7423f312501e8cbd7dc728051ce8732652"},
|
||||
{file = "pymilvus-2.5.0.tar.gz", hash = "sha256:4da14a3bd957a4921166f9355fd1f1ac5c5e4e80b46f12f64d9c9a6dcb8cb395"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
environs = "<=9.5.0"
|
||||
grpcio = ">=1.49.1"
|
||||
milvus-lite = {version = ">=2.4.0,<2.5.0", markers = "sys_platform != \"win32\""}
|
||||
grpcio = ">=1.49.1,<=1.67.1"
|
||||
milvus-lite = {version = ">=2.4.0", markers = "sys_platform != \"win32\""}
|
||||
pandas = ">=1.2.4"
|
||||
protobuf = ">=3.20.0"
|
||||
python-dotenv = ">=1.0.1,<2.0.0"
|
||||
setuptools = ">69"
|
||||
ujson = ">=2.0.0"
|
||||
|
||||
@ -6103,6 +6194,23 @@ pure-eval = "*"
|
||||
[package.extras]
|
||||
tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "sympy"
|
||||
version = "1.13.1"
|
||||
description = "Computer algebra system (CAS) in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
|
||||
{file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
mpmath = ">=1.1.0,<1.4"
|
||||
|
||||
[package.extras]
|
||||
dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "sympy"
|
||||
version = "1.13.3"
|
||||
@ -6248,123 +6356,26 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "tokenizers"
|
||||
version = "0.20.3"
|
||||
version = "0.20.4"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tokenizers-0.20.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:31ccab28dbb1a9fe539787210b0026e22debeab1662970f61c2d921f7557f7e4"},
|
||||
{file = "tokenizers-0.20.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c6361191f762bda98c773da418cf511cbaa0cb8d0a1196f16f8c0119bde68ff8"},
|
||||
{file = "tokenizers-0.20.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f128d5da1202b78fa0a10d8d938610472487da01b57098d48f7e944384362514"},
|
||||
{file = "tokenizers-0.20.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:79c4121a2e9433ad7ef0769b9ca1f7dd7fa4c0cd501763d0a030afcbc6384481"},
|
||||
{file = "tokenizers-0.20.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7850fde24197fe5cd6556e2fdba53a6d3bae67c531ea33a3d7c420b90904141"},
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[[package]]
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||||
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[package.dependencies]
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networkx = "*"
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nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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sympy = "*"
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nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
setuptools = {version = "*", markers = "python_version >= \"3.12\""}
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sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
|
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triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
|
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typing-extensions = ">=4.8.0"
|
||||
|
||||
[package.extras]
|
||||
opt-einsum = ["opt-einsum (>=3.3)"]
|
||||
optree = ["optree (>=0.11.0)"]
|
||||
optree = ["optree (>=0.12.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "torchvision"
|
||||
@ -6553,37 +6562,33 @@ scipy = ["scipy"]
|
||||
|
||||
[[package]]
|
||||
name = "torchvision"
|
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version = "0.19.1"
|
||||
version = "0.20.1"
|
||||
description = "image and video datasets and models for torch deep learning"
|
||||
optional = false
|
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python-versions = ">=3.8"
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]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
|
||||
torch = "2.4.1"
|
||||
torch = "2.5.1"
|
||||
|
||||
[package.extras]
|
||||
gdown = ["gdown (>=4.7.3)"]
|
||||
@ -6739,21 +6744,16 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
|
||||
|
||||
[[package]]
|
||||
name = "triton"
|
||||
version = "3.0.0"
|
||||
version = "3.1.0"
|
||||
description = "A language and compiler for custom Deep Learning operations"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
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{file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
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{file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"},
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{file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"},
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{file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"},
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{file = "triton-3.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d5e10de8c011adeb7c878c6ce0dd6073b14367749e34467f1cff2bde1b78253"},
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||||
{file = "triton-3.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8903767951bf86ec960b4fe4e21bc970055afc65e9d57e916d79ae3c93665e3"},
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||||
{file = "triton-3.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41004fb1ae9a53fcb3e970745feb87f0e3c94c6ce1ba86e95fa3b8537894bef7"},
|
||||
{file = "triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8"},
|
||||
{file = "triton-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f34f6e7885d1bf0eaaf7ba875a5f0ce6f3c13ba98f9503651c1e6dc6757ed5c"},
|
||||
{file = "triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8182f42fd8080a7d39d666814fa36c5e30cc00ea7eeeb1a2983dbb4c99a0fdc"},
|
||||
{file = "triton-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dadaca7fc24de34e180271b5cf864c16755702e9f63a16f62df714a8099126a"},
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||||
{file = "triton-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aafa9a20cd0d9fee523cd4504aa7131807a864cd77dcf6efe7e981f18b8c6c11"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6806,13 +6806,13 @@ typing-extensions = ">=3.7.4.3"
|
||||
|
||||
[[package]]
|
||||
name = "types-openpyxl"
|
||||
version = "3.1.5.20241114"
|
||||
version = "3.1.5.20241126"
|
||||
description = "Typing stubs for openpyxl"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "types-openpyxl-3.1.5.20241114.tar.gz", hash = "sha256:caeb9aafed8a5ffabdc74f880b148d90375364a1cfe7915d5065c5d79f3fe6a2"},
|
||||
{file = "types_openpyxl-3.1.5.20241114-py3-none-any.whl", hash = "sha256:f2925f595b08f5aef1baa725c9ee40baaf51beb05d98ac150593d3bdd37b1029"},
|
||||
{file = "types_openpyxl-3.1.5.20241126-py3-none-any.whl", hash = "sha256:e50ad5c2dec2c92cca521abed5c039975226e8e76389f17ab0ef813595593fbe"},
|
||||
{file = "types_openpyxl-3.1.5.20241126.tar.gz", hash = "sha256:f599afab19f87aa11672ee675346401d82a0dac71988df9a5411cdb1e7477377"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -6968,13 +6968,13 @@ zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "virtualenv"
|
||||
version = "20.27.1"
|
||||
version = "20.28.0"
|
||||
description = "Virtual Python Environment builder"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "virtualenv-20.27.1-py3-none-any.whl", hash = "sha256:f11f1b8a29525562925f745563bfd48b189450f61fb34c4f9cc79dd5aa32a1f4"},
|
||||
{file = "virtualenv-20.27.1.tar.gz", hash = "sha256:142c6be10212543b32c6c45d3d3893dff89112cc588b7d0879ae5a1ec03a47ba"},
|
||||
{file = "virtualenv-20.28.0-py3-none-any.whl", hash = "sha256:23eae1b4516ecd610481eda647f3a7c09aea295055337331bb4e6892ecce47b0"},
|
||||
{file = "virtualenv-20.28.0.tar.gz", hash = "sha256:2c9c3262bb8e7b87ea801d715fae4495e6032450c71d2309be9550e7364049aa"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -7415,4 +7415,4 @@ tesserocr = ["tesserocr"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.9"
|
||||
content-hash = "eddea0c7af1ce850730e7f0c1b8eb7581651ccc233805ce1fb719a7f3d572612"
|
||||
content-hash = "37aeaba10d70b728cffd5e0403ae02bdc9a34d0c3a9781cebad920233336988d"
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "docling"
|
||||
version = "2.7.0" # DO NOT EDIT, updated automatically
|
||||
version = "2.7.1" # 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>", "Michele Dolfi <dol@zurich.ibm.com>", "Maxim Lysak <mly@zurich.ibm.com>", "Nikos Livathinos <nli@zurich.ibm.com>", "Ahmed Nassar <ahn@zurich.ibm.com>", "Panos Vagenas <pva@zurich.ibm.com>", "Peter Staar <taa@zurich.ibm.com>"]
|
||||
license = "MIT"
|
||||
@ -48,6 +48,7 @@ beautifulsoup4 = "^4.12.3"
|
||||
pandas = "^2.1.4"
|
||||
marko = "^2.1.2"
|
||||
openpyxl = "^3.1.5"
|
||||
lxml = ">=4.0.0,<6.0.0"
|
||||
ocrmac = { version = "^1.0.0", markers = "sys_platform == 'darwin'", optional = true }
|
||||
rapidocr-onnxruntime = { version = "^1.4.0", optional = true, markers = "python_version < '3.13'" }
|
||||
onnxruntime = [
|
||||
|
||||
BIN
tests/data/docx/test_emf_docx.docx
Normal file
BIN
tests/data/docx/test_emf_docx.docx
Normal file
Binary file not shown.
10
tests/data/groundtruth/docling_v2/tablecell.docx.itxt
Normal file
10
tests/data/groundtruth/docling_v2/tablecell.docx.itxt
Normal file
@ -0,0 +1,10 @@
|
||||
item-0 at level 0: unspecified: group _root_
|
||||
item-1 at level 1: list: group list
|
||||
item-2 at level 2: list_item: Hello world1
|
||||
item-3 at level 2: list_item: Hello2
|
||||
item-4 at level 1: paragraph:
|
||||
item-5 at level 1: paragraph: Some text before
|
||||
item-6 at level 1: table with [3x3]
|
||||
item-7 at level 1: paragraph:
|
||||
item-8 at level 1: paragraph:
|
||||
item-9 at level 1: paragraph: Some text after
|
||||
392
tests/data/groundtruth/docling_v2/tablecell.docx.json
Normal file
392
tests/data/groundtruth/docling_v2/tablecell.docx.json
Normal file
@ -0,0 +1,392 @@
|
||||
{
|
||||
"schema_name": "DoclingDocument",
|
||||
"version": "1.0.0",
|
||||
"name": "tablecell",
|
||||
"origin": {
|
||||
"mimetype": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
|
||||
"binary_hash": 1111850039819445035,
|
||||
"filename": "tablecell.docx"
|
||||
},
|
||||
"furniture": {
|
||||
"self_ref": "#/furniture",
|
||||
"children": [],
|
||||
"name": "_root_",
|
||||
"label": "unspecified"
|
||||
},
|
||||
"body": {
|
||||
"self_ref": "#/body",
|
||||
"children": [
|
||||
{
|
||||
"$ref": "#/groups/0"
|
||||
},
|
||||
{
|
||||
"$ref": "#/texts/2"
|
||||
},
|
||||
{
|
||||
"$ref": "#/texts/3"
|
||||
},
|
||||
{
|
||||
"$ref": "#/tables/0"
|
||||
},
|
||||
{
|
||||
"$ref": "#/texts/4"
|
||||
},
|
||||
{
|
||||
"$ref": "#/texts/5"
|
||||
},
|
||||
{
|
||||
"$ref": "#/texts/6"
|
||||
}
|
||||
],
|
||||
"name": "_root_",
|
||||
"label": "unspecified"
|
||||
},
|
||||
"groups": [
|
||||
{
|
||||
"self_ref": "#/groups/0",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [
|
||||
{
|
||||
"$ref": "#/texts/0"
|
||||
},
|
||||
{
|
||||
"$ref": "#/texts/1"
|
||||
}
|
||||
],
|
||||
"name": "list",
|
||||
"label": "list"
|
||||
}
|
||||
],
|
||||
"texts": [
|
||||
{
|
||||
"self_ref": "#/texts/0",
|
||||
"parent": {
|
||||
"$ref": "#/groups/0"
|
||||
},
|
||||
"children": [],
|
||||
"label": "list_item",
|
||||
"prov": [],
|
||||
"orig": "Hello world1",
|
||||
"text": "Hello world1",
|
||||
"enumerated": false,
|
||||
"marker": "-"
|
||||
},
|
||||
{
|
||||
"self_ref": "#/texts/1",
|
||||
"parent": {
|
||||
"$ref": "#/groups/0"
|
||||
},
|
||||
"children": [],
|
||||
"label": "list_item",
|
||||
"prov": [],
|
||||
"orig": "Hello2",
|
||||
"text": "Hello2",
|
||||
"enumerated": false,
|
||||
"marker": "-"
|
||||
},
|
||||
{
|
||||
"self_ref": "#/texts/2",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [],
|
||||
"label": "paragraph",
|
||||
"prov": [],
|
||||
"orig": "",
|
||||
"text": ""
|
||||
},
|
||||
{
|
||||
"self_ref": "#/texts/3",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [],
|
||||
"label": "paragraph",
|
||||
"prov": [],
|
||||
"orig": "Some text before",
|
||||
"text": "Some text before"
|
||||
},
|
||||
{
|
||||
"self_ref": "#/texts/4",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [],
|
||||
"label": "paragraph",
|
||||
"prov": [],
|
||||
"orig": "",
|
||||
"text": ""
|
||||
},
|
||||
{
|
||||
"self_ref": "#/texts/5",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [],
|
||||
"label": "paragraph",
|
||||
"prov": [],
|
||||
"orig": "",
|
||||
"text": ""
|
||||
},
|
||||
{
|
||||
"self_ref": "#/texts/6",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [],
|
||||
"label": "paragraph",
|
||||
"prov": [],
|
||||
"orig": "Some text after",
|
||||
"text": "Some text after"
|
||||
}
|
||||
],
|
||||
"pictures": [],
|
||||
"tables": [
|
||||
{
|
||||
"self_ref": "#/tables/0",
|
||||
"parent": {
|
||||
"$ref": "#/body"
|
||||
},
|
||||
"children": [],
|
||||
"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": "Tab1",
|
||||
"column_header": false,
|
||||
"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": "Tab2",
|
||||
"column_header": false,
|
||||
"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": "Tab3",
|
||||
"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": 0,
|
||||
"end_col_offset_idx": 1,
|
||||
"text": "A",
|
||||
"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": 1,
|
||||
"end_col_offset_idx": 2,
|
||||
"text": "B",
|
||||
"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": 2,
|
||||
"end_col_offset_idx": 3,
|
||||
"text": "C",
|
||||
"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": 0,
|
||||
"end_col_offset_idx": 1,
|
||||
"text": "D",
|
||||
"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": 1,
|
||||
"end_col_offset_idx": 2,
|
||||
"text": "E",
|
||||
"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": 2,
|
||||
"end_col_offset_idx": 3,
|
||||
"text": "F",
|
||||
"column_header": false,
|
||||
"row_header": false,
|
||||
"row_section": false
|
||||
}
|
||||
],
|
||||
"num_rows": 3,
|
||||
"num_cols": 3,
|
||||
"grid": [
|
||||
[
|
||||
{
|
||||
"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": "Tab1",
|
||||
"column_header": false,
|
||||
"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": "Tab2",
|
||||
"column_header": false,
|
||||
"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": "Tab3",
|
||||
"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": 0,
|
||||
"end_col_offset_idx": 1,
|
||||
"text": "A",
|
||||
"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": 1,
|
||||
"end_col_offset_idx": 2,
|
||||
"text": "B",
|
||||
"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": 2,
|
||||
"end_col_offset_idx": 3,
|
||||
"text": "C",
|
||||
"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": 0,
|
||||
"end_col_offset_idx": 1,
|
||||
"text": "D",
|
||||
"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": 1,
|
||||
"end_col_offset_idx": 2,
|
||||
"text": "E",
|
||||
"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": 2,
|
||||
"end_col_offset_idx": 3,
|
||||
"text": "F",
|
||||
"column_header": false,
|
||||
"row_header": false,
|
||||
"row_section": false
|
||||
}
|
||||
]
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
"key_value_items": [],
|
||||
"pages": {}
|
||||
}
|
||||
11
tests/data/groundtruth/docling_v2/tablecell.docx.md
Normal file
11
tests/data/groundtruth/docling_v2/tablecell.docx.md
Normal file
@ -0,0 +1,11 @@
|
||||
- Hello world1
|
||||
- Hello2
|
||||
|
||||
Some text before
|
||||
|
||||
| Tab1 | Tab2 | Tab3 |
|
||||
|--------|--------|--------|
|
||||
| A | B | C |
|
||||
| D | E | F |
|
||||
|
||||
Some text after
|
||||
@ -0,0 +1,8 @@
|
||||
item-0 at level 0: unspecified: group _root_
|
||||
item-1 at level 1: paragraph: Test with three images in unusual formats
|
||||
item-2 at level 1: paragraph: Raster in emf:
|
||||
item-3 at level 1: picture
|
||||
item-4 at level 1: paragraph: Vector in emf:
|
||||
item-5 at level 1: picture
|
||||
item-6 at level 1: paragraph: Raster in webp:
|
||||
item-7 at level 1: picture
|
||||
144
tests/data/groundtruth/docling_v2/test_emf_docx.docx.json
Normal file
144
tests/data/groundtruth/docling_v2/test_emf_docx.docx.json
Normal file
File diff suppressed because one or more lines are too long
13
tests/data/groundtruth/docling_v2/test_emf_docx.docx.md
Normal file
13
tests/data/groundtruth/docling_v2/test_emf_docx.docx.md
Normal file
@ -0,0 +1,13 @@
|
||||
Test with three images in unusual formats
|
||||
|
||||
Raster in emf:
|
||||
|
||||
<!-- image -->
|
||||
|
||||
Vector in emf:
|
||||
|
||||
<!-- image -->
|
||||
|
||||
Raster in webp:
|
||||
|
||||
<!-- image -->
|
||||
1
tests/data/groundtruth/docling_v2/word_sample.json
Normal file
1
tests/data/groundtruth/docling_v2/word_sample.json
Normal file
File diff suppressed because one or more lines are too long
45
tests/data/groundtruth/docling_v2/word_sample.md
Normal file
45
tests/data/groundtruth/docling_v2/word_sample.md
Normal file
@ -0,0 +1,45 @@
|
||||
Summer activities
|
||||
|
||||
# Swimming in the lake
|
||||
|
||||
Duck
|
||||
|
||||
<!-- image -->
|
||||
|
||||
Figure 1: This is a cute duckling
|
||||
|
||||
## Let’s swim!
|
||||
|
||||
To get started with swimming, first lay down in a water and try not to drown:
|
||||
|
||||
- You can relax and look around
|
||||
- Paddle about
|
||||
- Enjoy summer warmth
|
||||
|
||||
Also, don’t forget:
|
||||
|
||||
- Wear sunglasses
|
||||
- Don’t forget to drink water
|
||||
- Use sun cream
|
||||
|
||||
Hmm, what else…
|
||||
|
||||
### Let’s eat
|
||||
|
||||
After we had a good day of swimming in the lake, it’s important to eat something nice
|
||||
|
||||
I like to eat leaves
|
||||
|
||||
Here are some interesting things a respectful duck could eat:
|
||||
|
||||
| | Food | Calories per portion |
|
||||
|---------|----------------------------------|------------------------|
|
||||
| Leaves | Ash, Elm, Maple | 50 |
|
||||
| Berries | Blueberry, Strawberry, Cranberry | 150 |
|
||||
| Grain | Corn, Buckwheat, Barley | 200 |
|
||||
|
||||
And let’s add another list in the end:
|
||||
|
||||
- Leaves
|
||||
- Berries
|
||||
- Grain
|
||||
546
tests/data/groundtruth/docling_v2/word_sample.yaml
Normal file
546
tests/data/groundtruth/docling_v2/word_sample.yaml
Normal file
File diff suppressed because one or more lines are too long
Loading…
Reference in New Issue
Block a user