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Update docling-core pinnings

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Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer 2024-10-16 13:32:15 +02:00
commit 515ab04947
3 changed files with 16 additions and 21 deletions
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5
docs/examples/develop_picture_enrichment.py
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@ -3,7 +3,7 @@ from pathlib import Path
from typing import Any, Iterable
from docling_core.types.doc import DoclingDocument, NodeItem
from docling_core.types.doc.document import PictureClassificationData, PictureItem
from docling_core.types.doc.document import PictureClassificationData, PictureItem, PictureClassificationClass
from docling.datamodel.base_models import InputFormat
from docling.datamodel.pipeline_options import PdfPipelineOptions
@ -38,8 +38,7 @@ class ExamplePictureClassifierEnrichmentModel(BaseEnrichmentModel):
element.data.classification = PictureClassificationData(
provenance="example_classifier-0.0.1",
predicted_class="dummy",
confidence=0.42,
predicted_classes=[PictureClassificationClass(class_name="dummy", confidence=0.42)]
)
yield element

30
poetry.lock generated
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@ -987,24 +987,26 @@ resolved_reference = "5fb2f34da63881a7e94418f8bb0d1af38222cc15"
[[package]]
name = "docling-ibm-models"
version = "2.0.0"
version = "2.0.1"
description = "This package contains the AI models used by the Docling PDF conversion package"
optional = false
python-versions = "^3.10"
files = []
develop = false
python-versions = "<4.0,>=3.10"
files = [
{file = "docling_ibm_models-2.0.1-py3-none-any.whl", hash = "sha256:f81c6002b7e102aa79afb8287fce48872f27d1cffb088ea4d1fbebe490364a1d"},
{file = "docling_ibm_models-2.0.1.tar.gz", hash = "sha256:4fb0300022cfa0d0ac1fcbcb296c144e71ee9816654407f8a4d3a7b934f3065f"},
]
[package.dependencies]
huggingface_hub = ">=0.23,<1"
jsonlines = "^3.1.0"
lxml = "^4.9.1"
mean_average_precision = "^2021.4.26.0"
jsonlines = ">=3.1.0,<4.0.0"
lxml = ">=4.9.1,<5.0.0"
mean_average_precision = ">=2021.4.26.0,<2022.0.0.0"
numpy = [
{version = ">=2.1.0,<3.0.0", markers = "python_version >= \"3.13\""},
{version = ">=1.24.4,<2.0.0", markers = "python_version < \"3.13\""},
]
opencv-python-headless = "^4.6.0.66"
Pillow = "^10.0.0"
opencv-python-headless = ">=4.6.0.66,<5.0.0.0"
Pillow = ">=10.0.0,<11.0.0"
torch = [
{version = ">=2.2.2,<3.0.0", markers = "sys_platform != \"darwin\" or platform_machine != \"x86_64\""},
{version = ">=2.2.2,<2.3.0", markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""},
@ -1013,13 +1015,7 @@ torchvision = [
{version = ">=0,<1", markers = "sys_platform != \"darwin\" or platform_machine != \"x86_64\""},
{version = ">=0.17.2,<0.18.0", markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""},
]
tqdm = "^4.64.0"
[package.source]
type = "git"
url = "https://github.com/DS4SD/docling-ibm-models.git"
reference = "1d2e2a2e6eb152c237f1383cdba20cf85db80b97"
resolved_reference = "1d2e2a2e6eb152c237f1383cdba20cf85db80b97"
tqdm = ">=4.64.0,<5.0.0"
[[package]]
name = "docling-parse"
@ -7489,4 +7485,4 @@ tesserocr = ["tesserocr"]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "db457ead3faea75b26fb9d8e9c00375a0e59bad1c118d20af30ea5224a1808b9"
content-hash = "38fa09c8db187d27cdcd0fe632e9843b51d7ee082cf3f6618c7daad82eb40e50"

2
pyproject.toml
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@ -38,7 +38,7 @@ torchvision = [
python = "^3.10"
pydantic = "^2.0.0"
docling-core = {git = "https://github.com/DS4SD/docling-core.git", rev = "5fb2f34da63881a7e94418f8bb0d1af38222cc15"}
docling-ibm-models = {git = "https://github.com/DS4SD/docling-ibm-models.git", rev = "1d2e2a2e6eb152c237f1383cdba20cf85db80b97"}
docling-ibm-models = "^2.0.1"
deepsearch-glm = {git = "https://github.com/DS4SD/deepsearch-glm.git", rev = "ab96c114b71ed99d0736a4fd9d8945b115d7f1b0"}
filetype = "^1.2.0"
pypdfium2 = "^4.30.0"