mirror of
https://github.com/DS4SD/docling.git
synced 2025-07-26 20:14:47 +00:00
Put stub for experimental format export
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer
parent
abb6dddea8
commit
ac51a09065
@ -3,7 +3,7 @@ from io import BytesIO
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from pathlib import Path, PurePath
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from typing import ClassVar, Dict, Iterable, List, Optional, Tuple, Type, Union
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from docling_core.types import BaseCell, BaseText
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from docling_core.types import BaseCell, BaseText, DoclingDocument
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from docling_core.types import Document as DsDocument
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from docling_core.types import DocumentDescription as DsDocumentDescription
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from docling_core.types import FileInfoObject as DsFileInfoObject
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@ -60,6 +60,8 @@ _EMPTY_DOC = DsDocument(
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),
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)
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_EMPTY_DOCLING_DOC = DoclingDocument(description={}, file_info={}) # TODO: Stub
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class InputDocument(BaseModel):
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file: PurePath = None
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@ -137,6 +139,7 @@ class ConvertedDocument(BaseModel):
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assembled: AssembledUnit = AssembledUnit()
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output: DsDocument = _EMPTY_DOC
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experimental: DoclingDocument = _EMPTY_DOCLING_DOC
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def _to_ds_document(self) -> DsDocument:
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title = ""
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@ -289,4 +289,4 @@ class DocumentConverter:
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elements=all_elements, headers=all_headers, body=all_body
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)
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conv_res.output = self.glm_model(conv_res)
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conv_res.output, conv_res.experimental = self.glm_model(conv_res)
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@ -1,10 +1,14 @@
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import copy
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import random
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from typing import Tuple
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from deepsearch_glm.nlp_utils import init_nlp_model
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from deepsearch_glm.utils.doc_utils import to_legacy_document_format
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from deepsearch_glm.utils.doc_utils import (
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to_docling_document,
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to_legacy_document_format,
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)
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from deepsearch_glm.utils.load_pretrained_models import load_pretrained_nlp_models
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from docling_core.types import BaseText
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from docling_core.types import BaseText, DoclingDocument
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from docling_core.types import Document as DsDocument
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from docling_core.types import Ref
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from docling_core.types.experimental.base import BoundingBox, CoordOrigin
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@ -25,7 +29,9 @@ class GlmModel:
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model = init_nlp_model(model_names=self.model_names)
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self.model = model
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def __call__(self, conv_res: ConversionResult) -> DsDocument:
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def __call__(
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self, conv_res: ConversionResult
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) -> Tuple[DsDocument, DoclingDocument]:
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ds_doc = conv_res._to_ds_document()
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ds_doc_dict = ds_doc.model_dump(by_alias=True)
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@ -34,6 +40,7 @@ class GlmModel:
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glm_doc, ds_doc_dict, update_name_label=True
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)
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docling_doc: DoclingDocument = to_docling_document(glm_doc) # Experimental
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exported_doc = DsDocument.model_validate(ds_doc_dict)
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# DEBUG code:
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@ -84,4 +91,4 @@ class GlmModel:
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# draw_clusters_and_cells(ds_doc, 0)
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# draw_clusters_and_cells(exported_doc, 0)
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return exported_doc
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return (exported_doc, docling_doc)
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@ -4,6 +4,8 @@ import time
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from pathlib import Path
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from typing import Iterable
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import yaml
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from docling.datamodel.base_models import ConversionStatus, PipelineOptions
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from docling.datamodel.document import ConversionResult, DocumentConversionInput
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from docling.document_converter import DocumentConverter
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@ -30,6 +32,14 @@ def export_documents(
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with (output_dir / f"{doc_filename}.json").open("w") as fp:
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fp.write(json.dumps(conv_res.render_as_dict()))
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# Export Docling document format to YAML (experimental):
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with (output_dir / f"{doc_filename}.yaml").open("w") as fp:
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fp.write(
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yaml.safe_dump(
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conv_res.experimental.model_dump(mode="json", by_alias=True)
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)
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)
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# Export Text format:
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with (output_dir / f"{doc_filename}.txt").open("w") as fp:
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fp.write(conv_res.render_as_text())
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129
poetry.lock
generated
129
poetry.lock
generated
@ -150,13 +150,13 @@ files = [
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[[package]]
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name = "anyio"
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version = "4.4.0"
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version = "4.5.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = true
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python-versions = ">=3.8"
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files = [
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{file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
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{file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
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{file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
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{file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
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]
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[package.dependencies]
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@ -166,9 +166,9 @@ sniffio = ">=1.1"
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typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
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[package.extras]
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doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
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trio = ["trio (>=0.23)"]
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doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
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trio = ["trio (>=0.26.1)"]
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[[package]]
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name = "appnope"
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@ -882,7 +882,7 @@ toolkit = ["deepsearch-toolkit (>=0.31.0)"]
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type = "git"
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url = "ssh://git@github.com/DS4SD/deepsearch-glm.git"
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reference = "cau/new-format-dev"
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resolved_reference = "6d86b7ddaa8911ec57df9bbabf981a42166e53d2"
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resolved_reference = "60e4bda21fbe7ee8849d27a9321ba37cca04e7aa"
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[[package]]
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name = "deprecated"
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@ -960,17 +960,17 @@ tabulate = "^0.9.0"
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type = "git"
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url = "ssh://git@github.com/DS4SD/docling-core.git"
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reference = "cau/new-format-dev"
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resolved_reference = "ed087646ec9ad86c5b54eb37d7b99322d03487f0"
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resolved_reference = "bdbd93e3297b7618483f76c85f2fecf876f0af2b"
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[[package]]
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name = "docling-ibm-models"
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version = "1.2.0"
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version = "1.2.1"
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description = "This package contains the AI models used by the Docling PDF conversion package"
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optional = false
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python-versions = "<4.0,>=3.10"
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files = [
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{file = "docling_ibm_models-1.2.0-py3-none-any.whl", hash = "sha256:1bad8fb67ab1ff71a6120530c76272e48b71c5829383d381927e8e51c2204eee"},
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{file = "docling_ibm_models-1.2.0.tar.gz", hash = "sha256:e5558c66433603a7acfe0dd9e7bc12e99680af9484b26cf3e61e03b1cbdd3e2d"},
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{file = "docling_ibm_models-1.2.1-py3-none-any.whl", hash = "sha256:f87e091cc6ead17bcde3bd74dd00325719874b6353569c692285f6b8e733efec"},
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{file = "docling_ibm_models-1.2.1.tar.gz", hash = "sha256:5a3be3a67ecca3af168d69ebee48cf0c295abe33fbb074c5313138d39520c7ff"},
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]
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[package.dependencies]
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@ -993,35 +993,35 @@ tqdm = ">=4.64.0,<5.0.0"
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[[package]]
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name = "docling-parse"
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version = "1.2.0"
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version = "1.2.1"
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description = "Simple package to extract text with coordinates from programmatic PDFs"
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optional = false
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python-versions = "<4.0,>=3.9"
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files = [
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{file = "docling_parse-1.2.0-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:a85e5cc3e075d8628ced33595f2f4768e0dee40d1ed39cdec99b2dcff7eee596"},
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{file = "docling_parse-1.2.0-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:e4fc3875207b837d9849a32f2c15a1fd0244cfdcc268e39858faf83b4bb1ff47"},
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{file = "docling_parse-1.2.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:c2ebaf97d9f6d8c50f4846ff8927d41c55087c8229d0e1b6944efad810fbe8e4"},
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|
||||
{file = "docling_parse-1.2.1-cp39-cp39-macosx_14_0_arm64.whl", hash = "sha256:61056d6061139907de9c029c5ed532db82960c12e84fe34c3f68b9561894d9d4"},
|
||||
{file = "docling_parse-1.2.1-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:277b3921c14f17b890478fef2743e74c40d27f2fed9f4a537ef7810fe0166439"},
|
||||
{file = "docling_parse-1.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97f5ab23c32b91d80fe8947dd69379c00c207272283e6ff66d83e07abbafba8e"},
|
||||
{file = "docling_parse-1.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e93746818278101df56efd105b5e64b90fb7e35b329732849de23bdfeb7c53b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2329,13 +2329,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "0.2.40"
|
||||
version = "0.2.41"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = true
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langchain_core-0.2.40-py3-none-any.whl", hash = "sha256:71fff5cafa4b9c82a3a716e985f071383be452c35d8cc3169b3a393e6857fc99"},
|
||||
{file = "langchain_core-0.2.40.tar.gz", hash = "sha256:c838ea0c0b73475a8e58ced3e306b6d926ef063721abd164f237c8664916f502"},
|
||||
{file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
|
||||
{file = "langchain_core-0.2.41.tar.gz", hash = "sha256:bc12032c5a298d85be754ccb129bc13ea21ccb1d6e22f8d7ba18b8da64315bb5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2403,13 +2403,13 @@ langchain-core = ">=0.2.38,<0.3.0"
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.121"
|
||||
version = "0.1.125"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = true
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langsmith-0.1.121-py3-none-any.whl", hash = "sha256:fdb1ac8a671d3904201bfeea197d87bded46a10d08f1034af464211872e29893"},
|
||||
{file = "langsmith-0.1.121.tar.gz", hash = "sha256:e9381b82a5bd484af9a51c3e96faea572746b8d617b070c1cda40cbbe48e33df"},
|
||||
{file = "langsmith-0.1.125-py3-none-any.whl", hash = "sha256:74ce8eb2663e1ed20bfcfc88d41e0712879306956c9938d1cdbab7d60458bdca"},
|
||||
{file = "langsmith-0.1.125.tar.gz", hash = "sha256:2c0eb0c3cbf22cff55bf519b8e889041f9a591bcf97af5152c8e130333c5940e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -4000,22 +4000,22 @@ wcwidth = "*"
|
||||
|
||||
[[package]]
|
||||
name = "protobuf"
|
||||
version = "5.28.1"
|
||||
version = "5.28.2"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "protobuf-5.28.1-cp310-abi3-win32.whl", hash = "sha256:fc063acaf7a3d9ca13146fefb5b42ac94ab943ec6e978f543cd5637da2d57957"},
|
||||
{file = "protobuf-5.28.1-cp310-abi3-win_amd64.whl", hash = "sha256:4c7f5cb38c640919791c9f74ea80c5b82314c69a8409ea36f2599617d03989af"},
|
||||
{file = "protobuf-5.28.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:4304e4fceb823d91699e924a1fdf95cde0e066f3b1c28edb665bda762ecde10f"},
|
||||
{file = "protobuf-5.28.1-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:0dfd86d2b5edf03d91ec2a7c15b4e950258150f14f9af5f51c17fa224ee1931f"},
|
||||
{file = "protobuf-5.28.1-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:51f09caab818707ab91cf09cc5c156026599cf05a4520779ccbf53c1b352fb25"},
|
||||
{file = "protobuf-5.28.1-cp38-cp38-win32.whl", hash = "sha256:1b04bde117a10ff9d906841a89ec326686c48ececeb65690f15b8cabe7149495"},
|
||||
{file = "protobuf-5.28.1-cp38-cp38-win_amd64.whl", hash = "sha256:cabfe43044ee319ad6832b2fda332646f9ef1636b0130186a3ae0a52fc264bb4"},
|
||||
{file = "protobuf-5.28.1-cp39-cp39-win32.whl", hash = "sha256:4b4b9a0562a35773ff47a3df823177ab71a1f5eb1ff56d8f842b7432ecfd7fd2"},
|
||||
{file = "protobuf-5.28.1-cp39-cp39-win_amd64.whl", hash = "sha256:f24e5d70e6af8ee9672ff605d5503491635f63d5db2fffb6472be78ba62efd8f"},
|
||||
{file = "protobuf-5.28.1-py3-none-any.whl", hash = "sha256:c529535e5c0effcf417682563719e5d8ac8d2b93de07a56108b4c2d436d7a29a"},
|
||||
{file = "protobuf-5.28.1.tar.gz", hash = "sha256:42597e938f83bb7f3e4b35f03aa45208d49ae8d5bcb4bc10b9fc825e0ab5e423"},
|
||||
{file = "protobuf-5.28.2-cp310-abi3-win32.whl", hash = "sha256:eeea10f3dc0ac7e6b4933d32db20662902b4ab81bf28df12218aa389e9c2102d"},
|
||||
{file = "protobuf-5.28.2-cp310-abi3-win_amd64.whl", hash = "sha256:2c69461a7fcc8e24be697624c09a839976d82ae75062b11a0972e41fd2cd9132"},
|
||||
{file = "protobuf-5.28.2-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:a8b9403fc70764b08d2f593ce44f1d2920c5077bf7d311fefec999f8c40f78b7"},
|
||||
{file = "protobuf-5.28.2-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:35cfcb15f213449af7ff6198d6eb5f739c37d7e4f1c09b5d0641babf2cc0c68f"},
|
||||
{file = "protobuf-5.28.2-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:5e8a95246d581eef20471b5d5ba010d55f66740942b95ba9b872d918c459452f"},
|
||||
{file = "protobuf-5.28.2-cp38-cp38-win32.whl", hash = "sha256:87317e9bcda04a32f2ee82089a204d3a2f0d3c8aeed16568c7daf4756e4f1fe0"},
|
||||
{file = "protobuf-5.28.2-cp38-cp38-win_amd64.whl", hash = "sha256:c0ea0123dac3399a2eeb1a1443d82b7afc9ff40241433296769f7da42d142ec3"},
|
||||
{file = "protobuf-5.28.2-cp39-cp39-win32.whl", hash = "sha256:ca53faf29896c526863366a52a8f4d88e69cd04ec9571ed6082fa117fac3ab36"},
|
||||
{file = "protobuf-5.28.2-cp39-cp39-win_amd64.whl", hash = "sha256:8ddc60bf374785fb7cb12510b267f59067fa10087325b8e1855b898a0d81d276"},
|
||||
{file = "protobuf-5.28.2-py3-none-any.whl", hash = "sha256:52235802093bd8a2811abbe8bf0ab9c5f54cca0a751fdd3f6ac2a21438bffece"},
|
||||
{file = "protobuf-5.28.2.tar.gz", hash = "sha256:59379674ff119717404f7454647913787034f03fe7049cbef1d74a97bb4593f0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -4487,13 +4487,13 @@ wheel = "*"
|
||||
|
||||
[[package]]
|
||||
name = "pyreadline3"
|
||||
version = "3.5.3"
|
||||
version = "3.5.4"
|
||||
description = "A python implementation of GNU readline."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pyreadline3-3.5.3-py3-none-any.whl", hash = "sha256:ddede153a92e5aad9c1fe63d692efd6a3e478f686adcd4938a051ffb63ec4f52"},
|
||||
{file = "pyreadline3-3.5.3.tar.gz", hash = "sha256:9234684ca75a00a702fda42b17cc26ca665bc9d7c2da06af450468253099ff61"},
|
||||
{file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
|
||||
{file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -5629,18 +5629,17 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "sentence-transformers"
|
||||
version = "3.1.0"
|
||||
description = "Multilingual text embeddings"
|
||||
version = "3.1.1"
|
||||
description = "State-of-the-Art Text Embeddings"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "sentence_transformers-3.1.0-py3-none-any.whl", hash = "sha256:94ff19c478ada7340ee8bd5ed46db1e322f8c98a16b04a337634956ac9d4530d"},
|
||||
{file = "sentence_transformers-3.1.0.tar.gz", hash = "sha256:5e5b7bd84c634c11cb127b840ff96215a456de2dc9c5ecf97ecfa67002b1116f"},
|
||||
{file = "sentence_transformers-3.1.1-py3-none-any.whl", hash = "sha256:c73bf6f17e3676bb9372a6133a254ebfb5907586b470f2bac5a840c64c3cf97e"},
|
||||
{file = "sentence_transformers-3.1.1.tar.gz", hash = "sha256:8f00020ef4ad6b918475c38af545c22f61403b67eb22d994860bab06902db160"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
huggingface-hub = ">=0.19.3"
|
||||
numpy = "<2.0.0"
|
||||
Pillow = "*"
|
||||
scikit-learn = "*"
|
||||
scipy = "*"
|
||||
@ -6001,13 +6000,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "sympy"
|
||||
version = "1.13.2"
|
||||
version = "1.13.3"
|
||||
description = "Computer algebra system (CAS) in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "sympy-1.13.2-py3-none-any.whl", hash = "sha256:c51d75517712f1aed280d4ce58506a4a88d635d6b5dd48b39102a7ae1f3fcfe9"},
|
||||
{file = "sympy-1.13.2.tar.gz", hash = "sha256:401449d84d07be9d0c7a46a64bd54fe097667d5e7181bfe67ec777be9e01cb13"},
|
||||
{file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
|
||||
{file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
||||
Loading…
Reference in New Issue
Block a user