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Code Issues Packages Projects Releases Wiki Activity

Batch apply poetry lock --no-update for all templates (#12531)

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Ran the following bash script for all templates

```bash
#!/bin/bash

set -e
current_dir="$(pwd)"
for directory in */; do
    if [ -d "$directory" ]; then
        (cd "$directory" && poetry lock --no-update)
    fi
done

cd "$current_dir"
```

Co-authored-by: Bagatur <baskaryan@gmail.com>
This commit is contained in:
David Duong
2023-10-30 23:18:53 +01:00
committed by GitHub
parent e914283cf9
commit d39b4b61b6
29 changed files with 8764 additions and 6842 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
templates/extraction-anthropic-functions/poetry.lock generated
View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
@@ -688,13 +688,13 @@ files = [
[[package]]
name = "langchain"
version = "0.0.313"
version = "0.0.325"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain-0.0.313-py3-none-any.whl", hash = "sha256:12d6797797e4b91e715a449da7eab2a094157180112680fdfaed0ae7c1614481"},
{file = "langchain-0.0.313.tar.gz", hash = "sha256:6ad3e366f8cc2ef97a63aecc86e265cc261f04e2bc5e0d3ef79fc99a8cd81248"},
{file = "langchain-0.0.325-py3-none-any.whl", hash = "sha256:666bc3614cf323bd09046f0a50eb6bdb86c8b0f1c65edb7163384877f3423b82"},
{file = "langchain-0.0.325.tar.gz", hash = "sha256:423bbbf6706486100e56b111206e5ba8d50b41b07e94ebf9946413d5fd038d9d"},
]
[package.dependencies]
@@ -703,7 +703,7 @@ anyio = "<4.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
dataclasses-json = ">=0.5.7,<0.7"
jsonpatch = ">=1.33,<2.0"
langsmith = ">=0.0.43,<0.1.0"
langsmith = ">=0.0.52,<0.1.0"
numpy = ">=1,<2"
pydantic = ">=1,<3"
PyYAML = ">=5.3"
@@ -719,7 +719,7 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
cohere = ["cohere (>=4,<5)"]
docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
embeddings = ["sentence-transformers (>=2,<3)"]
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "amazon-textract-caller (<2)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (>=0,<1)", "openapi-schema-pydantic (>=1.2,<2.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "amazon-textract-caller (<2)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (>=0,<1)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
javascript = ["esprima (>=4.0.1,<5.0.0)"]
llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
@@ -728,13 +728,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-experimental"
version = "0.0.33"
version = "0.0.36"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain_experimental-0.0.33-py3-none-any.whl", hash = "sha256:475a2e2f80186ad0102fee712f9c1f3e80ec06e8bd9927e492d6678ed86020ec"},
{file = "langchain_experimental-0.0.33.tar.gz", hash = "sha256:7ad08cf72f0184335f94ec72dd8d4bcca1c081f704ebdedd75000ea2c29a3874"},
{file = "langchain_experimental-0.0.36-py3-none-any.whl", hash = "sha256:1d683c63849408594ca9a641bdbaa954a8cbfaa1aa0a17feeb10ea77dd122fa0"},
{file = "langchain_experimental-0.0.36.tar.gz", hash = "sha256:c0b84334b42b67e7d6d2653afdefafb562993daf61abaa34cb75154931fdd3c1"},
]
[package.dependencies]
@@ -760,13 +760,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.0.43"
version = "0.0.53"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langsmith-0.0.43-py3-none-any.whl", hash = "sha256:27854bebdae6a35c88e1c1172e6abba27592287b70511aca2a953a59fade0e87"},
{file = "langsmith-0.0.43.tar.gz", hash = "sha256:f7705f13eb8ce3b8eb16c4d2b2760c62cfb9a3b3ab6aa0728afa84d26b2a6e55"},
{file = "langsmith-0.0.53-py3-none-any.whl", hash = "sha256:a090b1c7d7968fb8d2476ddd608a5171f0e812a82b1bca29ca136cdea375a74e"},
{file = "langsmith-0.0.53.tar.gz", hash = "sha256:a426a1d39843207a5dd3d72787b5304376541eb818509ee7909bbb696b072488"},
]
[package.dependencies]
@@ -1222,7 +1222,7 @@ files = [
]
[package.dependencies]
greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\""}
greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
typing-extensions = ">=4.2.0"
[package.extras]
@@ -1545,4 +1545,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "d1074c3acdaddfb907c425c9efe19686a995038b6ed8e7ea7b1543c5b9df7082"
content-hash = "a17ad28b0e4cf5eb66656229e3546f38ebe9c15cf63b5e7f388fb5f7ef632cc2"