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docs: notebook linting (#14366)
Many jupyter notebooks didn't pass linting. List of these files are presented in the [tool.ruff.lint.per-file-ignores] section of the pyproject.toml . Addressed these bugs: - fixed bugs; added missed imports; updated pyproject.toml Only the `document_loaders/tensorflow_datasets.ipyn`, `cookbook/gymnasium_agent_simulation.ipynb` are not completely fixed. I'm not sure about imports. --------- Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
@@ -31,7 +31,7 @@
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"source": [
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"import re\n",
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"\n",
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"from IPython.display import Image\n",
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"from IPython.display import Image, display\n",
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"from steamship import Block, Steamship"
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]
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},
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@@ -180,7 +180,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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@@ -37,7 +37,8 @@
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"source": [
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"#!pip install qianfan\n",
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"#!pip install bce-python-sdk\n",
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"#!pip install elasticsearch == 7.11.0"
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"#!pip install elasticsearch == 7.11.0\n",
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"#!pip install sentence-transformers"
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]
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},
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{
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@@ -54,8 +55,10 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"import sentence_transformers\n",
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"from baidubce.auth.bce_credentials import BceCredentials\n",
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"from baidubce.bce_client_configuration import BceClientConfiguration\n",
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"from langchain.chains.retrieval_qa import RetrievalQA\n",
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"from langchain.document_loaders.baiducloud_bos_directory import BaiduBOSDirectoryLoader\n",
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"from langchain.embeddings.huggingface import HuggingFaceEmbeddings\n",
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"from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\n",
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@@ -161,15 +164,22 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"version": "3.9.17"
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
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@@ -177,5 +187,5 @@
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@@ -133,7 +133,7 @@
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"from tqdm import tqdm\n",
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"\n",
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"for i in tqdm(range(len(title_embeddings))):\n",
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" title = titles[i].replace(\"'\", \"''\")\n",
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" title = song_titles[i].replace(\"'\", \"''\")\n",
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" embedding = title_embeddings[i]\n",
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" sql_command = (\n",
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" f'UPDATE \"Track\" SET \"embeddings\" = ARRAY{embedding} WHERE \"Name\" ='\n",
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@@ -681,9 +681,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.18"
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@@ -187,7 +187,7 @@
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" for key in path:\n",
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" try:\n",
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" current = current[key]\n",
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" except:\n",
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" except KeyError:\n",
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" return None\n",
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" return current\n",
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"\n",
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