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Sleeping
Sleeping
changed embedding model
Browse files- app.py +90 -23
- requirements.txt +257 -0
app.py
CHANGED
@@ -14,10 +14,22 @@ from langchain.vectorstores import Chroma
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from langchain.chains import RetrievalQA
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from langchain.document_loaders import PyPDFLoader
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from langchain.embeddings import HuggingFaceHubEmbeddings, OpenAIEmbeddings
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text_splitter = CharacterTextSplitter(chunk_size=350, chunk_overlap=0)
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@@ -27,6 +39,12 @@ flan_ul2 = OpenAI()
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global qa
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# embeddings = HuggingFaceHubEmbeddings()
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@@ -34,48 +52,97 @@ global qa
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def loading_pdf():
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return "Loading..."
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def pdf_changes(pdf_doc):
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embeddings = OpenAIEmbeddings()
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loader = PyPDFLoader(pdf_doc.name)
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documents = loader.load()
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texts = text_splitter.split_documents(documents)
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db = Chroma.from_documents(texts, embeddings)
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retriever = db.as_retriever()
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prompt_template = """You have been given a pdf or pdfs. You must search these pdfs.
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If you don't know the answer, just say that you don't know, don't try to make up an answer.
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Only answer the question.
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{context}
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Question: {query}
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Answer:"""
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PROMPT = PromptTemplate(
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)
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global qa
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qa = RetrievalQA.from_chain_type(
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return "Ready"
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def add_text(history, text):
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history = history + [(text, None)]
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return history, ""
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def bot(history):
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response = infer(history[-1][0])
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def infer(question):
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query = question
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result = qa({"query": query})
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return result
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from langchain.chains import RetrievalQA
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from langchain.document_loaders import PyPDFLoader
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from langchain.memory import VectorStoreRetrieverMemory
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from langchain.chains import RetrievalQAWithSourcesChain
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from langchain.memory import ConversationBufferMemory
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from langchain.embeddings import CohereEmbeddings
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from langchain.embeddings import HuggingFaceHubEmbeddings, OpenAIEmbeddings
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import dotenv
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import os
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dotenv.load_dotenv()
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text_splitter = CharacterTextSplitter(chunk_size=350, chunk_overlap=0)
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global qa
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# embeddings = HuggingFaceHubEmbeddings()
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COHERE_API_KEY = os.getenv("COHERE_API_KEY")
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embeddings = CohereEmbeddings(
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model="embed-english-light-v3.0",
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cohere_api_key=COHERE_API_KEY
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)
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def loading_pdf():
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return "Loading..."
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def pdf_changes(pdf_doc):
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# embeddings = OpenAIEmbeddings()
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# embeddings = HuggingFaceHubEmbeddings()
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embeddings = CohereEmbeddings(
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model="embed-english-light-v3.0",
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# cohere_api_key=COHERE_API_KEY
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)
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loader = PyPDFLoader(pdf_doc.name)
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documents = loader.load()
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texts = text_splitter.split_documents(documents)
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db = Chroma.from_documents(texts, embeddings)
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retriever = db.as_retriever()
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# memory = VectorStoreRetrieverMemory(retriever=retriever)
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memory = ConversationBufferMemory(memory_key="chat_history", input_key="human_input")
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# prompt_template = """You have been given a pdf or pdfs. You must search these pdfs.
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# If you don't know the answer, just say that you don't know, don't try to make up an answer.
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# Only answer the question.
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# Question: {query}
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# Answer:"""
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# PROMPT = PromptTemplate(
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# template=prompt_template, input_variables=["context", "question"]
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# )
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# template = """You are a chatbot having a conversation with a human.\n\nGiven the following extracted parts of a long document and a question, create a final answer.\n\n{context}\n\n{chat_history}\nHuman: {human_input}\nChatbot:"""
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template = """
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You are the friendly documentation buddy Arti, who helps the Human in using RAY, the open-source unified framework for scaling AI and Python applications.\
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Use the following context (delimited by <ctx></ctx>) and the chat history (delimited by <hs></hs>) to answer the question :
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------
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<ctx>
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{context}
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</ctx>
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------
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<hs>
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{history}
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</hs>
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------
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{question}
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Answer:
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"""
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prompt = PromptTemplate(input_variables=["chat_history", "human_input", "context"], template=template)
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chain_type_kwargs = {"prompt": prompt}
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global qa
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# qa = RetrievalQA.from_chain_type(
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# llm=flan_ul2,
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# memory=memory,
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# chain_type="stuff",
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# retriever=retriever,
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# return_source_documents=True,
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# chain_type_kwargs=chain_type_kwargs,
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# )
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prompt = PromptTemplate(
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input_variables=["history", "context", "question"],
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template=template,
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)
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memory = ConversationBufferMemory(memory_key="history", input_key="question")
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qa = RetrievalQAWithSourcesChain.from_chain_type(llm=flan_ul2, retriever=retriever, return_source_documents=True, verbose=True, chain_type_kwargs={
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"verbose": True,
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"memory": memory,
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"prompt": prompt,
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"document_variable_name": "context"
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}
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)
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return "Ready"
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def add_text(history, text):
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history = history + [(text, None)]
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return history, ""
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# def bot(history):
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# response = infer(history[-1][0])
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# history[-1][1] = response['result']
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# return history
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def bot(history):
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response = infer(history[-1][0], history)
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sources = [doc.metadata.get("source") for doc in response['source_documents']]
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src_list = '\n'.join(sources)
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print_this = response['answer'] + "\n\n\n Sources: \n\n\n" + src_list
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def infer(question, history):
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query = question
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# result = qa({"query": query, "context":""})
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# result = qa({"query": query, })
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result = qa({"query": query, "history": history, "question": question})
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return result
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requirements.txt
CHANGED
@@ -500,3 +500,260 @@ xkit==0.0.0
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yarl==1.9.2
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yaspin==3.0.1
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zipp==1.0.0
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yarl==1.9.2
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yaspin==3.0.1
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zipp==1.0.0
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aiofiles==23.2.1
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aiohttp==3.9.1
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aiosignal==1.3.1
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aiostream==0.5.2
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altair==5.1.2
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annotated-types==0.5.0
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anyio==3.7.1
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appdirs==1.4.4
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argcomplete==1.8.1
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astor==0.8.1
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asttokens==2.4.1
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async-timeout==4.0.3
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asyncer==0.0.2
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attrs==23.1.0
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auth0-python==4.4.2
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Babel==2.8.0
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backoff==2.2.1
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beautiful-date==2.2.1
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beautifulsoup4==4.12.2
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bidict==0.22.1
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blessed==1.20.0
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blinker==1.4
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Brotli==1.0.9
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CacheControl==0.12.10
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cachetools==5.3.1
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cachy==0.3.0
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certifi==2023.7.22
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cffi==1.15.1
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chardet==4.0.0
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charset-normalizer==3.2.0
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cleo==0.8.1
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click==8.1.7
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clikit==0.6.2
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cohere==4.37
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colorama==0.4.4
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comm==0.2.0
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command-not-found==0.3
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contourpy==1.2.0
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crashtest==0.3.1
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cryptography==41.0.3
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cycler==0.12.1
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dataclasses-json==0.5.14
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545 |
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dbus-python==1.2.18
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debugpy==1.8.0
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547 |
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decorator==5.1.1
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Deprecated==1.2.14
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549 |
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distlib==0.3.4
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550 |
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distro==1.7.0
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551 |
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distro-info==1.1+ubuntu0.1
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552 |
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exceptiongroup==1.1.3
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553 |
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executing==2.0.1
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554 |
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fastapi==0.104.1
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555 |
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fastapi-socketio==0.0.10
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556 |
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fastavro==1.9.1
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557 |
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ffmpy==0.3.1
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558 |
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filelock==3.6.0
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559 |
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filetype==1.2.0
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560 |
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fonttools==4.44.3
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561 |
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frozenlist==1.4.0
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562 |
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fsspec==2023.10.0
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563 |
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gcsa==2.1.0
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564 |
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gdown==4.7.1
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565 |
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git-python==1.0.3
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566 |
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gitdb==4.0.11
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567 |
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GitPython==3.1.40
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568 |
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google-api-core==2.11.1
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569 |
+
google-api-python-client==2.99.0
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570 |
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google-auth==2.23.0
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571 |
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google-auth-httplib2==0.1.1
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572 |
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google-auth-oauthlib==0.8.0
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573 |
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googleapis-common-protos==1.60.0
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574 |
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gradio==4.4.1
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575 |
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gradio_client==0.7.0
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576 |
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graphviz==0.14.2
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577 |
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greenlet==2.0.2
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578 |
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grpcio==1.58.0
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579 |
+
gyp==0.1
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580 |
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h11==0.14.0
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581 |
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html2image==2.0.4.3
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582 |
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html5lib==1.1
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583 |
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httpcore==0.18.0
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584 |
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httplib2==0.20.2
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585 |
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httpx==0.25.0
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586 |
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huggingface-hub==0.19.4
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587 |
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idna==3.4
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588 |
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importlib-metadata==6.8.0
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589 |
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importlib-resources==6.1.1
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590 |
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inquirer==3.1.4
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591 |
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ipykernel==6.26.0
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592 |
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ipython==8.18.0
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593 |
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jedi==0.19.1
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594 |
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jeepney==0.7.1
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595 |
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Jinja2==3.1.2
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596 |
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joblib==1.3.2
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597 |
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jsonschema==4.19.2
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598 |
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jsonschema-specifications==2023.7.1
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599 |
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jupyter_client==8.6.0
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600 |
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jupyter_core==5.5.0
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601 |
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keyring==21.8.0
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602 |
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kiwisolver==1.4.5
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603 |
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langchain==0.0.281
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604 |
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langsmith==0.0.33
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605 |
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launchpadlib==1.10.16
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606 |
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Lazify==0.4.0
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607 |
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lazr.restfulclient==0.14.4
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608 |
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lazr.uri==1.0.6
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609 |
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litellm==0.13.2
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610 |
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livereload==2.6.3
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611 |
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llama-index==0.9.13
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612 |
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lockfile==0.12.2
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613 |
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Markdown==3.3.6
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614 |
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markdown-it-py==3.0.0
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615 |
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MarkupSafe==2.0.1
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616 |
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marshmallow==3.20.1
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617 |
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matplotlib==3.8.2
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618 |
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matplotlib-inline==0.1.6
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619 |
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mdurl==0.1.2
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620 |
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mkdocs==1.1.2
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621 |
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more-itertools==8.10.0
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622 |
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msgpack==1.0.3
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623 |
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multidict==6.0.4
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624 |
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mutagen==1.45.1
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625 |
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mypy-extensions==1.0.0
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626 |
+
nest-asyncio==1.5.8
|
627 |
+
netifaces==0.11.0
|
628 |
+
nltk==3.8.1
|
629 |
+
nodeenv==1.8.0
|
630 |
+
numexpr==2.8.5
|
631 |
+
numpy==1.25.2
|
632 |
+
oauthlib==3.2.0
|
633 |
+
open-interpreter==0.1.15
|
634 |
+
openai==1.3.8
|
635 |
+
openapi-schema-pydantic==1.2.4
|
636 |
+
opentelemetry-api==1.20.0
|
637 |
+
opentelemetry-exporter-otlp==1.20.0
|
638 |
+
opentelemetry-exporter-otlp-proto-common==1.20.0
|
639 |
+
opentelemetry-exporter-otlp-proto-grpc==1.20.0
|
640 |
+
opentelemetry-exporter-otlp-proto-http==1.20.0
|
641 |
+
opentelemetry-instrumentation==0.40b0
|
642 |
+
opentelemetry-proto==1.20.0
|
643 |
+
opentelemetry-sdk==1.20.0
|
644 |
+
opentelemetry-semantic-conventions==0.41b0
|
645 |
+
orjson==3.9.10
|
646 |
+
packaging==20.9
|
647 |
+
pandas==2.1.3
|
648 |
+
parso==0.8.3
|
649 |
+
pastel==0.2.1
|
650 |
+
pexpect==4.8.0
|
651 |
+
Pillow==10.1.0
|
652 |
+
pipdeptree==2.2.0
|
653 |
+
pkginfo==1.8.2
|
654 |
+
platformdirs==2.5.1
|
655 |
+
poetry==1.1.12
|
656 |
+
poetry-core==1.0.7
|
657 |
+
prisma==0.10.0
|
658 |
+
prompt-toolkit==3.0.41
|
659 |
+
protobuf==4.24.3
|
660 |
+
psutil==5.9.6
|
661 |
+
ptyprocess==0.7.0
|
662 |
+
pure-eval==0.2.2
|
663 |
+
pyarrow==14.0.1
|
664 |
+
pyasn1==0.5.0
|
665 |
+
pyasn1-modules==0.3.0
|
666 |
+
pycparser==2.21
|
667 |
+
pycryptodomex==3.11.0
|
668 |
+
pydantic==2.5.2
|
669 |
+
pydantic_core==2.14.5
|
670 |
+
pydeck==0.8.1b0
|
671 |
+
pydub==0.25.1
|
672 |
+
PyGithub==2.1.1
|
673 |
+
Pygments==2.16.1
|
674 |
+
PyGObject==3.42.1
|
675 |
+
pyinotify==0.9.6
|
676 |
+
PyJWT==2.8.0
|
677 |
+
pylev==1.2.0
|
678 |
+
PyNaCl==1.5.0
|
679 |
+
pyOpenSSL==23.2.0
|
680 |
+
pyparsing==2.4.7
|
681 |
+
PySocks==1.7.1
|
682 |
+
python-apt==2.4.0+ubuntu2
|
683 |
+
python-dateutil==2.8.2
|
684 |
+
python-dotenv==1.0.0
|
685 |
+
python-editor==1.0.4
|
686 |
+
python-engineio==4.7.0
|
687 |
+
python-graphql-client==0.4.3
|
688 |
+
python-multipart==0.0.6
|
689 |
+
python-socketio==5.9.0
|
690 |
+
pytz==2022.1
|
691 |
+
pytz-deprecation-shim==0.1.0.post0
|
692 |
+
pyxattr==0.7.2
|
693 |
+
PyYAML==6.0.1
|
694 |
+
pyzmq==25.1.1
|
695 |
+
readchar==4.0.5
|
696 |
+
referencing==0.30.2
|
697 |
+
regex==2023.10.3
|
698 |
+
requests==2.31.0
|
699 |
+
requests-oauthlib==1.3.1
|
700 |
+
requests-toolbelt==0.9.1
|
701 |
+
rich==13.6.0
|
702 |
+
rpds-py==0.12.0
|
703 |
+
rsa==4.9
|
704 |
+
screen-resolution-extra==0.0.0
|
705 |
+
SecretStorage==3.3.1
|
706 |
+
semantic-version==2.10.0
|
707 |
+
shellingham==1.4.0
|
708 |
+
six==1.16.0
|
709 |
+
smmap==5.0.1
|
710 |
+
sniffio==1.3.0
|
711 |
+
soupsieve==2.5
|
712 |
+
speedtest-cli==2.1.3
|
713 |
+
SQLAlchemy==2.0.20
|
714 |
+
stack-data==0.6.3
|
715 |
+
starlette==0.27.0
|
716 |
+
streamlit==1.28.1
|
717 |
+
syncer==2.0.3
|
718 |
+
systemd-python==234
|
719 |
+
tenacity==8.2.3
|
720 |
+
termcolor==2.3.0
|
721 |
+
tiktoken==0.4.0
|
722 |
+
tokenizers==0.15.0
|
723 |
+
tokentrim==0.1.13
|
724 |
+
toml==0.10.2
|
725 |
+
tomli==2.0.1
|
726 |
+
tomlkit==0.12.0
|
727 |
+
toolz==0.12.0
|
728 |
+
tornado==6.3.3
|
729 |
+
tqdm==4.66.1
|
730 |
+
traitlets==5.13.0
|
731 |
+
typer==0.9.0
|
732 |
+
typing-inspect==0.9.0
|
733 |
+
typing_extensions==4.8.0
|
734 |
+
tzdata==2023.3
|
735 |
+
tzlocal==4.3.1
|
736 |
+
ubuntu-advantage-tools==8001
|
737 |
+
ubuntu-drivers-common==0.0.0
|
738 |
+
ufw==0.36.1
|
739 |
+
unattended-upgrades==0.1
|
740 |
+
uptrace==1.20.0
|
741 |
+
uritemplate==4.1.1
|
742 |
+
urllib3==2.0.4
|
743 |
+
userpath==1.8.0
|
744 |
+
uvicorn==0.23.2
|
745 |
+
validators==0.22.0
|
746 |
+
virtualenv==20.13.0+ds
|
747 |
+
wadllib==1.3.6
|
748 |
+
watchdog==3.0.0
|
749 |
+
watchfiles==0.20.0
|
750 |
+
wcwidth==0.2.12
|
751 |
+
webencodings==0.5.1
|
752 |
+
websocket-client==1.6.4
|
753 |
+
websockets==11.0.3
|
754 |
+
wget==3.2
|
755 |
+
wrapt==1.15.0
|
756 |
+
xkit==0.0.0
|
757 |
+
yarl==1.9.2
|
758 |
+
yaspin==3.0.1
|
759 |
+
zipp==1.0.0
|