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public_repos
public_repos/langchain-nextjs-template/.eslintrc.json
{ "extends": "next/core-web-vitals" }
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public_repos
public_repos/langchain-nextjs-template/.prettierrc.json
{}
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public_repos
public_repos/langchain-nextjs-template/tsconfig.json
{ "compilerOptions": { "target": "es5", "lib": ["dom", "dom.iterable", "esnext"], "allowJs": true, "skipLibCheck": true, "strict": true, "forceConsistentCasingInFileNames": true, "noEmit": true, "esModuleInterop": true, "module": "esnext", "moduleResolution": "bundler", "re...
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public_repos
public_repos/langchain-nextjs-template/postcss.config.js
module.exports = { plugins: { tailwindcss: {}, autoprefixer: {}, }, }
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public_repos
public_repos/langchain-nextjs-template/.env.example
OPENAI_API_KEY="YOUR_API_KEY" # Required for agent example # SERPAPI_API_KEY="YOUR_API_KEY" # Required for retrieval examples # SUPABASE_PRIVATE_KEY="YOUR_SUPABASE_PRIVATE_KEY" # SUPABASE_URL="YOUR_SUPABASE_URL" # Optional: For Tracing with LangSmith # LANGCHAIN_TRACING_V2=true # LANGCHAIN_API_KEY=YOUR_API_KEY # LAN...
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public_repos
public_repos/langchain-nextjs-template/next.config.js
const withBundleAnalyzer = require('@next/bundle-analyzer')({ enabled: process.env.ANALYZE === 'true', }) module.exports = withBundleAnalyzer({})
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public_repos
public_repos/langchain-nextjs-template/README.md
# πŸ¦œοΈπŸ”— LangChain + Next.js Starter Template [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langchain-ai/langchain-nextjs-template) [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Flangchain-ai%2Fla...
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public_repos
public_repos/langchain-nextjs-template/LICENSE
MIT License Copyright (c) 2023 LangChain Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distrib...
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public_repos
public_repos/langchain-nextjs-template/package.json
{ "name": "langchain-nextjs-template", "version": "0.0.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "next lint", "format": "prettier --write \"app\"" }, "engines": { "node": ">=18" }, "dependencies": { "@next/bundl...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/app/layout.tsx
import "./globals.css"; import { Public_Sans } from "next/font/google"; import { Navbar } from "@/components/Navbar"; const publicSans = Public_Sans({ subsets: ["latin"] }); export default function RootLayout({ children, }: { children: React.ReactNode; }) { return ( <html lang="en"> <head> <t...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/app/page.tsx
import { ChatWindow } from "@/components/ChatWindow"; export default function Home() { const InfoCard = ( <div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden"> <h1 className="text-3xl md:text-4xl mb-4"> β–² Next.js + LangChain.js πŸ¦œπŸ”— </h1> <ul> <li ...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/app/globals.css
@tailwind base; @tailwind components; @tailwind utilities; body { color: #f8f8f8; background: #131318; } body input, body textarea { color: black; } a { color: #2d7bd4; } a:hover { border-bottom: 1px solid; } p { margin: 8px 0; } code { color: #ffa500; } li { padding: 4px; }
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public_repos/langchain-nextjs-template/app
public_repos/langchain-nextjs-template/app/retrieval_agents/page.tsx
import { ChatWindow } from "@/components/ChatWindow"; export default function AgentsPage() { const InfoCard = ( <div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden"> <h1 className="text-3xl md:text-4xl mb-4"> β–² Next.js + LangChain.js Retrieval Agent πŸ¦œπŸ”— </h1> ...
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public_repos/langchain-nextjs-template/app
public_repos/langchain-nextjs-template/app/structured_output/page.tsx
import { ChatWindow } from "@/components/ChatWindow"; export default function AgentsPage() { const InfoCard = ( <div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden"> <h1 className="text-3xl md:text-4xl mb-4"> β–² Next.js + LangChain.js Structured Output πŸ¦œπŸ”— </h1>...
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public_repos/langchain-nextjs-template/app
public_repos/langchain-nextjs-template/app/agents/page.tsx
import { ChatWindow } from "@/components/ChatWindow"; export default function AgentsPage() { const InfoCard = ( <div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden"> <h1 className="text-3xl md:text-4xl mb-4"> β–² Next.js + LangChain.js Agents πŸ¦œπŸ”— </h1> <ul>...
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public_repos/langchain-nextjs-template/app/api
public_repos/langchain-nextjs-template/app/api/chat/route.ts
import { NextRequest, NextResponse } from "next/server"; import { Message as VercelChatMessage, StreamingTextResponse } from "ai"; import { ChatOpenAI } from "langchain/chat_models/openai"; import { BytesOutputParser } from "langchain/schema/output_parser"; import { PromptTemplate } from "langchain/prompts"; export c...
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public_repos/langchain-nextjs-template/app/api/chat
public_repos/langchain-nextjs-template/app/api/chat/retrieval_agents/route.ts
import { NextRequest, NextResponse } from "next/server"; import { Message as VercelChatMessage, StreamingTextResponse } from "ai"; import { createClient } from "@supabase/supabase-js"; import { ChatOpenAI } from "langchain/chat_models/openai"; import { SupabaseVectorStore } from "langchain/vectorstores/supabase"; imp...
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public_repos/langchain-nextjs-template/app/api/chat
public_repos/langchain-nextjs-template/app/api/chat/structured_output/route.ts
import { NextRequest, NextResponse } from "next/server"; import { z } from "zod"; import { zodToJsonSchema } from "zod-to-json-schema"; import { ChatOpenAI } from "langchain/chat_models/openai"; import { PromptTemplate } from "langchain/prompts"; import { JsonOutputFunctionsParser } from "langchain/output_parsers"; ...
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public_repos/langchain-nextjs-template/app/api/chat
public_repos/langchain-nextjs-template/app/api/chat/agents/route.ts
import { NextRequest, NextResponse } from "next/server"; import { Message as VercelChatMessage, StreamingTextResponse } from "ai"; import { initializeAgentExecutorWithOptions } from "langchain/agents"; import { ChatOpenAI } from "langchain/chat_models/openai"; import { SerpAPI } from "langchain/tools"; import { Calcul...
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public_repos/langchain-nextjs-template/app/api/chat
public_repos/langchain-nextjs-template/app/api/chat/retrieval/route.ts
import { NextRequest, NextResponse } from "next/server"; import { Message as VercelChatMessage, StreamingTextResponse } from "ai"; import { createClient } from "@supabase/supabase-js"; import { ChatOpenAI } from "langchain/chat_models/openai"; import { PromptTemplate } from "langchain/prompts"; import { SupabaseVecto...
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public_repos/langchain-nextjs-template/app/api/retrieval
public_repos/langchain-nextjs-template/app/api/retrieval/ingest/route.ts
import { NextRequest, NextResponse } from "next/server"; import { RecursiveCharacterTextSplitter } from "langchain/text_splitter"; import { createClient } from "@supabase/supabase-js"; import { SupabaseVectorStore } from "langchain/vectorstores/supabase"; import { OpenAIEmbeddings } from "langchain/embeddings/openai";...
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public_repos/langchain-nextjs-template/app
public_repos/langchain-nextjs-template/app/retrieval/page.tsx
import { ChatWindow } from "@/components/ChatWindow"; export default function AgentsPage() { const InfoCard = ( <div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden"> <h1 className="text-3xl md:text-4xl mb-4"> β–² Next.js + LangChain.js Retrieval Chain πŸ¦œπŸ”— </h1> ...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/data/DefaultRetrievalText.ts
export default `# QA and Chat over Documents Chat and Question-Answering (QA) over \`data\` are popular LLM use-cases. \`data\` can include many things, including: * \`Unstructured data\` (e.g., PDFs) * \`Structured data\` (e.g., SQL) * \`Code\` (e.g., Python) Below we will review Chat and QA on \`Unstructured data...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/components/UploadDocumentsForm.tsx
"use client"; import { useState, type FormEvent } from "react"; import DEFAULT_RETRIEVAL_TEXT from "@/data/DefaultRetrievalText"; export function UploadDocumentsForm() { const [isLoading, setIsLoading] = useState(false); const [document, setDocument] = useState(DEFAULT_RETRIEVAL_TEXT); const ingest = async (e: ...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/components/ChatMessageBubble.tsx
import type { Message } from "ai/react"; export function ChatMessageBubble(props: { message: Message, aiEmoji?: string, sources: any[] }) { const colorClassName = props.message.role === "user" ? "bg-sky-600" : "bg-slate-50 text-black"; const alignmentClassName = props.message.role === "user" ? "ml-auto" : ...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/components/Navbar.tsx
"use client"; import { usePathname } from 'next/navigation'; export function Navbar() { const pathname = usePathname(); return ( <nav className="mb-4"> <a className={`mr-4 ${pathname === "/" ? "text-white border-b" : ""}`} href="/">πŸ΄β€β˜ οΈ Chat</a> <a className={`mr-4 ${pathname === "/structured_out...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/components/IntermediateStep.tsx
import { useState } from "react"; import type { Message } from "ai/react"; import type { AgentStep } from "langchain/schema"; export function IntermediateStep(props: { message: Message }) { const parsedInput: AgentStep = JSON.parse(props.message.content); const action = parsedInput.action; const observation = pa...
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public_repos/langchain-nextjs-template
public_repos/langchain-nextjs-template/components/ChatWindow.tsx
"use client"; import { ToastContainer, toast } from 'react-toastify'; import 'react-toastify/dist/ReactToastify.css'; import { useChat } from "ai/react"; import { useRef, useState, ReactElement } from "react"; import type { FormEvent } from "react"; import type { AgentStep } from "langchain/schema"; import { ChatMes...
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public_repos
public_repos/pandas-msgpack/MANIFEST.in
include MANIFEST.in include README.rst include LICENSE.md include setup.py graft pandas_msgpack global-exclude *.so global-exclude *.pyd global-exclude *.pyc global-exclude *~ global-exclude \#* global-exclude .git* global-exclude .DS_Store global-exclude *.png include versioneer.py include pandas_msgpack/_version.p...
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public_repos
public_repos/pandas-msgpack/README.rst
pandas-msgpack ============== THIS LIBRARY IS NO LONGER IN DEVELOPMENT OR MAINTAINED ------------------------------------------------------ |Travis Build Status| |Appveyor Build Status| |Version Status| |Coverage Status| **pandas-msgpack** is a package providing an interface to msgpack from pandas Installation ---...
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public_repos
public_repos/pandas-msgpack/setup.cfg
# See the docstring in versioneer.py for instructions. Note that you must # re-run 'versioneer.py setup' after changing this section, and commit the # resulting files. [versioneer] VCS = git style = pep440 versionfile_source = pandas_msgpack/_version.py versionfile_build = pandas_msgpack/_version.py tag_prefix = pare...
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public_repos
public_repos/pandas-msgpack/setup.py
#!/usr/bin/env python # -*- coding: utf-8 -*- import sys from setuptools import setup import pkg_resources from distutils.extension import Extension from distutils.command.build_ext import build_ext as build_ext NAME = 'pandas-msgpack' def is_platform_windows(): return sys.platform == 'win32' or sys.platform == ...
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public_repos
public_repos/pandas-msgpack/.travis.yml
sudo: false language: python env: - PYTHON=2.7 PANDAS=0.19.2 - PYTHON=3.4 PANDAS=0.19.2 - PYTHON=3.5 PANDAS=0.19.2 COVERAGE='true' - PYTHON=3.6 PANDAS='master' LINT='true' before_install: - echo "before_install" - export PATH="$HOME/miniconda3/bin:$PATH" - df -h - pwd - uname -a - git --version ...
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public_repos
public_repos/pandas-msgpack/test.sh
#!/bin/sh pytest pandas_msgpack "$@"
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public_repos
public_repos/pandas-msgpack/requirements.txt
pandas>=0.19.2
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public_repos
public_repos/pandas-msgpack/appveyor.yml
# With infos from # http://tjelvarolsson.com/blog/how-to-continuously-test-your-python-code-on-windows-using-appveyor/ # https://packaging.python.org/en/latest/appveyor/ # https://github.com/rmcgibbo/python-appveyor-conda-example # Backslashes in quotes need to be escaped: \ -> "\\" matrix: fast_finish: true # ...
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public_repos
public_repos/pandas-msgpack/release-procedure.md
* Tag commit git tag -a x.x.x -m 'Version x.x.x' * and push to github git push origin master --tags * Upload to PyPI git clean -xfd python setup.py register sdist --formats=gztar twine upload dist/* * Do a pull-request to the feedstock on `pandas-msgpack-feedstock <ht...
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public_repos
public_repos/pandas-msgpack/test.bat
:: test on windows pytest pandas_msgpack %*
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public_repos
public_repos/pandas-msgpack/codecov.yml
coverage: status: project: default: target: '30' patch: default: target: '50' branches: null
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public_repos
public_repos/pandas-msgpack/versioneer.py
# Version: 0.18 """The Versioneer - like a rocketeer, but for versions. The Versioneer ============== * like a rocketeer, but for versions! * https://github.com/warner/python-versioneer * Brian Warner * License: Public Domain * Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy * [![Latest Version] ...
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public_repos
public_repos/pandas-msgpack/LICENSE.md
======= License ======= pandas-msgpack is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright (c) 2011-2012, Lambda Foundr...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/ci/requirements-2.7.pip
blosc sqlalchemy
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/ci/requirements-3.6.pip
blosc sqlalchemy
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/ci/install_travis.sh
#!/bin/bash # install miniconda MINICONDA_DIR="$HOME/miniconda3" if [ -d "$MINICONDA_DIR" ]; then rm -rf "$MINICONDA_DIR" fi # install miniconda if [ "${TRAVIS_OS_NAME}" == "osx" ]; then wget http://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh || exit 1 else wget http://...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/ci/run_with_env.cmd
:: EXPECTED ENV VARS: PYTHON_ARCH (either x86 or x64) :: CONDA_PY (either 27, 33, 35 etc. - only major version is extracted) :: :: :: To build extensions for 64 bit Python 3, we need to configure environment :: variables to use the MSVC 2010 C++ compilers from GRMSDKX_EN_DVD.iso of: :: MS Windows SDK...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/ci/install.ps1
# Sample script to install Miniconda under Windows # Authors: Olivier Grisel, Jonathan Helmus and Kyle Kastner, Robert McGibbon # License: CC0 1.0 Universal: http://creativecommons.org/publicdomain/zero/1.0/ $MINICONDA_URL = "http://repo.continuum.io/miniconda/" function DownloadMiniconda ($python_version, $platform...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/pandas_msgpack/packers.py
""" Msgpack serializer support for reading and writing pandas data structures to disk portions of msgpack_numpy package, by Lev Givon were incorporated into this module (and tests_packers.py) License ======= Copyright (c) 2013, Lev Givon. All rights reserved. Redistribution and use in source and binary forms, with ...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/pandas_msgpack/move.c
#include <Python.h> #define COMPILING_IN_PY2 (PY_VERSION_HEX <= 0x03000000) #if !COMPILING_IN_PY2 /* alias this because it is not aliased in Python 3 */ #define PyString_CheckExact PyBytes_CheckExact #define PyString_AS_STRING PyBytes_AS_STRING #define PyString_GET_SIZE PyBytes_GET_SIZE /* in python 3, we cannot int...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/pandas_msgpack/_version.py
# This file helps to compute a version number in source trees obtained from # git-archive tarball (such as those provided by githubs download-from-tag # feature). Distribution tarballs (built by setup.py sdist) and build # directories (produced by setup.py build) will contain a much shorter file # that just contains t...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/pandas_msgpack/__init__.py
# flake8: noqa # pandas versioning import pandas from distutils.version import LooseVersion pv = LooseVersion(pandas.__version__) if pv < '0.19.0': raise ValueError("pandas_msgpack requires at least pandas 0.19.0") _is_pandas_legacy_version = pv.version[1] == 19 and len(pv.version) == 3 from .packers import to_...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/includes/unpack_define.h
/* * MessagePack unpacking routine template * * Copyright (C) 2008-2010 FURUHASHI Sadayuki * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/l...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/includes/sysdep.h
/* * MessagePack system dependencies * * Copyright (C) 2008-2010 FURUHASHI Sadayuki * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/includes/unpack.h
/* * MessagePack for Python unpacking routine * * Copyright (C) 2009 Naoki INADA * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LI...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/includes/pack_template.h
/* * MessagePack packing routine template * * Copyright (C) 2008-2010 FURUHASHI Sadayuki * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/lic...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/includes/unpack_template.h
/* * MessagePack unpacking routine template * * Copyright (C) 2008-2010 FURUHASHI Sadayuki * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/l...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/includes/pack.h
/* * MessagePack for Python packing routine * * Copyright (C) 2009 Naoki INADA * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICE...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/tests/test_packers.py
import pytest import os import datetime import numpy as np import sys from distutils.version import LooseVersion from pandas_msgpack import _is_pandas_legacy_version from pandas_msgpack import to_msgpack, read_msgpack from pandas import compat from pandas.compat import u, PY3 from pandas import (Series, DataFrame, P...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/_packer.pyx
# coding: utf-8 #cython: embedsignature=True from cpython cimport * from libc.stdlib cimport * from libc.string cimport * from libc.limits cimport * from .exceptions import PackValueError from . import ExtType cdef extern from "../includes/pack.h": struct msgpack_packer: char* buf size_t length ...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/_unpacker.pyx
# coding: utf-8 #cython: embedsignature=True from cpython cimport * cdef extern from "Python.h": ctypedef struct PyObject cdef int PyObject_AsReadBuffer(object o, const void** buff, Py_ssize_t* buf_len) except -1 from libc.stdlib cimport * from libc.string cimport * from lib...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/exceptions.py
class UnpackException(Exception): pass class BufferFull(UnpackException): pass class OutOfData(UnpackException): pass class UnpackValueError(UnpackException, ValueError): pass class ExtraData(ValueError): def __init__(self, unpacked, extra): self.unpacked = unpacked self.ext...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/_version.py
version = (0, 4, 6)
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/_packer.cpp
/* Generated by Cython 0.25.2 */ /* BEGIN: Cython Metadata { "distutils": { "define_macros": [ [ "__LITTLE_ENDIAN__", "1" ] ], "depends": [ "pandas_msgpack/includes/pack.h", "pandas_msgpack/includes/pack_temp...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/__init__.py
# coding: utf-8 from collections import namedtuple from pandas_msgpack.msgpack.exceptions import * # noqa from pandas_msgpack.msgpack._version import version # noqa class ExtType(namedtuple('ExtType', 'code data')): """ExtType represents ext type in msgpack.""" def __new__(cls, code, data): if not...
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public_repos/pandas-msgpack/pandas_msgpack
public_repos/pandas-msgpack/pandas_msgpack/msgpack/_unpacker.cpp
/* Generated by Cython 0.25.2 */ /* BEGIN: Cython Metadata { "distutils": { "define_macros": [ [ "__LITTLE_ENDIAN__", "1" ] ], "depends": [ "pandas_msgpack/includes/unpack.h", "pandas_msgpack/includes/unpack_...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/docs/README.rst
To build a local copy of the pandas-msgpack docs, install the programs in requirements-docs.txt and run 'make html'. If you use the conda package manager these commands suffice:: git clone git@github.com:pydata/pandas-msgpack.git cd dask/docs conda create -n pandas-msgpack-docs --file requirements-docs.txt sou...
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public_repos/pandas-msgpack
public_repos/pandas-msgpack/docs/requirements-docs.txt
matplotlib ipython numpydoc sphinx sphinx_rtd_theme pandas blosc cython
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/api.rst
.. currentmodule:: pandas_msgpack .. _api: ************* API Reference ************* .. autosummary:: read_msgpack to_msgpack .. autofunction:: read_msgpack .. autofunction:: to_msgpack
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/Makefile
# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = _build # Internal variables. PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d $(BUILDDIR)/do...
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/install.rst
Installation ============ You can install pandas-msgpack with ``conda``, ``pip``, or by installing from source. Conda ----- .. code-block:: shell $ conda install pandas-msgpack --channel conda-forge This installs pandas-msgpack and all common dependencies, including ``pandas``. Pip --- To install the latest v...
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/changelog.rst
Changelog ========= 0.1.4 / 2017-03-30 ------------------ Initial release of transfered code from `pandas <https://github.com/pandas-dev/pandas>`__ Includes patches since the 0.19.2 release on pandas with the following: - Bug in ``read_msgpack()`` in which ``Series`` categoricals were being improperly processed, se...
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/index.rst
.. pandas-msgpack documentation master file, created by sphinx-quickstart on Wed Feb 8 10:52:12 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to pandas-msgpack's documentation! ========================================== The :mod...
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/compression.rst
.. _compression: .. ipython:: python :suppress: import pandas as pd import os Compression ----------- Optionally, a ``compression`` argument will compress the resulting bytes. These can take a bit more time to write. The available compressors are ``zlib`` and `blosc <https://pypi.python.org/pypi/blosc>`__....
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/read_write.rst
.. _read_write: .. ipython:: python :suppress: import pandas as pd Read/Write API -------------- Msgpacks can also be read from and written to strings. .. ipython:: python import pandas as pd from pandas_msgpack import to_msgpack, read_msgpack df = pd.DataFrame({'A': np.arange(10), ...
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/tutorial.rst
.. _tutorial: .. ipython:: python :suppress: import pandas as pd import os Tutorial -------- .. ipython:: python import pandas as pd from pandas_msgpack import to_msgpack, read_msgpack .. ipython:: python df = pd.DataFrame(np.random.rand(5,2), columns=list('AB')) to_msgpack('foo.msg', df) ...
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public_repos/pandas-msgpack/docs
public_repos/pandas-msgpack/docs/source/conf.py
# -*- coding: utf-8 -*- # # pandas-msgpack documentation build configuration file, created by # sphinx-quickstart on Wed Feb 8 10:52:12 2017. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file...
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public_repos/pandas-msgpack/docs/source
public_repos/pandas-msgpack/docs/source/_templates/layout.html
{% extends "!layout.html" %} {% set css_files = css_files + ["_static/style.css"] %}
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public_repos/pandas-msgpack/docs/source/_static/style.css
@import url("theme.css"); a.internal em {font-style: normal}
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public_repos/numpy-tutorials/environment.yml
name: numpy-tutorials channels: - conda-forge dependencies: # For running the tutorials - numpy - scipy - matplotlib - pandas - statsmodels - imageio # For building the site - sphinx - myst-nb - sphinx-book-theme - sphinx-copybutton
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public_repos/numpy-tutorials/runtime.txt
python-3.10
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public_repos/numpy-tutorials/ignore_testing
content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md content/pairing.md content/tutorial-style-guide.md content/tutorial-nlp-from-scratch.md
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public_repos/numpy-tutorials/LICENSE.txt
Copyright (c) 2005-2023, NumPy Developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and...
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public_repos
public_repos/numpy-tutorials/requirements.txt
# For the tutorials numpy scipy matplotlib pandas statsmodels imageio # For supporting .md-based notebooks jupytext
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public_repos/numpy-tutorials/test_requirements.txt
pytest nbval
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public_repos/numpy-tutorials/README.md
# NumPy tutorials _For the rendered tutorials, see https://numpy.org/numpy-tutorials/._ The goal of this repository is to provide high-quality resources by the NumPy project, both for self-learning and for teaching classes with. If you're interested in adding your own content, check the [Contributing](#contributing) ...
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public_repos
public_repos/numpy-tutorials/tox.ini
[tox] envlist = py{39,310,311}-test{,-oldestdeps,-devdeps,-predeps}{,-buildhtml} requires = pip >= 19.3.1 [testenv] description = run tests deps = # We use these files to specify all the dependencies, and below we override # versions for specific testing schenarios -rtest_requirements.txt -rs...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/make.bat
@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/contributing.md
# Contributing We very much welcome contributions! If you have an idea or proposal for a new tutorial, please [open an issue](https://github.com/numpy/numpy-tutorials/issues) with an outline. Don’t worry if English is not your first language, or if you can only come up with a rough draft. Open source is a community e...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/index.md
# NumPy tutorials [![Binder](https://mybinder.org/badge_logo.svg)][launch_binder] [launch_binder]: https://mybinder.org/v2/gh/numpy/numpy-tutorials/main?urlpath=lab/tree/content This set of tutorials and educational materials is being developed in the [numpy-tutorials](https://github.com/numpy/numpy-tutorials) repos...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/applications.md
# NumPy Applications A collection of highlighting the use of NumPy for applications in science, engineering, and data analysis. ```{toctree} --- maxdepth: 1 --- content/mooreslaw-tutorial content/tutorial-deep-learning-on-mnist content/tutorial-x-ray-image-processing content/tutorial-static_equilibrium content/tutor...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/requirements.txt
sphinx myst-nb sphinx-book-theme sphinx-copybutton
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/Makefile
# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . BUILDDIR = _build # Put it first so that "make" without argument is like "make help". help: @$(SP...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/articles.md
# Articles ```{admonition} Help improve the tutorials! Want to make a valuable contribution to the tutorials? Consider working on these articles so that they become fully executable/reproducible! ``` ```{toctree} content/tutorial-deep-reinforcement-learning-with-pong-from-pixels content/tutorial-nlp-from-scratch ``...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/conf.py
# Configuration file for the Sphinx documentation builder. # # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root,...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/site/features.md
# NumPy Features A collection of notebooks pertaining to built-in NumPy functionality. ```{toctree} --- maxdepth: 1 --- content/tutorial-svd content/save-load-arrays content/tutorial-ma ```
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public_repos/numpy-tutorials/site
public_repos/numpy-tutorials/site/_templates/layout.html
{% extends "!layout.html" %} {% block extrahead %} <meta name="robots" content="noindex" /> {{ super() }} {% endblock %}
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<?xml version="1.0" standalone="no"?> <!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"> <!--Generator: Xara Designer (www.xara.com), SVG filter version: 6.4.0.3--> <svg fill="none" fill-rule="evenodd" stroke="black" stroke-width="0.501" stroke-linejoin="bevel" stroke-mit...
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public_repos/numpy-tutorials/.circleci/config.yml
# See: https://circleci.com/docs/2.0/language-python/ version: 2 jobs: build-docs: working_directory: ~/repo docker: - image: cimg/python:3.10 steps: - checkout - run: name: Install Python dependencies command: | python3 -m venv venv source...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/content/tutorial-static_equilibrium.md
--- jupytext: text_representation: extension: .md format_name: myst format_version: 0.13 jupytext_version: 1.11.1 kernelspec: display_name: Python 3 language: python name: python3 --- # Determining Static Equilibrium in NumPy When analyzing physical structures, it is crucial to understand the ...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/content/save-load-arrays.md
--- jupytext: text_representation: extension: .md format_name: myst format_version: 0.13 jupytext_version: 1.11.1 kernelspec: display_name: Python 3 language: python name: python3 --- # Saving and sharing your NumPy arrays ## What you'll learn You'll save your NumPy arrays as zipped files and...
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public_repos/numpy-tutorials
public_repos/numpy-tutorials/content/x_y-squared.csv
# x, y 0.000000000000000000e+00,0.000000000000000000e+00 1.000000000000000000e+00,1.000000000000000000e+00 2.000000000000000000e+00,4.000000000000000000e+00 3.000000000000000000e+00,9.000000000000000000e+00 4.000000000000000000e+00,1.600000000000000000e+01 5.000000000000000000e+00,2.500000000000000000e+01 6.00000000000...
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