注意:このドキュメンテーションは生成AIによる自動生成です。 MacBookPro 13-inch, M1, 2020でのみ動作を確認しています。
ollama_apiは、Julia用のOllama APIラッパーモジュールです。このモジュールは、Ollama APIとの通信を簡素化し、テキスト生成や会話型AIの機能を提供します。
| #include <iomanip> // for std::setprecision | |
| #include <ios> // for std::ios::fixed, std::ios::floatfield | |
| #include <iostream> // for std::cout, std::endl | |
| #include <utility> // for std::make_pair, std::pair | |
| #define __AVX2_AVAILABLE__ | |
| #include "SIMDInstructionSet.h" | |
| #include "Xoshiro256Plus.h" | |
| namespace { | |
| inline double mcpi(); |
| #include <iomanip> // for std::setprecision | |
| #include <ios> // for std::ios::fixed, std::ios::floatfield | |
| #include <iostream> // for std::cout, std::endl | |
| #include <random> // for std::mt19937, std::uniform_real_distribution | |
| namespace { | |
| inline double mcpi(); | |
| } | |
| int main() |
| """Stream output of `asyncio.create_subprocess_exec()`""" | |
| import asyncio | |
| import sys | |
| async def run(program: str, args: list[str]): | |
| """Capture output (stdout and stderr) while running external command.""" | |
| proc = await asyncio.create_subprocess_exec( | |
| program, *args, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE | |
| ) |
| using Random | |
| using ProgressMeter | |
| function myproducer(ch::Channel, seed) | |
| Random.seed!(seed) | |
| while true | |
| r = rand() | |
| if r > 0.5 | |
| put!(ch, r) | |
| else |
| S = "\t☆ | |
| /\ | |
| /★∴ \ | |
| (人_人_人) | |
| /∴∵★∵★∵ \ | |
| (_人_人_人_) | |
| /☆∴∵∴∵★ ∴ \ | |
| (_人★人☆人_ ) | |
|  ̄凵 ̄ " |
| %% Julia definition (c) 2020 Daichi Furukawa | |
| %% | |
| \lstdefinelanguage{Julia}{% | |
| morekeywords={abstract, ans, baremodule, begin, break, const, continue, do,% | |
| elseif, else, end, export, finally, for, function, global, if, import,% | |
| let, local, macro, module, mutable, primitive, quote, return, struct, try,% | |
| type, using, var, where, while},% | |
| % Types | |
| morekeywords=[2]{Any, Array, Bool, BigInt, BigFloat, Char, DataType, Enum,% | |
| Expr, Float16, Float32, Float64, Function, Inf, Inf16, Inf32, Int8, Int16,% |
| using Dash, DashHtmlComponents, DashCoreComponents, HTTP, CSV, Dates, Printf | |
| r = HTTP.request("GET", "https://finance.yahoo.com/quote/AMZN/history?p=AMZN"); | |
| crumb = match(r"(?:CrumbStore\"\:\{\"crumb\":\")(.*?)(?:\")", String(r.body)).captures; | |
| session_cookie = match(r"(?:B=)(.*?)(?:;)", HTTP.header(r, "Set-Cookie")).captures; | |
| app = dash(); | |
| app.layout = html_div(style=Dict("width"=>"500")) do | |
| dcc_dropdown( |
| using AbstractPlotting | |
| using AbstractPlotting.MakieLayout | |
| using GLMakie; GLMakie.activate!() | |
| GLMakie.GLFW.WindowHint(GLMakie.GLFW.FLOATING, 1) | |
| using LinearAlgebra | |
| ## | |
| scene = Scene(center = false, raw = true, resolution = (800, 800)) |
paperist/alpine-texlive-ja をpull$ docker pull paperist/alpine-texlive-jasetting.jsonに以下を追記 "latex-workshop.latex.tools": [
{
"name": "ptex2pdf",
"command": "docker",