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#include <ogg/ogg.h> | |
#include <stdio.h> | |
#include <stdlib.h> | |
#include <stdint.h> | |
#include <string.h> | |
// get_opus_raw関数のプロトタイプ | |
// この関数は外部で定義され、Opusエンコードされたraw binaryを提供します。 | |
int16_t get_opus_raw(uint8_t *buffer); |
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import SwiftUI | |
@_spi(Advanced) import SwiftUIIntrospect | |
struct DelegateEnabledScrollView<Content: View>: View { | |
@State private var scrollViewDelegate: DelegateEnabledScrollViewDelegate? | |
@State private var scrollView: UIScrollView? = nil | |
let content: (UIScrollView?) -> Content | |
var onDidZoom: ((UIScrollView) -> Void)? | |
var onWillBeginDragging: ((UIScrollView) -> Void)? |
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/* | |
https://github.com/karpathy/llama2.c/blob/master/run.c | |
GPT-4による解説 | |
このプログラムは、Transformerネットワークを実装し、トークン化されたテキスト入力から次の最も適したトークンを予測します。具体的には以下のようになります: | |
先頭の部分は、TransformerWeightsとRunStateという2つのデータ構造とそれらの関連するメモリの管理を含みます。 | |
Configという構造体は、トランスフォーマーネットワークのパラメータを保持します。 | |
次に、指定されたチェックポイントファイルから重みを初期化する関数があります。この関数は、チェックポイントファイルからトランスフォーマーネットワークの重みを読み込み、適切に配置します。 |
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/** | |
* Google Spreadsheet向けBigQuery取り込みスクリプト | |
* http://toreta.blog.jp/archives/20649904.html | |
* License: MIT 2014- Toreta, Inc. | |
* | |
* runAllQueries() をトリガーで毎日実行してください | |
* Queries, Single row queries, Dataの三つのシートを作って下さい | |
* Queries, Single row queriesのシートには実行するクエリを書きます | |
* A列にクエリ名、B列にクエリです。 | |
* conuntなどの集約関数で1行しか返らないクエリは「Single row queries」、それ以外は「Queries」に書いて下さい |
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OVERVIEW: LLVM 'Clang' Compiler: http://clang.llvm.org | |
USAGE: clang -cc1 [options] <inputs> | |
OPTIONS: | |
-### Print the commands to run for this compilation | |
--analyze Run the static analyzer | |
--migrate Run the migrator | |
--relocatable-pch Build a relocatable precompiled header | |
--serialize-diagnostics <value> |
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#!/usr/bin/env bash | |
rails_version="${RAILS_VERSION:-7}" | |
ruby_version="${RUBY_VERSION:-3.0}" | |
node_version="${NODE_VERSION:-16}" | |
docker run --rm -v `pwd`:/usr/src/app ruby:$ruby_version sh -c "gem install rails --version $rails_version && rails new /usr/src/app --database mysql ${RAILS_OPTIONS} --git --force --version $rails_version" | |
cat << __EOT__ > Dockerfile | |
FROM ruby:$ruby_version |
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// https://github.com/pschatzmann/arduino-audio-tools/ settings for M5Stack Core2 | |
// Audio settings | |
const int sample_rate = 44100; | |
const int channels = 1; | |
// Speaker settings | |
I2SStream out; | |
auto config = out.defaultConfig(TX_MODE); | |
config.sample_rate = sample_rate; |
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#/bin/sh | |
# M1 Mac環境でAmazon FreeRTOS on ESP32のビルドを行う | |
# FreeRTOSのソースはAWSコンソールのzipから落とさないで、 | |
# https://github.com/aws/amazon-freertos から持ってくること | |
# 参考: | |
# https://docs.aws.amazon.com/freertos/latest/userguide/getting_started_espressif.html#setup-espressif-idf42 | |
# https://github.com/SeanMollet/esp-idf/tree/esp-2020r3-aarch64 | |
# | |
# ビルドは下記のコマンドで | |
# idf.py -DVENDOR=espressif -DBOARD=esp32_wrover_kit -DCOMPILER=xtensa-esp32 build |
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