Yohsuke Murase yohm
yohm
/ strongly_connected_components.rb
Created
May 10, 2017 09:24
Finding strongly connected components for a directed graph using Tarjan's algorithm
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| require 'pp' | |
| class DirectedGraph | |
| attr_reader :n, :links | |
| def initialize(size) | |
| @n = size | |
| @links = Hash.new {|hsh,key| hsh[key] = Array.new } | |
| end |
yohm
/ pipe_sample.cpp
Last active
August 27, 2017 12:44
communication between cpp process and python process using pipe
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| #include <iostream> | |
| #include <cstdio> | |
| #include <cstdlib> | |
| #include <cstring> | |
| #include <unistd.h> | |
| #define READ (0) | |
| #define WRITE (1) | |
| /** |
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| #include <iostream> | |
| #include <vector> | |
| #include <cstdio> | |
| #include <cstdlib> | |
| #include <cstring> | |
| #include <unistd.h> | |
| #include <x10/lang/Rail.h> | |
| #include <x10/lang/String.h> | |
| int popen2(char*const* argv, int *fd_r, int *fd_w) { |
yohm
/ caravan_regression.py
Created
December 20, 2017 06:59
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| import sys | |
| import os.path | |
| import caravan_dump | |
| import numpy as np | |
| from sklearn.linear_model import Ridge | |
| from sklearn.preprocessing import StandardScaler | |
| from sklearn.preprocessing import PolynomialFeatures | |
| from sklearn.model_selection import train_test_split |
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| import fibers | |
| import time | |
| root_fiber = None | |
| sub_fibers = [] | |
| t = 0.1 | |
| def async(func, *args, **kwargs): | |
| global root_fiber, sub_fibers | |
| def _f(): |
yohm
/ keras_regression_sample.py
Created
July 12, 2018 05:35
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| from keras.datasets import boston_housing | |
| from keras.models import Sequential | |
| from keras.layers import Dense | |
| from keras.optimizers import Adam | |
| (x_train, y_train), (x_test, y_test) = boston_housing.load_data(test_split=0.0) | |
| def scale_input(data): | |
| from sklearn.preprocessing import StandardScaler | |
| scaler = StandardScaler() |
yohm
/ file0.html
Created
July 24, 2018 02:46
chart.jsでぐりぐり動くグラフを作る ref: https://qiita.com/yohm/items/586690bf36efa0838e37
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| <div class="slidecontainer" id="sliders"> | |
| <input type="range" min="-1" max="1" value="0" step="0.1" class="slider" id="slider_a">a : <span id="val_a">0</span><br/> | |
| <input type="range" min="-1" max="1" value="0" step="0.1" class="slider" id="slider_b">b : <span id="val_b">0</span><br /> | |
| <input type="range" min="-1" max="1" value="0" step="0.1" class="slider" id="slider_c">c : <span id="val_c">0</span><br /> | |
| </div> |
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| <html> | |
| <head> | |
| </head> | |
| <body> | |
| <div class="slidecontainer" id="sliders"> | |
| X軸 : | |
| <select name="myRange" id="myRange"> | |
| <option value="0"> X0</option> | |
| <option value="1"> X1</option> |
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| <!DOCTYPE html> | |
| <style> | |
| div.tooltip { | |
| position: absolute; | |
| text-align: center; | |
| width: 80px; | |
| height: 18px; | |
| padding: 2px; | |
| font: 14px sans-serif; |
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| (async () => { | |
| const db = inkdrop.main.dataStore.getLocalDB() | |
| inkdrop.commands.add(document.body, "custom:new-note", async () => { | |
| const { queryContext } = inkdrop.store.getState() | |
| if( queryContext.mode === "book" ) { | |
| const template_tag = (await db.tags.all()).find(t => t.name === "template") | |
| const template_notes = await db.notes.findWithTag(template_tag._id) | |
| const template = template_notes.docs.find(d => queryContext.bookId === d.bookId) |