Ponto masaponto

## dtalk.py
#!/usr/bin/env python

import requests
import ffmpeg
import subprocess


class DTALK:
    """
    This scripts depends on 'aplay' command

## 2-42.scm
(define (queens board-size)
  (define (queen-cols k)
    (if (= k 0)
        (list empty-board)
        (filter
         (lambda (positions) (safe? k positions))
         (flatmap
          (lambda (rest-of-queens)
            (map (lambda (new-row)
                   (adjoin-position

## Dockerfile
FROM debian:jessie

MAINTAINER masaponto <masaponto@gmail.com>

RUN apt-get update -y && \
    apt-get install -y \
    texlive \
    texlive-fonts-extra \
    texlive-bibtex-extra \
    texlive-lang-japanese \

## README.md

      
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                masaponto
                / README.md
            
            
              Last active
              November 8, 2017 01:47
            
              
                某室のシフトをGoogleカレンダーに登録します。
              
          
    Setting


Register Google calendar API, then download the client_secret.json to your working directory.
see https://developers.google.com/google-apps/calendar/quickstart/python

$ pip3 install --upgrade google-api-python-client
$ pip3 install --upgrade git+https://github.com/masaponto/ofls-shift
$ echo 'export OFLS_KEY=<your-key-for-spread-sheet-goes-here>' >> ~/.bash_profile
$ echo 'export OFLS_GID=' &gt;&gt; ~/.bash_profile


## app.py
from bottledaemon import daemon_run
from bottle import route, run, get
from talk_weather import talk_weather, talk_datetime


@get('/test')
def test():
    return 'Hello Raspbery Pi!'


## clustering_based_elm.py
#!/usr/bin/env python

from elm import ELM
from sklearn.cluster import KMeans
import numpy as np


class ClusteringBasedELM(ELM):
    """
    This script is clustering based extreme learning machine(CBELM),

## bagging.py
#!/usr/bin/env python

import copy
import numpy as np
from sklearn.base import BaseEstimator, ClassifierMixin


class Bagging(BaseEstimator, ClassifierMixin):

    def __init__(self, estimator, n_ensemble, max_samples=1.0):

## CMakeLists.txt
cmake_minimum_required (VERSION 3.7)

project (matrix_calc_ndk)
add_executable(matrix_calc_ndk matrix_calc_ndk.cpp)

## github-pandoc.css
/*! normalize.css v2.1.3 | MIT License | git.io/normalize */

/* ==========================================================================
   HTML5 display definitions
   ========================================================================== */

/**
 * Correct `block` display not defined in IE 8/9.
 */

## numpy.hpp
/*
 * Copyright (c) 2012 Masaki Saito
 *
 * 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, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
	#!/usr/bin/env python

	import requests
	import ffmpeg
	import subprocess


	class DTALK:
	"""
	This scripts depends on 'aplay' command
	(define (queens board-size)
	(define (queen-cols k)
	(if (= k 0)
	(list empty-board)
	(filter
	(lambda (positions) (safe? k positions))
	(flatmap
	(lambda (rest-of-queens)
	(map (lambda (new-row)
	(adjoin-position
	FROM debian:jessie

	MAINTAINER masaponto <masaponto@gmail.com>

	RUN apt-get update -y && \
	apt-get install -y \
	texlive \
	texlive-fonts-extra \
	texlive-bibtex-extra \
	texlive-lang-japanese \
	from bottledaemon import daemon_run
	from bottle import route, run, get
	from talk_weather import talk_weather, talk_datetime


	@get('/test')
	def test():
	return 'Hello Raspbery Pi!'
	#!/usr/bin/env python

	from elm import ELM
	from sklearn.cluster import KMeans
	import numpy as np


	class ClusteringBasedELM(ELM):
	"""
	This script is clustering based extreme learning machine(CBELM),
	#!/usr/bin/env python

	import copy
	import numpy as np
	from sklearn.base import BaseEstimator, ClassifierMixin


	class Bagging(BaseEstimator, ClassifierMixin):

	def __init__(self, estimator, n_ensemble, max_samples=1.0):
	cmake_minimum_required (VERSION 3.7)

	project (matrix_calc_ndk)
	add_executable(matrix_calc_ndk matrix_calc_ndk.cpp)
	/! normalize.css v2.1.3 \| MIT License \| git.io/normalize /

	/* ==========================================================================
	HTML5 display definitions
	========================================================================== */

	/**
	* Correct `block` display not defined in IE 8/9.
	*/
	/*
	* Copyright (c) 2012 Masaki Saito
	*
	* 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, distribute, sublicense, and/or sell
	* copies of the Software, and to permit persons to whom the Software is
	* furnished to do so, subject to the following conditions:
	*