Yuta Hinokuma higumachan

## shomei.svg

      
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                higumachan
                / shomei.svg
            
            
              Created
              May 4, 2023 17:08
            
              
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## hellloworld.rs
fn main() {
    println!("Hello, world!");
}

## command.sh
sk --ansi -i -c 'ag --color "{}"' --preview "python preview.py {}"

## gist:e8aa0e11655c3a4bdd1cc3e04b43b7bc
test

## tvm_benchmark.py
from pathlib import Path

import tvm
from chainer import Variable
from chainer.links import ResNet50Layers
from tvm import relay
from tvm.contrib import graph_runtime
import numpy as np
import torch
import torchvision

## vimrc

syntax on

set autoindent
"バックアップファイルを作るディレクトリ
set backupdir=$HOME/.vimbackup
"ファイル保存ダイアログの初期ディレクトリをバッファファイル位置に設定
set browsedir=buffer
"クリップボードをWindowsと連携
"set clipboard=unnamed

## rails_admin_import.ja-MX.yml
ja:
  admin:
    actions:
      import:
        title: "%{model_label} をインポート"
        menu: "インポート"
        breadcrumb: "インポート"
        link: "インポート"
        bulk_link: "インポート"
        done: "一括作成"

## gist:107533b59378db8f0323ecab6e787187
ja:
  admin:
    actions:
      import:
        title: "%{model_label} をインポート"
        menu: "インポート"
        breadcrumb: "インポート"
        link: "インポート"
        bulk_link: "インポート"
        done: "一括作成"

## vs0.py
from itertools import imap
import timeit


if __name__ == '__main__':
    cached_time = timeit.timeit("map(_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1, xrange(1000))", setup="from pyscalambda import _", number=100)
    nocached_time = timeit.timeit("map((_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1).nocache(), xrange(1000))", setup="from pyscalambda import _", number=100)


    print(cached_time, nocached_time)

## vs2.py
from pyscalambda import _ as _1
from fn import _ as _2
from itertools import imap
import timeit


if __name__ == '__main__':
    fnpy_time = timeit.timeit("map(_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1, xrange(1000))", setup="from fn import _", number=100)
    pyscalambda_time = timeit.timeit("map(_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1, xrange(1000))", setup="from pyscalambda import _", number=100)
	from pathlib import Path

	import tvm
	from chainer import Variable
	from chainer.links import ResNet50Layers
	from tvm import relay
	from tvm.contrib import graph_runtime
	import numpy as np
	import torch
	import torchvision

	syntax on

	set autoindent
	"バックアップファイルを作るディレクトリ
	set backupdir=$HOME/.vimbackup
	"ファイル保存ダイアログの初期ディレクトリをバッファファイル位置に設定
	set browsedir=buffer
	"クリップボードをWindowsと連携
	"set clipboard=unnamed
	ja:
	admin:
	actions:
	import:
	title: "%{model_label} をインポート"
	menu: "インポート"
	breadcrumb: "インポート"
	link: "インポート"
	bulk_link: "インポート"
	done: "一括作成"
	from itertools import imap
	import timeit


	if __name__ == '__main__':
	cached_time = timeit.timeit("map(_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1, xrange(1000))", setup="from pyscalambda import _", number=100)
	nocached_time = timeit.timeit("map((_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1).nocache(), xrange(1000))", setup="from pyscalambda import _", number=100)


	print(cached_time, nocached_time)
	from pyscalambda import _ as _1
	from fn import _ as _2
	from itertools import imap
	import timeit


	if __name__ == '__main__':
	fnpy_time = timeit.timeit("map(_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1, xrange(1000))", setup="from fn import _", number=100)
	pyscalambda_time = timeit.timeit("map(_ + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1+ 1 + 1 + 1 + 1 + 1, xrange(1000))", setup="from pyscalambda import _", number=100)