Takuya Makino tma15

## viterbi_astar.go
package main

import (
	"container/heap"
	"fmt"
)

type PriorityQueue []*Node

func (this PriorityQueue) Len() int { return len(this) }

## lu.go
package lu

import (
	"fmt"
)

type Matrix [][]float64

func NewMatrix() Matrix {
	return Matrix{}

## dirdump.go
package main

import (
        "bufio"
        "fmt"
        "io/ioutil"
        "os"
        "sort"
        "syscall"
)

## countelem.go
package main

import (
    "fmt"
    "sort"
)

func CountDuplicateElem(x, y []string) int {
//     fmt.Println(x)
//     fmt.Println(y)

## wscript
#!/usr/bin/python
import re
import json
import numpy as np
import maf
import maflib.util

def configure(conf):
    pass

## mecab.go
package main

// #cgo LDFLAGS: -L/usr/local/Cellar/mecab/0.996/lib -lmecab -lstdc++ `mecab-config --libs`で得られる結果
// #cgo CFLAGS: -I/usr/local/Cellar/mecab/0.996/include `mecab-config --cflags`で得られる結果
// #include <mecab.h>
import "C"

// import "fmt"
import "strings"

## file0.txt
>>> from math import sqrt
>>> from sklearn.externals.joblib import Parallel, delayed
>>> Parallel(n_jobs=1)(delayed(sqrt)(i**2) for i in range(10))
[0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]

## beta.py
#!/usr/bin/python
#-*- coding:utf8 -*-
"""
DBDA FIGURE 5.1
"""
import math
import numpy as np
from pylab import *

def beta(theta, a, b):

## file1.txt
('worse',) 0.52573480121
('fine',) 0.5
('good',) 0.188721875541
('bad',) 0.188721875541
('excellent',) 0.0428913353502
('very',) 0.0

## join_dakuten.py
import unicodedata
unicodedata.normalize('NKFC', unistr)
	package main

	import (
	"container/heap"
	"fmt"
	)

	type PriorityQueue []*Node

	func (this PriorityQueue) Len() int { return len(this) }
	package lu

	import (
	"fmt"
	)

	type Matrix [][]float64

	func NewMatrix() Matrix {
	return Matrix{}
	package main

	import (
	"bufio"
	"fmt"
	"io/ioutil"
	"os"
	"sort"
	"syscall"
	)
	#!/usr/bin/python
	import re
	import json
	import numpy as np
	import maf
	import maflib.util

	def configure(conf):
	pass
	package main

	// #cgo LDFLAGS: -L/usr/local/Cellar/mecab/0.996/lib -lmecab -lstdc++ `mecab-config --libs`で得られる結果
	// #cgo CFLAGS: -I/usr/local/Cellar/mecab/0.996/include `mecab-config --cflags`で得られる結果
	// #include <mecab.h>
	import "C"

	// import "fmt"
	import "strings"
	>>> from math import sqrt
	>>> from sklearn.externals.joblib import Parallel, delayed
	>>> Parallel(n_jobs=1)(delayed(sqrt)(i**2) for i in range(10))
	[0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
	#!/usr/bin/python
	#-- coding:utf8 --
	"""
	DBDA FIGURE 5.1
	"""
	import math
	import numpy as np
	from pylab import *

	def beta(theta, a, b):
	('worse',) 0.52573480121
	('fine',) 0.5
	('good',) 0.188721875541
	('bad',) 0.188721875541
	('excellent',) 0.0428913353502
	('very',) 0.0