yujuwon

ES_URL="http://127.0.0.1/index-table/type/_search/?scroll=1m"
SCROLL_URL="http://127.0.0.1/_search/scroll"
headers = {'Content-Type': 'application/json; charset=utf-8'}

data = {"size": 100}
res = json.loads(requests.get(ES_URL, data=json.dumps(data), headers=headers).content)
scroll_data = {"scroll":"1m", "scroll_id" : res['_scroll_id']}

while(len(res) > 0):
  res = json.loads(requests.get(SCROLL_URL, data=json.dumps(scroll_data), headers=headers).content)

yujuwon

ES_URL ="http://127.0.0.1/index-table/type/_search"
headers = {'Content-Type': 'application/json; charset=utf-8'}

data = {"from": 0, "size": 100 }
res = requests.post(ES_URL, data=json.dumps(data), headers=headers).content
total = res['total']
index = 0
size = 100

for i in range(0, total, size):

yujuwon

import tensorflow as tf
import numpy as np

data = np.loadtxt('../data/data.csv', delimiter=',',
                  unpack=True, dtype='float32')

x_data = np.transpose(data[0:2])
y_data = np.transpose(data[2:])

#########

yujuwon

import tensorflow as tf
import matplotlib
import matplotlib.pyplot as plt
import numpy as np

from matplotlib import font_manager, rc
print(font_manager.get_fontconfig_fonts())
font_name = font_manager.FontProperties(fname="/usr/share/fonts/truetype/dejavu/gulim.ttf").get_name()
# matplot 에서 한글을 표시하기 위한 설정
matplotlib.rc('font', family=font_name)

yujuwon

import tensorflow as tf
import numpy as np

x_data = np.array([[0, 0], [1, 0], [1, 1], [0, 0], [0, 0], [0, 1]])
y_data = np.array([
    [1, 0, 0],  # 기타
    [0, 1, 0],  # 포유류
    [0, 0, 1],  # 조류
    [1, 0, 0],
    [1, 0, 0],

yujuwon

import tensorflow as tf
import numpy as np

x_data = np.array([[0, 0], [1, 0], [1, 1], [0, 0], [0, 0], [0, 1]])

y_data = np.array([
    [1, 0, 0],  # 기타
    [0, 1, 0],  # 포유류
    [0, 0, 1],  # 조류
    [1, 0, 0],

yujuwon

import org.apache.hadoop.util.bloom.BloomFilter;
import org.apache.hadoop.util.hash.Hash;

//bloomFilter 생성
BloomFilter bloomFilters[] = new BloomFilter[1];
bloomFilter[0] =BloomFilter(10000, 2, Hash.MURMUR_HASH);

String data = "apple";
// data 넣기
bloomFilter[0].add(new Key(data.getBytes()));

yujuwon

try {
  PackageInfo info = getPackageManager().getPackageInfo("com.yjw.android.busanbus", PackageManager.GET_SIGNATURES);
  for (Signature signature : info.signatures) {
    MessageDigest md = MessageDigest.getInstance("SHA");
    md.update(signature.toByteArray());
    String str = Base64.encodeToString(md.digest(), Base64.DEFAULT);
    Log.d("KeyHash:", str);
    Toast.makeText(this, str, Toast.LENGTH_LONG).show();
  }
}catch(NoSuchAlgorithmException e){

yujuwon

#!/usr/bin/env python
# coding: utf8
"""Example of training spaCy's named entity recognizer, starting off with an
existing model or a blank model.

For more details, see the documentation:
* Training: https://spacy.io/usage/training
* NER: https://spacy.io/usage/linguistic-features#named-entities

Compatible with: spaCy v2.0.0+

yujuwon

#!/usr/bin/env python
# coding: utf8
"""Load vectors for a language trained using fastText
https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md
Compatible with: spaCy v2.0.0+
"""
from __future__ import unicode_literals
import plac
import numpy