yongjun823

import os 

CSV_FOLDER = 'csvs/'

def parse_csv(csv_path):
    arr = []
    csv_arr = open(csv_path, encoding='utf-8')
    next(csv_arr)

    for i in csv_arr:

yongjun823

/////
#include <iostream>
#include "arr.h"

template class Arrayy<int>;
template class Arrayy<double>;

template <typename T>
Arrayy<T>::Arrayy() {

yongjun823

./fabric-scripts/hlfv11/stopFabric.sh
./fabric-scripts/hlfv11/teardownFabric.sh
./fabric-scripts/hlfv11/startFabric.sh

composer card delete --card admin@ttcnetwork

composer archive create --sourceType dir --sourceName . -a ./dist/ttc-network.bna

composer network install --card PeerAdmin@hlfv1 --archiveFile ./dist/ttc-network.bna

yongjun823

sudo apt-get update
curl -o- https://raw.githubusercontent.com/creationix/nvm/v0.33.11/install.sh | bash
sudo apt-get install -y build-essential
sudo npm install -g node-gyp

sudo apt-get install -y python2.7
export PYTHON=/usr/bin/python2.7
 
sudo chown -R $USER /usr/local
npm uninstall -g composer-cli

yongjun823

import tensorflow as tf
import numpy as np
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()
# add empty color dimension
x_train = np.expand_dims(x_train, -1)
x_test = np.expand_dims(x_test, -1)

model = tf.keras.models.Sequential()
model.add(tf.keras.layers.BatchNormalization(input_shape=x_train.shape[1:]))
model.add(tf.keras.layers.Conv2D(64, (5, 5), padding='same', activation='elu'))

yongjun823

---
################################################################################
#
#   Section: Organizations
#
#   - This section defines the different organizational identities which will
#   be referenced later in the configuration.
#
################################################################################
Organizations:

yongjun823

# -*- coding: utf-8 -*-
"""
Created on Thu Jul 20 11:24:50 2017

@author: chs
"""

from joblib import Parallel, delayed
import glob
import os

yongjun823

sudo curl -L "https://github.com/docker/compose/releases/download/1.22.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
docker-compose --version

yongjun823

import tensorflow as tf
import numpy as np 

class A:
    def __init__(self):
        self.X = tf.placeholder(tf.float32, [None, 10])
        self.l1 = tf.layers.dense(self.X, 10)

        self.sess = tf.Session()
        self.sess.run(tf.global_variables_initializer())

yongjun823

from PIL import Image
from pprint import pprint
import xmltodict

with open('pizza.xml') as fd:
    doc = xmltodict.parse(fd.read())

file_path = doc['annotation']['path']
main_img = Image.open(file_path)