| { | |
| "access": { | |
| "token": { | |
| "expires": "2012-04-23T23:54:00", | |
| "id": "<id>", | |
| "tenant": { | |
| "id": "<tenantId>", | |
| "name": "<username>" | |
| } | |
| }, |
| { | |
| "images":[ | |
| { | |
| "status":"ACTIVE", | |
| "updated":"2012-02-02T19:11:00Z", | |
| "name":"oneiric-server-cloudimg-amd64", | |
| "links":[ | |
| { | |
| "href":"https://nova-api.trystack.org:9774/v1.1/<tenantId>/images/15", | |
| "rel":"self" |
| from flask import Flask | |
| from flask import request | |
| import simplejson as json | |
| from decimal import Decimal | |
| import numpy as np | |
| import os | |
| import sys |
| sudo fio --filename=./testfile --direct=1 --sync=1 --rw=read --bs=4k --numjobs=8 --iodepth=32 --runtime=60 --time_based --group_reporting --size=1G --name=journal-test | |
| journal-test: (groupid=0, jobs=8): err= 0: pid=3092: Thu Jun 2 22:48:23 2016 | |
| read : io=21433MB, bw=365792KB/s, iops=91447, runt= 60001msec | |
| clat (usec): min=11, max=15999, avg=86.72, stdev=34.31 | |
| lat (usec): min=11, max=15999, avg=86.81, stdev=34.31 | |
| clat percentiles (usec): | |
| | 1.00th=[ 60], 5.00th=[ 63], 10.00th=[ 66], 20.00th=[ 75], | |
| | 30.00th=[ 78], 40.00th=[ 80], 50.00th=[ 82], 60.00th=[ 90], |
| from tensorflow.contrib.tensorboard.plugins import projector | |
| import tensorflow as tf | |
| import numpy as np | |
| import os | |
| meta_file = "g2x_metadata.tsv" | |
| output_path = "./projections" | |
| # read embedding file into list and get the size | |
| with open('./ft_model.vec', 'r') as embedding_file: |
| inp = Input(shape=(maxlen,), name="text_input") # featureized text comes in here | |
| x = Embedding(embedding_matrix.shape[0], embed_size, weights=[embedding_matrix], trainable=True)(inp) | |
| x = Dense(some_num_here, activation="relu")(x) | |
| extra_data = Input(shape=(1,), name="extra_data") # your continous features comes in here | |
| combined = concatenate([x, extra_data]) | |
| # maybe some ReLu + Dropout here |
| def build_GRAPHS_MD(fig): | |
| # encode as base64 for markdown display | |
| buf = io.BytesIO() | |
| fig.savefig(buf, format='png') | |
| buf.seek(0) | |
| b64str = base64.b64encode(buf.read()).decode('ascii') | |
| plt.close() | |
| markdown_txt = f""" |
| ! | |
| """" | |
| # | |
| $ | |
| % | |
| & | |
| ' | |
| ( | |
| ) | |
| * |