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// The following code allows an app to report Crashlytics crashes separately | |
// for release and debug buildTypes when using Gradle. This code should be inserted | |
// into the specified locations within your build.gradle (Module:app) file | |
// The buildTypes { } block should be inserted inside the android { } block | |
buildTypes { | |
release { | |
minifyEnabled false | |
proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro' | |
ext.crashlyticsApiSecret = "release api secret" |
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#!/bin/sh | |
### | |
# | |
# Change Tor exit node | |
# | |
# Sometimes when using Tor you'd like to change the IP address that | |
# servers see when you connect (that is, change your Tor exit node). | |
# This happens automatically from time to time, but this shell script | |
# lets you force it. | |
# |
This is a tutorial for building and installing the latest release version (0.7.3 as of writing) of "ZFS on Linux" on a Raspberry Pi 3 running Raspbian Stretch. Specifically, we'll be building the dkms
version of ZoL, which saves you the hassle of re-compiling the kernel modules after every kernel update. Even though ZoL added support for building dkms packages for debian in version 0.7.3, the build process on a Raspberry Pi 3 is not quite straight-forward. Hopefully, these instructions will make it easier.
- Install the build dependencies.
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential autoconf libtool
sudo apt-get install gawk alien fakeroot gdebi
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#!/bin/bash | |
# intel-backlight-control.sh [brightness-in/-decrease value] | |
# intel-backlight-control.sh +400 | |
# intel-backlight-control.sh -400 | |
folder="/sys/class/backlight/intel_backlight" | |
# the values can be read "/sys/class/backlight/intel_backlight/max_brightness" | |
max=24242 | |
min=1000 |
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import tensorflow as tf | |
from tensorflow.tools.graph_transforms import TransformGraph | |
def transform_graph(input_graph, output_graph): | |
""" Use to run different transform function on the input graph and generate a output graph. """ | |
with tf.gfile.GFile(input_graph, 'rb') as fid: | |
od_graph_def = tf.GraphDef() | |
serialized_graph = fid.read() | |
od_graph_def.ParseFromString(serialized_graph) | |
od_graph_def = TransformGraph(od_graph_def, ['input_placeholder/input_image'], ['predicated_output'], |
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# This file is useful for reading the contents of the ops generated by ruby. | |
# You can read any graph defination in pb/pbtxt format generated by ruby | |
# or by python and then convert it back and forth from human readable to binary format. | |
import tensorflow as tf | |
from google.protobuf import text_format | |
from tensorflow.python.platform import gfile | |
def pbtxt_to_graphdef(filename): | |
with open(filename, 'r') as f: |
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#!/bin/bash | |
set -o errexit | |
clear | |
printf "\n*** This script will download a cloud image and create a Proxmox VM template from it. ***\n\n" | |
### HOW TO USE | |
### Pre-req: | |
### - run on a Proxmox 6 server | |
### - a dhcp server should be active on vmbr1 |