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c02a10d8b626469ea64babebfd88fb96ea9ececf Default grant SMS and Phone to the verifier
ea02ec65c19ac209047ed164272ec2b07f47e496 Add op package to the UID special case handling in account manager.
40bb46d77f3decad35273d509f32fd05bd2ed2ac Add get_accounts app op
704a5a0c72a95d2b12b3410fb0a26399908055d4 Don't crash on (invalid) hardware address lengths > 127.
e1d47a7bc9236343bafe9d49882d143af2b6d11b Respect DONT_KILL_APP flag when bringing down a disabled service.
9820aee6b17cd829f9a920e19265cb505bcc8ddc Don't drop runtime permissions on older system app update.
6606acd610145d0b7c7416e520bebd5fe9c3107a Apply default link-handling policy at OTA from pre-M
776c0908d57085e1d46cd6a6438f8c03bb106cba Fixed a crash in the notification group manager
982f2357acd68eb50bcf1e929a28b7aadf0d0caf Incorrect app op check in broadcast queue
7d087fe8176ebc25dff49ce940b3d1b683452667 Allow shell to disable keyguard when not secure

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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>org.lara</groupId>
    <artifactId>laraproject</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>laraproject</name>
    <description>Lara Project</description>
    <packaging>jar</packaging>
    <properties>

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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>org.lara</groupId>
    <artifactId>laraproject</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>laraproject</name>
    <description>Lara Project</description>
    <packaging>jar</packaging>
    <properties>

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log4j:WARN No appenders could be found for logger (org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Exception in thread "main" java.lang.ClassCastException: class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep cannot be cast to class org.deeplearning4j.nn.conf.layers.FeedForwardLayer (org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep and org.deeplearning4j.nn.conf.layers.FeedForwardLayer are in unnamed module of loader 'app')
	at org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLSTM.setWeights(KerasLSTM.java:449)
	at org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils.importWeights(KerasModelUtils.java:302)
	at org.deeplearning4j.nn.modelimport.keras.KerasModel.<init>(KerasModel.java:183)
	at org.deeplearning4j.nn.modelimport.keras.KerasModel.<init>(KerasModel.java:96)
	at org.deeplearning4j.nn.modelimport.

h2o64

from html.parser import HTMLParser
import urllib.request

# Get an HTML from URL
def getHTML(url):
	response = urllib.request.urlopen(url)
	return str(response.read())

# Searching sections #
found_table = False

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(* Graphic Library *)
#load "graphics.cma";;

module KDTrees :
  sig
		val getFormat : int -> int -> string
		val drawPoints : int array array -> unit
		val randomPoints : int * int -> int -> int array array
		val per_co_sort : 'a array array -> int -> int -> unit
		type 'a tree = EmptyTree | Node of 'a array * 'a tree * 'a tree

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(* Hamming Weight *)
(* Iterate everything *)
let rec hamming_weight_naive a =
	if a = 0 then 0
	else (a land 1) + (hamming_weight_naive (a lsr 1));;
(* Iterate as much time as there are 1-bits *)
let rec hamming_weight_sparse a =
	if a = 0 then 0
	else 1 + (hamming_weight_sparse (a land (a-1)));;
(* Get the size of the int *)

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def avg_bloc(matrix,a,b,bloc_size_h,bloc_size_w):
	# Generate coordonates and sum
	target = []
	sum_b = 0
	for i in range(-bloc_size_h/2,(bloc_size_h/2)):
		for j in range(-bloc_size_w/2,(bloc_size_w/2)):
			sum_b += matrix[a+i][b+j]
			target.append((a+i,b+j))
	# Remove pixels under average
	avg = (sum_b * 1.0) / (bloc_size_h * bloc_size_w)

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# Datas

# Configs
'''
CPU (AMD - AMD4) :
	* AMD Ryzen 5 1600X
	* AMD Ryzen 7 1700X
	* AMD Ryzen 7 1800X
CPU (AMD - AMD4 - 2nd Gen) :
	* AMD Ryzen 2600

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* daemon not running. starting it now on port 5037 *
* daemon started successfully *
--------- beginning of system
03-26 00:19:06.570   231   231 I vold    : Vold 3.0 (the awakening) firing up
03-26 00:19:06.570   231   231 V vold    : Detected support for: ext4 vfat
--------- beginning of crash
03-26 00:19:07.404   261   261 F libc    : Fatal signal 6 (SIGABRT), code -6 in tid 261 (surfaceflinger)
03-26 00:19:07.521   267   267 F DEBUG   : *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
03-26 00:19:07.521   267   267 F DEBUG   : Build fingerprint: 'oneplus/bacon/A0001:5.1.1/LMY48B/YOG4PAS1N0:user/release-keys'
03-26 00:19:07.521   267   267 F DEBUG   : Revision: '0'