diff --git a/.gitmodules b/.gitmodules index c1975e6e..c776f0b2 100644 --- a/.gitmodules +++ b/.gitmodules @@ -85,6 +85,9 @@ [submodule "vendor/grammars/language-shellscript"] path = vendor/grammars/language-shellscript url = https://github.com/atom/language-shellscript +[submodule "vendor/grammars/language-supercollider"] + path = vendor/grammars/language-supercollider + url = https://github.com/supercollider/language-supercollider [submodule "vendor/grammars/language-yaml"] path = vendor/grammars/language-yaml url = https://github.com/atom/language-yaml @@ -655,7 +658,7 @@ url = https://github.com/rpavlick/language-ncl.git [submodule "vendor/grammars/atom-language-purescript"] path = vendor/grammars/atom-language-purescript - url = https://github.com/freebroccolo/atom-language-purescript + url = https://github.com/purescript-contrib/atom-language-purescript [submodule "vendor/grammars/vue-syntax-highlight"] path = vendor/grammars/vue-syntax-highlight url = https://github.com/vuejs/vue-syntax-highlight @@ -671,12 +674,18 @@ [submodule "vendor/grammars/sublime-typescript"] path = vendor/grammars/sublime-typescript url = https://github.com/Microsoft/TypeScript-Sublime-Plugin +[submodule "vendor/grammars/sublime-pony"] + path = vendor/grammars/sublime-pony + url = https://github.com/CausalityLtd/sublime-pony [submodule "vendor/grammars/X10"] path = vendor/grammars/X10 url = git@github.com:x10-lang/x10-highlighting.git [submodule "vendor/grammars/language-babel"] path = vendor/grammars/language-babel url = https://github.com/gandm/language-babel +[submodule "vendor/grammars/UrWeb-Language-Definition"] + path = vendor/grammars/UrWeb-Language-Definition + url = https://github.com/gwalborn/UrWeb-Language-Definition.git [submodule "vendor/grammars/Stata.tmbundle"] path = vendor/grammars/Stata.tmbundle url = https://github.com/pschumm/Stata.tmbundle @@ -686,3 +695,15 @@ [submodule "vendor/grammars/MagicPython"] path = vendor/grammars/MagicPython url = git@github.com:MagicStack/MagicPython.git +[submodule "vendor/grammars/language-click"] + path = vendor/grammars/language-click + url = https://github.com/stenverbois/language-click.git +[submodule "vendor/grammars/language-maxscript"] + path = vendor/grammars/language-maxscript + url = https://github.com/Alhadis/language-maxscript +[submodule "vendor/grammars/language-renpy"] + path = vendor/grammars/language-renpy + url = https://github.com/williamd1k0/language-renpy.git +[submodule "vendor/grammars/atom-language-stan"] + path = vendor/grammars/atom-language-stan + url = git@github.com:jrnold/atom-language-stan.git diff --git a/.travis.yml b/.travis.yml index 41c187ca..80d68e84 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,3 +1,10 @@ +language: ruby +sudo: false +addons: + apt: + packages: + - libicu-dev + - libicu48 before_install: script/travis/before_install rvm: - 2.0.0 diff --git a/LICENSE b/LICENSE index c0a52444..ca0844d1 100644 --- a/LICENSE +++ b/LICENSE @@ -1,4 +1,4 @@ -Copyright (c) 2011-2015 GitHub, Inc. +Copyright (c) 2011-2016 GitHub, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation diff --git a/README.md b/README.md index 33b976d2..36bcbd50 100644 --- a/README.md +++ b/README.md @@ -33,9 +33,9 @@ $ cat .gitattributes *.rb linguist-language=Java ``` -Checking code you didn't write, such as JavaScript libraries, into your git repo is a common practice, but this often inflates your project's language stats and may even cause your project to be labeled as another language. By default, Linguist treats all of the paths defined in [lib/linguist/vendor.yml](https://github.com/github/linguist/blob/master/lib/linguist/vendor.yml) as vendored and therefore doesn't include them in the language statistics for a repository. Vendored files are also hidden by default in diffs on github.com. +Checking code you didn't write, such as JavaScript libraries, into your git repo is a common practice, but this often inflates your project's language stats and may even cause your project to be labeled as another language. By default, Linguist treats all of the paths defined in [lib/linguist/vendor.yml](https://github.com/github/linguist/blob/master/lib/linguist/vendor.yml) as vendored and therefore doesn't include them in the language statistics for a repository. -Use the `linguist-vendored` attribute to vendor or un-vendor paths. Please note, overriding the vendored (or un-vendored) status of a file only affects the language statistics for the repository and not the behavior in diffs on github.com. +Use the `linguist-vendored` attribute to vendor or un-vendor paths. ``` $ cat .gitattributes diff --git a/bin/git-linguist b/bin/git-linguist index 9541cf82..37d46b64 100755 --- a/bin/git-linguist +++ b/bin/git-linguist @@ -50,6 +50,7 @@ class GitLinguist def clear_language_stats File.unlink(cache_file) + rescue Errno::ENOENT end def disable_language_stats diff --git a/github-linguist.gemspec b/github-linguist.gemspec index bdba3e6b..cdfc6bef 100644 --- a/github-linguist.gemspec +++ b/github-linguist.gemspec @@ -24,6 +24,6 @@ Gem::Specification.new do |s| s.add_development_dependency 'rake' s.add_development_dependency 'yajl-ruby' s.add_development_dependency 'color-proximity', '~> 0.2.1' - s.add_development_dependency 'licensee', '~> 4.7.4' + s.add_development_dependency 'licensee', '6.0.0b1' end diff --git a/grammars.yml b/grammars.yml index 19f55efa..004f9cb0 100644 --- a/grammars.yml +++ b/grammars.yml @@ -142,6 +142,8 @@ vendor/grammars/TXL/: - source.txl vendor/grammars/Textmate-Gosu-Bundle: - source.gosu.2 +vendor/grammars/UrWeb-Language-Definition: +- source.ur vendor/grammars/VBDotNetSyntax: - source.vbnet vendor/grammars/Vala-TMBundle: @@ -181,9 +183,12 @@ vendor/grammars/assembly.tmbundle: vendor/grammars/atom-fsharp/: - source.fsharp - source.fsharp.fsi +- source.fsharp.fsl - source.fsharp.fsx vendor/grammars/atom-language-purescript/: - source.purescript +vendor/grammars/atom-language-stan/: +- source.stan vendor/grammars/atom-salt: - source.python.salt - source.yaml.salt @@ -301,8 +306,8 @@ vendor/grammars/io.tmbundle: vendor/grammars/ioke-outdated: - source.ioke vendor/grammars/jade-tmbundle: -- source.jade - source.pyjade +- text.jade vendor/grammars/jasmin-sublime: - source.jasmin vendor/grammars/java.tmbundle: @@ -321,6 +326,8 @@ vendor/grammars/kotlin-sublime-package: vendor/grammars/language-babel/: - source.js.jsx - source.regexp.babel +vendor/grammars/language-click/: +- source.click vendor/grammars/language-clojure: - source.clojure vendor/grammars/language-coffee-script: @@ -344,6 +351,8 @@ vendor/grammars/language-javascript: vendor/grammars/language-jsoniq/: - source.jq - source.xq +vendor/grammars/language-maxscript: +- source.maxscript vendor/grammars/language-ncl: - source.ncl vendor/grammars/MagicPython: @@ -352,9 +361,13 @@ vendor/grammars/language-python: - source.regexp.python - text.python.console - text.python.traceback +vendor/grammars/language-renpy: +- source.renpy vendor/grammars/language-shellscript: - source.shell - text.shell-session +vendor/grammars/language-supercollider: +- source.supercollider vendor/grammars/language-xbase: - source.harbour vendor/grammars/language-yaml: @@ -515,6 +528,8 @@ vendor/grammars/sublime-nix: vendor/grammars/sublime-opal/: - source.opal - source.opalsysdefs +vendor/grammars/sublime-pony: +- source.pony vendor/grammars/sublime-robot-plugin: - text.robot vendor/grammars/sublime-rust: diff --git a/lib/linguist.rb b/lib/linguist.rb index 3929efb9..589869c6 100644 --- a/lib/linguist.rb +++ b/lib/linguist.rb @@ -13,8 +13,8 @@ class << Linguist def instrument(*args, &bk) if instrumenter instrumenter.instrument(*args, &bk) - else - yield if block_given? + elsif block_given? + yield end end end diff --git a/lib/linguist/blob.rb b/lib/linguist/blob.rb index 1be9f0b2..a11e6074 100644 --- a/lib/linguist/blob.rb +++ b/lib/linguist/blob.rb @@ -12,7 +12,7 @@ module Linguist # path - A path String (does not necessarily exists on the file system). # content - Content of the file. # - # Returns a FileBlob. + # Returns a Blob. def initialize(path, content) @path = path @content = content @@ -58,7 +58,7 @@ module Linguist # Public: Return an array of the file extensions # - # >> Linguist::FileBlob.new("app/views/things/index.html.erb").extensions + # >> Linguist::Blob.new("app/views/things/index.html.erb").extensions # => [".html.erb", ".erb"] # # Returns an Array diff --git a/lib/linguist/heuristics.rb b/lib/linguist/heuristics.rb index 11f58b28..7c1c7db1 100644 --- a/lib/linguist/heuristics.rb +++ b/lib/linguist/heuristics.rb @@ -131,7 +131,7 @@ module Linguist disambiguate ".for", ".f" do |data| if /^: /.match(data) Language["Forth"] - elsif /^([c*][^a-z]| (subroutine|program)\s|\s*!)/i.match(data) + elsif /^([c*][^abd-z]| (subroutine|program|end)\s|\s*!)/i.match(data) Language["FORTRAN"] end end @@ -238,8 +238,10 @@ module Linguist disambiguate ".ms" do |data| if /^[.'][a-z][a-z](\s|$)/i.match(data) Language["Groff"] - elsif /((^|\s)move?[. ])|\.(include|globa?l)\s/.match(data) + elsif /(?("target", "Default"); +var configuration = Argument("configuration", "Release"); + +/////////////////////////////////////////////////////////////////////////////// +// GLOBAL VARIABLES +/////////////////////////////////////////////////////////////////////////////// + +var solutions = GetFiles("./**/*.sln"); +var solutionPaths = solutions.Select(solution => solution.GetDirectory()); + +/////////////////////////////////////////////////////////////////////////////// +// SETUP / TEARDOWN +/////////////////////////////////////////////////////////////////////////////// + +Setup(() => +{ + // Executed BEFORE the first task. + Information("Running tasks..."); +}); + +Teardown(() => +{ + // Executed AFTER the last task. + Information("Finished running tasks."); +}); + +/////////////////////////////////////////////////////////////////////////////// +// TASK DEFINITIONS +/////////////////////////////////////////////////////////////////////////////// + +Task("Clean") + .Does(() => +{ + // Clean solution directories. + foreach(var path in solutionPaths) + { + Information("Cleaning {0}", path); + CleanDirectories(path + "/**/bin/" + configuration); + CleanDirectories(path + "/**/obj/" + configuration); + } +}); + +Task("Restore") + .Does(() => +{ + // Restore all NuGet packages. + foreach(var solution in solutions) + { + Information("Restoring {0}...", solution); + NuGetRestore(solution); + } +}); + +Task("Build") + .IsDependentOn("Clean") + .IsDependentOn("Restore") + .Does(() => +{ + // Build all solutions. + foreach(var solution in solutions) + { + Information("Building {0}", solution); + MSBuild(solution, settings => + settings.SetPlatformTarget(PlatformTarget.MSIL) + .WithProperty("TreatWarningsAsErrors","true") + .WithTarget("Build") + .SetConfiguration(configuration)); + } +}); + +/////////////////////////////////////////////////////////////////////////////// +// TARGETS +/////////////////////////////////////////////////////////////////////////////// + +Task("Default") + .IsDependentOn("Build"); + +/////////////////////////////////////////////////////////////////////////////// +// EXECUTION +/////////////////////////////////////////////////////////////////////////////// + +RunTarget(target); \ No newline at end of file diff --git a/samples/Click/sr2.click b/samples/Click/sr2.click new file mode 100644 index 00000000..52b55026 --- /dev/null +++ b/samples/Click/sr2.click @@ -0,0 +1,133 @@ +rates :: AvailableRates +elementclass sr2 { + $sr2_ip, $sr2_nm, $wireless_mac, $gateway, $probes| + + +arp :: ARPTable(); +lt :: LinkTable(IP $sr2_ip); + + +gw :: SR2GatewaySelector(ETHTYPE 0x062c, + IP $sr2_ip, + ETH $wireless_mac, + LT lt, + ARP arp, + PERIOD 15, + GW $gateway); + + +gw -> SR2SetChecksum -> [0] output; + +set_gw :: SR2SetGateway(SEL gw); + + +es :: SR2ETTStat(ETHTYPE 0x0641, + ETH $wireless_mac, + IP $sr2_ip, + PERIOD 30000, + TAU 300000, + ARP arp, + PROBES $probes, + ETT metric, + RT rates); + + +metric :: SR2ETTMetric(LT lt); + + +forwarder :: SR2Forwarder(ETHTYPE 0x0643, + IP $sr2_ip, + ETH $wireless_mac, + ARP arp, + LT lt); + + +querier :: SR2Querier(ETH $wireless_mac, + SR forwarder, + LT lt, + ROUTE_DAMPENING true, + TIME_BEFORE_SWITCH 5, + DEBUG true); + + +query_forwarder :: SR2MetricFlood(ETHTYPE 0x0644, + IP $sr2_ip, + ETH $wireless_mac, + LT lt, + ARP arp, + DEBUG false); + +query_responder :: SR2QueryResponder(ETHTYPE 0x0645, + IP $sr2_ip, + ETH $wireless_mac, + LT lt, + ARP arp, + DEBUG true); + + +query_responder -> SR2SetChecksum -> [0] output; +query_forwarder -> SR2SetChecksum -> SR2Print(forwarding) -> [0] output; +query_forwarder [1] -> query_responder; + +data_ck :: SR2SetChecksum() + +input [1] +-> host_cl :: IPClassifier(dst net $sr2_ip mask $sr2_nm, + -) +-> querier +-> data_ck; + + +host_cl [1] -> [0] set_gw [0] -> querier; + +forwarder[0] + -> dt ::DecIPTTL + -> data_ck + -> [2] output; + + +dt[1] +-> Print(ttl-error) +-> ICMPError($sr2_ip, timeexceeded, 0) +-> querier; + + +// queries +querier [1] -> [1] query_forwarder; +es -> SetTimestamp() -> [1] output; + + +forwarder[1] //ip packets to me + -> SR2StripHeader() + -> CheckIPHeader() + -> from_gw_cl :: IPClassifier(src net $sr2_ip mask $sr2_nm, + -) + -> [3] output; + +from_gw_cl [1] -> [1] set_gw [1] -> [3] output; + + input [0] + -> ncl :: Classifier( + 12/0643 , //sr2_forwarder + 12/0644 , //sr2 + 12/0645 , //replies + 12/0641 , //sr2_es + 12/062c , //sr2_gw + ); + + + ncl[0] -> SR2CheckHeader() -> [0] forwarder; + ncl[1] -> SR2CheckHeader() -> PrintSR(query) -> query_forwarder + ncl[2] -> SR2CheckHeader() -> query_responder; + ncl[3] -> es; + ncl[4] -> SR2CheckHeader() -> gw; + +} + + + +Idle -> s :: sr2(2.0.0.1, 255.0.0.0, 00:00:00:00:00:01, false, "12 60 12 1500") -> Discard; +Idle -> [1] s; +s[1] -> Discard; +s[2] -> Discard; +s[3] -> Discard; diff --git a/samples/Click/thomer-nat.click b/samples/Click/thomer-nat.click new file mode 100644 index 00000000..3523e8a7 --- /dev/null +++ b/samples/Click/thomer-nat.click @@ -0,0 +1,142 @@ +// This Click configuration implements a firewall and NAT, roughly based on the +// mazu-nat.click example. +// +// This example assumes there is one interface that is IP-aliased. In this +// example, eth0 and eth0:0 have IP addresses 66.68.65.90 and 192.168.1.1, +// respectively. There is a local network, 192.168.1.0/24, and an upstream +// gateway, 66.58.65.89. Traffic from the local network is NATed. +// +// Connections can be initiated from the NAT box itself, also. +// +// For bugs, suggestions, and, corrections, please email me. +// +// Author: Thomer M. Gil (click@thomer.com) + +AddressInfo( + eth0-in 192.168.1.1 192.168.1.0/24 00:0d:87:9d:1c:e9, + eth0-ex 66.58.65.90 00:0d:87:9d:1c:e9, + gw-addr 66.58.65.89 00:20:6f:14:54:c2 +); + + +elementclass SniffGatewayDevice { + $device | + from :: FromDevice($device) + -> t1 :: Tee + -> output; + input -> q :: Queue(1024) + -> t2 :: PullTee + -> to :: ToDevice($device); + t1[1] -> ToHostSniffers; + t2[1] -> ToHostSniffers($device); + ScheduleInfo(from .1, to 1); +} + + +device :: SniffGatewayDevice(eth0); +arpq_in :: ARPQuerier(eth0-in) -> device; +ip_to_extern :: GetIPAddress(16) + -> CheckIPHeader + -> EtherEncap(0x800, eth0-ex, gw-addr) + -> device; +ip_to_host :: EtherEncap(0x800, gw-addr, eth0-ex) + -> ToHost; +ip_to_intern :: GetIPAddress(16) + -> CheckIPHeader + -> arpq_in; + + +arp_class :: Classifier( + 12/0806 20/0001, // [0] ARP requests + 12/0806 20/0002, // [1] ARP replies to host + 12/0800); // [2] IP packets + +device -> arp_class; + +// ARP crap +arp_class[0] -> ARPResponder(eth0-in, eth0-ex) -> device; +arp_class[1] -> arp_t :: Tee; + arp_t[0] -> ToHost; + arp_t[1] -> [1]arpq_in; + + +// IP packets +arp_class[2] -> Strip(14) + -> CheckIPHeader + -> ipclass :: IPClassifier(dst host eth0-ex, + dst host eth0-in, + src net eth0-in); + +// Define pattern NAT +iprw :: IPRewriterPatterns(NAT eth0-ex 50000-65535 - -); + +// Rewriting rules for UDP/TCP packets +// output[0] rewritten to go into the wild +// output[1] rewritten to come back from the wild or no match +rw :: IPRewriter(pattern NAT 0 1, + pass 1); + +// Rewriting rules for ICMP packets +irw :: ICMPPingRewriter(eth0-ex, -); +irw[0] -> ip_to_extern; +irw[1] -> icmp_me_or_intern :: IPClassifier(dst host eth0-ex, -); + icmp_me_or_intern[0] -> ip_to_host; + icmp_me_or_intern[1] -> ip_to_intern; + +// Rewriting rules for ICMP error packets +ierw :: ICMPRewriter(rw irw); +ierw[0] -> icmp_me_or_intern; +ierw[1] -> icmp_me_or_intern; + + +// Packets directed at eth0-ex. +// Send it through IPRewriter(pass). If there was a mapping, it will be +// rewritten such that dst is eth0-in:net, otherwise dst will still be for +// eth0-ex. +ipclass[0] -> [1]rw; + +// packets that were rewritten, heading into the wild world. +rw[0] -> ip_to_extern; + +// packets that come back from the wild or are not part of an established +// connection. +rw[1] -> established_class :: IPClassifier(dst host eth0-ex, + dst net eth0-in); + + // not established yet or returning packets for a connection that was + // established from this host itself. + established_class[0] -> + firewall :: IPClassifier(dst tcp port ssh, + dst tcp port smtp, + dst tcp port domain, + dst udp port domain, + icmp type echo-reply, + proto icmp, + port > 4095, + -); + + firewall[0] -> ip_to_host; // ssh + firewall[1] -> ip_to_host; // smtp + firewall[2] -> ip_to_host; // domain (t) + firewall[3] -> ip_to_host; // domain (u) + firewall[4] -> [0]irw; // icmp reply + firewall[5] -> [0]ierw; // other icmp + firewall[6] -> ip_to_host; // port > 4095, probably for connection + // originating from host itself + firewall[7] -> Discard; // don't allow incoming for port <= 4095 + + // established connection + established_class[1] -> ip_to_intern; + +// To eth0-in. Only accept from inside network. +ipclass[1] -> IPClassifier(src net eth0-in) -> ip_to_host; + +// Packets from eth0-in:net either stay on local network or go to the wild. +// Those that go into the wild need to go through the appropriate rewriting +// element. (Either UDP/TCP rewriter or ICMP rewriter.) +ipclass[2] -> inter_class :: IPClassifier(dst net eth0-in, -); + inter_class[0] -> ip_to_intern; + inter_class[1] -> ip_udp_class :: IPClassifier(tcp or udp, + icmp type echo); + ip_udp_class[0] -> [0]rw; + ip_udp_class[1] -> [0]irw; diff --git a/samples/CoffeeScript/build.cake b/samples/CoffeeScript/build.cake new file mode 100644 index 00000000..b3f7df91 --- /dev/null +++ b/samples/CoffeeScript/build.cake @@ -0,0 +1,17 @@ +fs = require 'fs' + +{print} = require 'sys' +{spawn} = require 'child_process' + +build = (callback) -> + coffee = spawn 'coffee', ['-c', '-o', '.', '.'] + coffee.stderr.on 'data', (data) -> + process.stderr.write data.toString() + coffee.stdout.on 'data', (data) -> + print data.toString() + coffee.on 'exit', (code) -> + callback?() if code is 0 + +task 'build', 'Build from source', -> + build() + \ No newline at end of file diff --git a/samples/Formatted/NiAlH_jea.eam.fs b/samples/Formatted/NiAlH_jea.eam.fs new file mode 100644 index 00000000..cad5fcdb --- /dev/null +++ b/samples/Formatted/NiAlH_jea.eam.fs @@ -0,0 +1,3608 @@ +see James E Angelo, Neville R Moody, Michael I Baskes +"Trapping of hydrogen to lattice defects in nickel", Modelling and +Simulation in Materials Science & Engineering, vol. 3, pp. 289-307 (1995) + 3 Ni Al H + 1000 0.1300722995578975E-01 1000 0.5678391959798995E-02 0.5650000000000000E+01 + 28 58.710 3.5200 fcc + 0.0000000000000000E+00 -0.1332662793615358E+00 -0.1452921454581837E+00 -0.1523531912368142E+00 -0.1581862523552362E+00 + -0.1639082041116888E+00 -0.1699426545382059E+00 -0.1764570476376752E+00 -0.1835109199136706E+00 -0.1911112227682255E+00 + -0.1992425242400153E+00 -0.2078735593152208E+00 -0.2169708161705926E+00 -0.2264981576262208E+00 -0.2364198685383210E+00 + -0.2467010212354559E+00 -0.2573089641630046E+00 -0.2682127177172648E+00 -0.2793832876249742E+00 -0.2907936148383499E+00 + -0.3024184814336230E+00 -0.3142343948579320E+00 -0.3262194641112117E+00 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OpenJSCAD.org Logo +// author : Rene K. Mueller +// license : MIT License +// revision : 0.003 +// tags : Logo,Intersection,Sphere,Cube +// file : logo.jscad + +function main() { + return union( + difference( + cube({size: 3, center: true}), + sphere({r:2, center: true}) + ), + intersection( + sphere({r: 1.3, center: true}), + cube({size: 2.1, center: true}) + ) + ).translate([0,0,1.5]).scale(10); +} diff --git a/samples/Jupyter Notebook/JupyterNotebook.ipynb b/samples/Jupyter Notebook/JupyterNotebook.ipynb new file mode 100644 index 00000000..2ca74086 --- /dev/null +++ b/samples/Jupyter Notebook/JupyterNotebook.ipynb @@ -0,0 +1,210 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Morphological image operations\n", + "\n", + "** Bird Counting **\n", + "\n", + "I've used some simple morphological image operations from scipy.morphology module.\n", + "\n", + "The goal was to count how many birds were in an image\n", + "\n", + "Here are the steps taken :\n", + "\n", + "1. Load the image as an ndimage matrix object\n", + "2. Filter all pixels for those with a color tone less than 100/255\n", + "3. Get a binary representation of the pixels that satisfy the condition in step 2\n", + "4. Apply some dilation and erosion in order to get rid of noise and isolate the birds\n", + "5. Count all contiguous areas" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original image:\n" + ] + }, + { + "data": { + "image/png": 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EYhkik1nwerKt7e1mXAuS5IwTkNb+qjEO3hhOlFbs32hpGRKkrFYNLaVCWTM6\nSUfgaHeMIRiJ+8FlDMxb/ihiTTjqh1e6H6nTpYqai7R+iCFORVeAcT4C7eQ5Hx+5v7/jrbeu/I2/\n9oP85r//U02+Zbazi2pW3XQfvCauRHY7FImNxKzZWmNQsrAUksayrBrMT1azu1VIOWXR2YzGVCnb\nF7OQ7GxcGRzesyNMO0s9aYqHNdCf8SSw137f7c+uip3Ne6ZBZmuNqwpJR+0kcCJz204LogmOEqgZ\nzNxi7ggeb5MzlbkWGcXKaE+3JJIHsf3lngVncY6+PE/uKzZzn1lUWWOLq4Nv+3FbUlYbu15ZxILb\nKqjY1ZKQ4VR7GzExli0qhMiGQNQM00KjoSCrQjUIq9Z14u1L1tqVTnCYvmkzO+c+zVJQctEBjIEK\nrCxSDK+ujJRCc1A227UQk3LjOvpA1ww++PIv8v3/8adwnfzWv+cbuT285r333ufLX/oMdfktfOsf\n/lO8+4lPUtUQVHmTR0rbOFWVyJbJJUktuBytStEqXLNhHFqbrmroMk4NDgI1aYMPQlQbBSrmm+/6\n+vGGqXO4MW+Cm/N//60f52u/+fc0Jq+tW2cTynMaciQe2fiwCL4GoMQOBpXSpFM1VBbiWBVnCVTP\nB1m0TK98wy3SboVc1clRpJPhVphcy4i1uNA647FxgVJhZYHSlR+tTjgDDnXmWoQZSuBLGQWntda1\nZCuc6MIoSaSEytbkqm0FR7ZsLKt/HwQuE9nzPzTaViyMJmbFGqZzZaS2FpZbE5NPcAuFShJi3U2f\n8DCEQ1fDVb5xcmlsf1SAeScqU85orbBU+xuBPa+l5WrlxpBszfDREjQVQWPidr8r3d7zX37MzS+t\nj5aMSZ//DlCb+ZWJqvGF148U8Pr1ayLhcrnw1luv+PH//a9QnCxppptV3TpqW21z63xhwwS1cTPp\ng080mdZBazAOYdCvGVoMTVx6lkFkDyQwkZ1FAV1vHC1mhdSJZrdZJWzbBE8Rv39dfdBVBG0vc286\ngmMtGF+Nz9LdFD5qt0BHv051y06qoQjtgTbtrjMyjfdn8sE05iweZw+ISbYpJIrJjYoejLJWNUkl\nxZlCrMbJO6b1YYiEmI1pVha5us3q/zZmwJzK67VnStCSt5m7FZPuOm4LMo3bbvU1W0WgOGqNY54o\nkYqmgyiTaL2zJ2ctDN/aXMHEKG24YTXi0J1IKTUViWTdulWdGaxq+U1tNZZZIe5oCBdt8bsMePvV\nu9y/9QqCltnrAAAgAElEQVTyfT772Z9h5hd5513nm7757+Xv+0blr/7Xn+KH/vg/zv/y3d9OhnDk\nRMOQKbicwAIvwhcm3X5HDWz2c4qVLe+KQrWY2TMrXJQUZ6b1Pm/teVdjwuPZ0MGae1jSKuZ8RET4\n6R/608TsqtuqNaXm2hdcHJdA/AJ5oLpID266z9EQnoAgZSFqWBolwZGtaLDcFuiRuwhs7YVZ9KAZ\n2drfeNLKnoTCqT35IK2VMCLSMnnr+QpRtc0H0tbdSkwNicXFi6ntMJWlMLxJM6EH9WRC7opbO0Dl\nfOyKlybtJOtNYSAYkkrOhY7uMs/MdnRqYGrbwNGqirmUQlBraaeVEGJkJVmdsOppXzByt3tVB+KN\nVwfBxIksjq1zdxqmbN4m8dHdyqHtWTARHMWGcx2Fjyb01RqOtEr0w2W6vwrJGPsy5y5dSJSunn7w\nL/1FAPwYfPwT7+JqzDX5pt/+zagoRDJEQXcrvyUEok8mg4Yg+tddNUZ6a++YjbZKEw6oUSYtxn8i\nyghs+xTlCZD1hgx6qtMBOwDYtRA1VK0lS7ZnMVRjUqLB0IWpgRvlhjIaq5SeK6CX9qE/KSmqlErH\nrB/orGDxNO2qoY/Xa/H6tnh4hC++N3n/g+ThvPHenMwspmzypYIzhds0HmPvdQlgPK7itiavVwfs\niGRFEtGzHapa+hMRnHNR2Q61iODcAUAKZiRnLB7n6tZ54+HIIvWkstrOrIWPo2VyuXaQASUbT48m\nsIa3SzFmIdHPclKsPUHMSnpi23Y6nVW0q/nkbK6KPNuRZWsL+BVcBlpbrnQVEMM0OdSwQ/jOf/9/\n5nd+x3/E+6+DX/j5z/G5z3+Z999/YK3k4594l1dvOZ9890v8wH/yu/A639hgqaOt4GXYaoa73V5t\nZb1lYTYQrz2kCSx3xYg0ZqltApmdohHp2RAqA2SASCfPeeM8T95/eOThvZ+hLCkNfu6v/WX+yp/5\nLxDOVr9ow2bqAd4Y77CDK9ra0UhKd4CRY6sq+uqWTFygjthJuM0es5nXDUGwh0lVy+IQNAeTrTsV\ncJxJMasY1VbsyGy3mcVWNZzt1NLEbbCm4dEtvByKVZCVzFoQnXgV3Xb/Jt1SnSXSQUmA4Zg3XLnW\nYnh0NTxtB0Ah7UBWT9xrmKCdi7i1sWI/n0U0NBftVlVvs0ZEcTuD2+vk/TO4nQ/M82TOaCFUNW9w\n6uAqrWAZF+U6jLvj4MXFuF4aXz/MGUO5XAbDjNACMeaqPSBLt374wzHdj4YXUtveWUrheC2iDkyF\nv/XXfwwQDjNElFVgfjBXMFN3C9zjD6ElH6PaLpwoatnBRQNoB1nWznJIC/0Fohr079k0CWWUFKUG\nK3EFlL6oG4+ULGRDCIjACtiDVTS6Kk6a1d2jIkgZEEWxEO8hIW9wVNU3cxwSaanTXKCDtUWsoopk\nH/wzs6ubgPM0vnKe3GKyYpAlnAIa2ZdWjMf1AHFPaaCpG3eCIJCAFYHTuB8lHNJ4lGtbXqOcswrX\nX5KtmYDN5GGTmZp7dJ9AVk/fWpXtFc9Wt6YJozqoZkVbqnUxUG77dUt3QkjtfXWF0DcKk7oFUxum\nSU08RsuVVmN1PgZVk7C2fBLb/VYFFhxsVhlpb7+3cF9F0XJWKt/0LX+A3/4tf5Cf+6Hv43/9vn+T\nr7z3Pu+++4r76x2/8es+wfXqvPP21/Cn/t1/kO/4D3+qg5oqt5A2JXii4W0oiCKPhYVCNj5Z5YgG\nocKQ0SYbmSwxPDdOKfFGlqg6+Ye/8z/lh//0v86cxcNcmCpjHMDiz/2R39qHlOT+7d/Iqn+tL6Do\nHrE4uapDTEISN+XMahZZg6HK1IRYLJz2fBoja5NLBYwOGtmsq0ztkZCyMe4Y3PKkbPT8hVWgyqwu\nbpzG1tMMp9Ad8NWCDONBgmu2DLS0CWpNuuAROJ7us+j+1668ZVe11bZpH8lJUasx5kxtGC8nKt1x\nmAoyo6v8QxvNTtpFhzG0R75WjnbIWrGkQIuIwuSADALnxuSSg8wO5jHbXLOsHXQ6YOxRtWrGYYbr\nokSIcLSCYYXJBAzJicTBGLYhiDZnDVd8a5U/bP0qKt3NrGrg3jZQsYA6+dQf/JeA4v7FS+7urry8\nf8Hnvvh5/vM/9t38wi/+It/7Z/4n/vlv/738/M99mtLCJHvMm/aTSJoBrRj0ZLBfUjOojC1VbVcY\nWVv58KQZ7Fit7jRq1eB+bezzqYWhnix/7b2G6iAhtdnWXUnlJmhqdYGZuy2WxqLJPgD7E3TbZVvO\ns9snr/bCI7sCVG1SzYpI4TyVxzyZK6i5f5r0iDriQtZJRbb10JQzak9pEwRjrdgutuQxe2jOCljZ\nKoBOLg1/yL5AkfnG6aPWGthkdNWbQa6GPoBum6S1iLVvUlqTEK+ryEhM+7KsSB5uEzdlrXNXHFBT\neUxpQ8csmDBpx454MtzbZUYnU6+BanC5nEi7bJmSiPUBNretnhFyJreVpCyG9mf7+n/0D/CPffu/\nRazgC5//MrfbyTvvvOLttz/Gy6/5Wl6+etUMfl2Qs+ceq7WZpCwJvVEOQ5TD+9lGWCsmTDeV3p5/\nwdBITHvOREhTt8UDFs43/M5/kidh6pe++AGf+9xX+PKXPugz12kdRPmn/shfQqsaStBJRJNM6dvm\nvHW3iCBjcVgS2fpUlwOiUFp7miIkLW/san71263W0Tb6ocgchIDZ4NjnuEmw6oE10XME1KwJ0Ggn\nGylUOlpwKUi99VCmeII1+meJBZmD4NKyNSsklZKGY5YIYoHIuT9zYRZUnbjlHmvZsrVcE2QSY0s7\nA7K2e07gom1QUa2eQyHNi9gMWEpy5ZbJrZQb7fycOVsJktZzFaSfqG/659T+zOY9MMuHgs5Wsag2\nXFZNvQnWiiFpV+flEI6LMkz3ZLgPj6kfGXSdHino7piAXFr/6GPwz/2+34+Icv/iJe99MPn0j/xV\nfuYnf5a/8TM/yb/yz3wTf/I/+0N86TN/nf/+T3wPtt7DdOCVPWBb5p6stP1j1UX3k5oh9uzSvsqD\nCBriyGRJj5pL3ZpMEayK0n69VAfCJ2JCaJ1gSstmACybIFrapODqsN0jGDe596RgCLH2o2+Xmlfr\ndkO7xVHPrixEUI2NVHeLf94WX35cPMzF65zbmWNE9dSv2zQCZQbcIjlRXpeyYoG0znnOycPZ4xpv\na3FGcLudxBl7JGS7e45q+dgwMKk2RAznot6wSjYmZxIcChdzXuzh4iqgUugeSznPgqo3w+qPagH6\nBMQhGGgZt9X++DDb+tbisl1Ea/QM26rtdDqSKS1sT6E9+XJi1FZ1QIQw0lnBniKlxDzJtefLiqAM\nbtXJcsjkG373v/pGbfD1v+kbML1wOQ4+8YlPtAOSxGqS2vMOJpM5BSrQOiiNre90UhO1bidtGRd6\nhKdtiOS4KJEDdYHqPTNzpglM4a233u3kU79ci6n8y//BD1E0yWvSQS5l9uc82x3YB6hdUYKSNRij\nO8QzYydRofO24OUkJ1TxmG3lzervEDa6TBhtz53scan0TI0R4Kv5kWL/5QTVFaPIiVBUBaI9llPy\nimWbP4qtNtG2zYotDBrrX534NQuVYEhQYVQOHgMuNvqOhrNWE5uyR2EeY/SgIaAsOC7F3VFc7ooX\nF+nZIO7b/aWtrCkDLjzGgnzkdsLtND64wa2UQwYyWookUvg2lywRGD3+8aIHIg29zQoEJxbtiMuW\nm9kw3B1cMW/JZM902LXcJo4/PKZ+xBpju7vUetBFdKstFQyHV2/d86M/+mNdXeb/+7VVxfd+75/l\nk7/t2zrjbb90fyhleyM6A+8LDvSwiaeWf8pmYgWsh46otrskN7tYKT1rkyd/eWPOReNa6JbVrGTJ\nCdUVTMP3SUWzk7loBhTZAgHZbVcPbO4hJN2iexZBy4hKkpT2+itNHsxZ7YoSIc7FiiTPVhqEJDF7\nLv6wBvznVnfUCsykKxe0bZFz9ZCQWN3SVDHGwaHtVy/RrV9toD/F0WOhCdetVFKBBz0Y1U66lqBJ\nj2harZudc4u/TZk59yCangI2RjLX4DqciIVJ4N4TsGYEnsceCpSsTIYPKnsexSDJ5ZhqW2KjD2zM\nG3o9kGxCpmw7q/bwnBVJyGTIXesqIxgmVJ0MG8x85BCnNPktv+Of4G/++F/gOAYvX77kk1/3ccqu\nDC++79/+PWB3UCey/jb/yD/9R/nG3/svUHVgkqy57cQSXRXuAJt1UmlU1Bv4I6Kr7Pej+Mkf/gn+\n9qf/Bx7+r/8OOLcG9Fe+Ut/yqX+H19d3ufNW0wzt+RxWzVdINVmbnlCjz6ApNZv0TGDoYtbBVaT/\nwgDvYfasvqej8TjElAjlbrTm/SGUq7VqRVYRBrIS39hcT/vbmHtJQ4Xmm8vZA2sQKk/UBpOJiyPV\nDkgbQkQrkw7dnYluuCHH5lFAJPFQ1plsdSciuc8gqHVH5Qg2QFc7Ed28oRL6LxVwqqvYW3L1wYwb\nU5Or2/YSJGueHEcPtJos7rHmYhBSByq5uY2GaeZYOJsQL6Xq9kZNNaSlrKaJO9vy20ol1XZuyoY5\n33jmf61BV8y2tAPqYqzbyf9D2tvH7NqlZ12/81xrXff9PHvv952ZzkBKW6aNfHTaKB9iEW0UKBVi\na7CxlGjQBMGECEHFREw0GqB/qFhMDAkBAsGPEvmQBBEaaWIRsNhCASmhFKIzoZWW0s5Mp++7n+e+\n1jrP0z+Ode93KNCXj7dN5q+99/Pc93WtdX4cx+/4n/+Xb+F//O2/iU9933cT57vUXRPI33nCf93X\nfg2f+8VfvlF24m9GSdT+2bItDxSHYlrarSxGgyyBxmOKdVin/o3cmgzbB/sqo23QRm5Xm0mMKclb\nOjUXs5lsqtmovhdCxptxgmYTaDHiew69SgcTHet3opfaKt+tSaCLoZnAKYYOZm3sJVY/Y4ENXi+5\nmSwHZsEqw+u9SJiLHZQn8zSOS8qx5WJXZEs4k3HtgPHiQVWWxhSNDMn3BpJ83fnGIEnYcUmYjUC3\ndUVyVuCxdtdgTCtm6PNWWIq2+Zjxohk3SjxRn6w5dTmOThAcW3mgdIJFr6Fxfnas3YidpDHdeABV\nCzenXae+1+U0Cr84t6fJpTWGXxW/Uyfdi7WA3uSGy4PlyVmNj/3cX80nvvOP85N+8k/h+7//U3zT\nN/9hPvlDf4s3j//+HAr4yb/gq3l+doxFoCggc4MZuI03Yvq7EkD/b6zD8FAiwbf/vq/nB/7S75IW\nff9XVdxu79H2QNOGz/ngwfNz8m3f9Jv4iT/vV1Ir6WPQcaLDWScX78yYHEcjq0OTVnvOXXGl2mmL\ng+FwErh3epj2G2hx9Po2aRiDIdXLgobmrVVOy9z4z8VoBydzy6QSy125xcKORuxnvVXQvHOrxMcA\nFo1jsxvuFX9uK3NgeWFR9KWlJQ69O88LRojI+0wyIukuW3n1jpmgUtYkT8zl2AGjqzszZytApg70\nU5hHax3yykMLjg4vHI6jaH3w6ji5jAuX3rA7v6S2A469symNv9xdu6vSaM2btNgyVSwuhz5zc8PW\nVn00ue5WalewFsT6sStd+7FKYTOr7/ir75IUv/Mbv4nf9Zt/FfH8Q3vjDX/vP2rC80Xyrf/39zLj\npearJjC3e2lw7qZbEtfCyA48Tt2G6eB7g5wmlcJwYmnWEndNnSEzRMt9Y9qbJ71S8OcqwZ+JnRrh\negPN3oNT1EY5koPMEJnftZHs+xA2LSeh/I12rxHgg4wpTUe62tRTqQ/vlvH6Mzd+8J3kM7fF6xms\nperGA6wbZ2ku2HPhbVPSgHEUw4wVHWx7/x26O49H4/Fh8Pa1Mbo26Jlta3K3pKwJN5epbXemc+IQ\njc7Jc8DMJKJ4PYPbqdFFhPGUWsDdXJXvCphnEihRo1ibd9ql6SxJcnzNfWG57Mpd7qPhRa7A28BD\nizfby81q4hRXwZnGi4Eu0dDyfJVpUbov27MmrTnnSim2y5jZ+M7f9x/Cp/4in/jEx4mYf9dTuZ9n\nfuk3fJwsx2fqQvahBBREn1ONduyx13sLNXPxCmZ0KifX86/ze3/DL/y7nv3P+9jP4aM/6WfyrX/k\ntwLgGG+/NfAxOJ+f6R/8cr7m130j0eFwIGwDfeS4o+l+sCxm+n4HhMS8hXOdxkRsi7kW1XVwdFvU\ndOiNnEt63a0aGvZMxYWyZyIvHC0kZTR9hxduEIMnnxwl806zza0dxVlt0/TijfkIXPhSdtdakk9G\nCIpPqrtaOxOx0sEXzS/MuYT4rE3363cXp1yCxqF3dhUPF2cMjdYp21LQIKtprFZG81C0lDUeWvBw\nNR5HZ4zksdVWInQuh/F4bW/cevf/WoNrG7gbD6No7b2pq34vvUtH17tkrfFgOufGxbkMOC6C0hfq\ngl+9dP6Rgym9OWvB7/j6X/KmkH1TAeyF0v3n/9zPfcWHP/QhqorzefLP//Qv4H//8z8AOShrLGRw\nwBZZA71uul2MZ5Z1fBp0zYZW6FDNSmyJ2D/PkNRLPEEN7Yc4ILEdRN21EdWWNbAcuz1S4KBjag32\ncsxN1ksBSEzpP5GMMmgmyc62VNrKzfZ0SX6ysDbwmSTSNOYGofgZjNE4RjCWwfPAYxGtc0pmgdtk\npB4Y6r55NXI2blurnKGgyz6Kh9EYzeUMao4d+yBc0idSgg0JJJ6qIpZCDrOC8sVaTTbjBc9ncgLd\ni/BOzMUFdUjNbR9IzjHY5gKYmwdcrvEMKXqX2yCYzAnHeGTVpEXC6rJhNlXirQwB4Dszg1GCXD8i\nDkLH8WOxyjlakmmsSiyTt3vy23/tF0nFonPuRzdYP/oJRpes8bW/+buZ0+ku7/7+gVAw4la0ZIJP\nWkC7NGmms+ErOLMxOpzWeb58Me+tRJLunV/yX/5VIhsVN/yP/FaNAw7juL7gchQPh/PpT30rH/9L\nf5qP/tNfxowLBtzWpCN8pBghzlxJN3iKZ7IGPXQZP3dVnjcEOzLgeZsfylOaeEpSzTuCtImS53nh\nciQ5O1jQm0w5qxRUObKxnG382IvRLPrSs4073p3n243ehgopTsy0D4k46D2IVKrGuo+7NETGGLAU\n+dWmzEdpi2s7mKeet4aUDHkL+pA99+oaPbam3LdoSpfptnc+ulkgk1cPyjl8GDB6p3lxtMHVjdHU\nZa8q0dA2FyaWYFaPruX12MkSsIuWEOdZ4xfHfDH7cUd/79GTfn4rtvTgx34if8z/OsXo9ndIz0br\n/Lb/9nfwHd/5N/iz3/VJPv+L/hmwxid/6F3e+REBMi698YVf8GF+/s/8cfT2jLMTQNHsCluyArOg\nTtbW5mH3ak3uHe+QvW/SmWQhGUGyhJCj4LwfPFqyCEcJZaeYpzWZJNlukHIBrbvGUPJsyb22hExp\nqsZqOnzemDfW9pwj/OExnD70AbeejKH4n7bNH7Ztgy/G4GJwvU5sGCO2cHstahanp+DOW82wMJ5v\nqYy0grO2Cy6SFfr3cshocr5O4fzCCeaG9NyBHc65JiuD81ysm1M34/l24/k5eD4XUSGpUBrtCI6L\n0w/nMjovLweP187DKC6HKhiB0zUkdjM8bRtbGuZGd81HKxZjq/WqL2ZJMVEkZxozJIvrTcyF9AZd\nduPuSaPRKhTEiRY9eOOP/u7/7L0DF97nwIWXD8bP++e+hJcvDmJ13IvAsU3ncl+YDbXo2aAaPtX2\nV+gSMBOp69Jja8hVfX3lv/N7APiSr/j3+Nf+i7/OiisRTtkj/dXnAXA7k7/9g59mhnEcD3z4Qx/k\n2/7gvyXZ4lzMmJg7t3WTYeY0MpfkadXAL8h8XTznxFKb92EhKRdwWCPLaEOi/bGNCo5xDLTM2pba\nNbX8Um6hc9tWZnoxrDEwsht9k8emdaWjjCS6Mefc6cJJFKQfOylBz0fEgUdhPTlMDrRgQlN+3fRF\n1KJ1MZRbOuctSV+cNYncfNvustXHZEVul9eSPtqMFw+Dtx6dF1fjoXceu/PWi8bLC7y8KvGXnFz6\n4HIY8WBU17x2uBO1MJzWBGE/dhCut/aGL6GDvmmE15xz7bOAxkjwo9HbjhYyGZVWvs8DyT+II605\nZsVf/p7Fl37JT+dP/ulv589919/mZ33lL6X6RzBr/P5v+mao4HYmn/ie7+dTn3yHSfLy1SNf+BN/\nPL/tv/71zEwWKMGz5BWXw7yzMEw9JGbBoOuGtisG9NK8dUVy4MySDpDPYjdkLVYI51ehBybPg7ST\nSn3Bcx1EPuEWOGA5qDogu+Ds7vjYEI6SLtTM6ZYYqlrdFLrITlN1dy7dGGPzgZtcModDH8alOw8X\n49WD8+HHK28PwVcixOm0Mu6W5paOl7a4XKTQuN1ucIo76makTQr93rdTZK1zBfjSS9MVwV3bZrpS\nzrAHdKg2ppYFLTm6UAakQjHjdKJJAzyO5LCi9+1WuomRE1b0rsqB8yQJchpt663NDIvAfIGlOBGb\nZ+C7JRpNGW6VDTs75cU1SxjOGqwdTthcvGRsV6aj+Nwv/NL3qSM0Rvi8z/scfto/+UV88cf+Cb7/\n05/heQajDWVjoUyvWg55pdliRZPueBshiMk51VJzSkdzQ9FQ1ElV8cGf/C/wdV//1/iSr/g1RNx/\nKiVOf/Wv/6MA2nQnfPpTn+E2i6sVL64H3/Nn/6TSF9jbF7vynEp6Vvi7ETxrBuvBrZKrD7S6KdI7\nGUM8DA/KOjlNHGer/UwYT2la5jbp0u8clN464Z0Hc8oWFxrlEwpaBtSkj8DPHXUUDZ/3bDyjXPl0\nvZx0Z3gjpma76YuKzZrGGP0q7sKSLnZk57TAmGTuSjE7zAvliyg512gK/izE7V1TTkrcsG6MA64d\nXr4oPvKy8+MenVdH5+FivLhe+PDLVzxuNsW1BHYvYKTz2B+5dudAS7Bum5R8lz6+wRQYawURN9w6\nfRgPPrhcjYfmHEN+ghSFR1bo96kE3nem+10ff61ZISbNaXE30b5RG2Rqg/5lX/zqzZ99663BF330\n83n9+sb3fu8P8Ef/zPcTdeEeK4MFwwdrFy3uYKlfoGxqKRUS5lPaNho7EjqVDvyjYcEifupDtm2j\nzB0tvT9JbGyFhHVqp8k6svaFQ6uQJoqlpIP9Gvbe35sZ817124kNkUnW/t85i9e3hEjemcbtvPF0\nK17fgneeOz/87hOfuSl/rEh5tq3xgGG94S04vHFtoe2oNR66xgrXa1E0rq5LAdNFdb307YwyZhjn\nbWo0YS4kpwlJN92J5Tw/L1ZOVsIZyZpqn33P6FYr5q24lTFvJ3M2bgXP59xEMSX9pg36LPyisjYn\nzAXt0vGU60oMgQ09AsaR3DI52qB2bp43QXvabJIaX/Q99WWsNjnorEquR/A7/90v4l7imung+rr/\n5rvws/F7/9Mvo+Yn8Sre+sCFz/ngK55O4wt/1q/ioz/n32a64aNRp6JkIjqtrY0WvOIs5aEhQE5w\nw+tC5BO9X6WpNhGlYhnhyeGSIdWtMbvA3WnB3/pz/z3f+gf/c64PF956qer+wx98RZ2L7/3kyS/5\njd9B2YXwTj0vstV+HhsrFMlz1qC3Gx6NNYZ4HAW1ApqzctJLAHtluMFCzNo+Os+WXJakdlale6Ud\nVC4qb1gNjiNZszEbXDLAYZ56J/0uFTOZF6Y5gxPjwkKkTk7BvefhEDfNxEOgoocGt6UkEwOcTtqz\ncuH8gawbhxvUIOsmGV1XHJIdMuqMpm13oUSah8fGq6PjZlxGcW3GQxNbIgpedI0CWmv0rnfVzWTb\nb+1NMO7AOS25Hk27crMNvrFtelAF29x5cRgPl844NCN2bxyX+16pNN3wvXQtePVof9+Z7vtWus0c\nxkFvg8NFZGdj8HT6jM0ccP7QN/+5N3/leQu+//t+UEPqh4MX+Q7OxEwLhGsbWBXdoNWiVUoGVjdB\nMqrQeP0CdC3G0jW3dG1sYwcOLppy72NuSpm+XrJTJSug4nr231t7UwqKuCmnNryc3Wbgg05u9uYh\nt4qLJtQ3FDztTtfXAmx4cbjmfo9HY/TBy1G8PAaXMTjcqXriOOCtB+PlAzy6c+3OtSXHaDy24K3j\n4O2juAzjrccLjxfn4Wg8PjjXY/BiGL0rtLJ3UeDuc8tt/+FyDFprAtC0u4bYOHZ68xgNb0Mb61CL\nNY6OD0FfPI1bBnMu5jKeK3jOLRsqwdnNjGFwG40zgudYnAVjLKxuVCkEsltCD7wX7bKj1BHEumop\nd6qKdSuWBbRJxQkRlK29bArlfp0HX/Yv/2ps/98v/y1/ka/7hk9Q60JW5yt+1e+GSi5X4+gH3/cD\nP8znfukv5KM/51eSTYuYWkH3oWe3TbIGXhd1N1syNNuO9c4BdqO1wToX4VPzvb3tvpjifXJ2qi0u\n28XWMH7Cz/7XaZdHnp5O3nk9efXi4DYNjsaHPnClm6RUFUH2iVunVmPW/U5pdJNiYVXCkrxRqEaB\nX5SEXcwUTD5c72zHYcJY0I79vRlAYLG4tobbwXHALdU+X7YRJ06NF0CkreqaDzcbO03jkdg7D5sL\n90U0Rd5TTRzfBofBc0L3U6SuTOYOf726NNbD0OIMo/nQUplGH8WllOqcW5lEOt47DWcmeCxu05ih\nuKmzREDzFhyHM/pOhe75BntZM5hza+gLHryJKmfCkwbiZwQ6qJsbj5eiXZs4DIc0762/t8syE8DH\nXAfw+00Y3vfQvasMOkne0RtbvlBVqkQBy+Rzv+CL+Qvf9WnMjfOEyOSddxVX8i3f/AcwTJSpTR/L\nStKT8LGZBfKwmzeKJvlJCaozPGUOTelfzyVDxS2TFUvCevRJrJismVIGZKoqbpuXmn1rire3G6DF\njugQms2b9IK9v7fp1K1veIfeivJiuEwTNNQKdac3ReCMA45LMboE9Q8PxluvnI+8feHth4MPvnA+\neIUXj53hxovmvLgWL66Fxcks3cZrLV18rbi4MVza6TG65klutJE78227xhi0YRzDGb1zNOlcR1ea\nxyqdxm0AACAASURBVKN3dRYmnF8NZ1KQwZyNd0OM31uppTtD4Hif+VlOHsnyVk5aPBEbjN1N8G+q\nUR3lkJUrWYCiTnnnzXUIhA2Ojbv0DavGO60uNDuwNmRzzXxjA//SX/gf88t+y//Lv/ENH+c1H8By\nV2Ij+Ot/5g8BMI5BlXHeOj/1F/0GXUp0vCTxKd9pHKYo+WSnLqdzrqDiIufl5gRXlmhg3uh+UVpI\nwfLOdSiptmywwhgmgwXZ+MW/8TuxZjy9DtwvPNjighPziT/xO/998pxyV9nBtAKbdNe4KJsirtoo\nuh1SHRiULY40LBw3J7qSrL2CllrE+gGLG4D4zZsut8ppLXier+ktuYU4shaLGYm5KsjMElvAjRY7\n7cMSrKvVdrX/uPFcsHxy23CZMjhKqKiDjuegN6OPHb1lg7poCXhYZ/iNNibNgsbaoTFOesNsyJo7\nOnYkZHKbweu5+JHQuPJcS+zpCMJli74T98wbFQdsSJGUM9qhPjbXCCwMNp/ZTUXVdQwuw3l8MI7L\n4LErSy4idsEnl2BE7bTkgv2MjveRJ7zveOG7P/7EakaP4nSE59tGhioR1J2luBOTU2vO13z5z/jx\nvHgcfPCtR8o752z8/v/tu9lyaGSJ3Ni0VBsvXm3sw3nLwXbDK3qQVl+kMW3Rom9gCfQdHdJ8bKdb\n0ZvUCsaB+0Si0Ya7pGqi26MBO1pkOUm/W5Fd4JzuLq5uUxXhBZDETrHNEjquL40zZkljPFOR3c83\neD6DeSt+ZAXPT8F5wq2MVbEBNIvGVbS0OreM6sC3XOnhaLx9GYxjy62aUheaNyBwvxuUG44OVQWK\n7u+SQeYispgT3l2L21k8nQLlPIf+3pjB65WsVbx7Cqo95yQRPrL3vl/kpWPKRb5yjLCgLd8X2bZi\nJ9xRlESnmCx3HrIRKEvLthQvberh3cuOlR3jSRKebDtFQlpiUh5owwjveEK24Pf+Bx/l5UPjGAdf\n9E99FT/pa/4refy5YH5ipsMyQpllxqklYBbhdzi1qpFKfe9GsFLz+hVG1Y3em+aRKdRopSzLGUAX\ndN1q0NwI3uEP/Ecfo3fj8Tr4yIde8vL6yCf+vx/kq37jX9Gz6JCuNv+MfTAElM83ypkqxVl5yn1p\n7rvrFIXr9KkFT8lwRDRWJhfvnDvi6uiDiHex9siZgu8f1igPchbetTzMCMKajC2YcJjIPg9a5ul9\nMdIXlm3vtJOxx4JZXaMBTyqDNraVt+QG7d02oKdxHXLb1f48h3XSShAqLqTJMLFs0YcJzONwHcZl\ndB4PY7TkejFeHuITH11p1DI2OWUhhUSD6x125bugokkwYLXf9aTV4Lg6bsm16/vvjTeW66qid+c4\nxDkZpmVhAC+u/xiSMTY85jltz/J2XLo8tfQ9xCivfZBCOx75Y//n3+SrvvzzqfgMb731gk9/8gnF\n8vhunXzTyzTX1Dxli/tKbNbKoHdTxI0la3U5SsSuIdeiNcWpRyvF6djaD4QqbfcuHzgdc9e/5f7G\nKly6eTQDouuA3QP0bqWZKJsHu5UJ3oyMOwZPMpZFKc9qqvAlnYHTL8ocO26wrnA8Ga9H4zaT24Sn\nm2aSazXOdXKrjiMPN7UEt3bNdecqaLJO29ThUNvIEblxeQMyT2KJWFXJBpqfyAJUzErmKsHVz5Ms\nuW7WSs4snk9xJ5TevIDG8GQdckGRRutDgZZbWrNi0nfOGe0UKAkliLRmqsAtOcsYSJzvbYvbt/TQ\nDTZOGqpofRKn42Mwa9FX49mLbjeKg4naP08jrPj4d3wbrYzHlx/kX/wV/x39Ix8j525JPcgNy+k2\n8WbEPDEfmK3tUNRMf2EcrRMZSgLebXsGWJ6bVMZmKis6vR3FiqK5Ynlo2jtUOq0/8Mu+4a/wx7/h\nF/HBi/NTf8oX8Im/8QmgeLg9cT6+RUURdHo3zHRZYzq4l00sO4bR6oTehVzNoqwYNGadHOeQPrcV\nVhMwjo4SIkISTY/A7EFkN6SnnaztavRN66td7qgbSJLeQuxqmxhO1DPdD5lhsm13ZjCqUb0gOoz2\nRoF00BmXlO06T+be31jBIDinLmo5MjrZNebCpMdtPsk9uutL7X0fOk+iFiucXo1qndcVjGth4Vw8\ndmhrhzLl1EXxjPFgKuaaHbJ5p+G99pipk03yUMnvdC7gOmPMOyAYus4zqSPkGnyfI/X9ztzs+svG\nYewS781CSckKi7RjV6PSgxLBWx94xW/7xv+D24RPfvo1MwLqtt1cucMmN0vWirLFHUW3oXvgtnmr\nbKPDFIADOFOV6KKYa76Rm929z26yETaX8iHSiNJ8sJar/U1BeMxhNLleWqs9v9Uy23rhh9r4Y7Ni\njaIPw0cpyqZrNuy7qrNSxWSmn3G04uW18/aLwYc+dOHHvX3wkQ8cvP1W50MfcD7yVuNzXh48Xg+G\nJ82KTuM6Do5jKxI8iWw61MpYc+sGSxggu38vS1zxqk70JY6AK24ofTFPf+OaeXee3GKwZnBbyTur\neM5k7UqQFBKyNbYcrNOqMXYHoYQqPQvF2NZrbbp7NFr6tpmmmOQleXVu80burTjnNiOYZuaYVAOZ\nSvHI3IkCloyaUIccetXo6M8dbvxf/8Mv5cd/9GP8gl//rfQPfQnFweHCu0QZFcmlgjr7nvFDbwsr\nye+6SyPaAIs9I9+KjWFFK7GFEyAuuAf9ULezSplklUaNbX116XPOTF7XK37er/sWPl0f5pM/8hl+\nwud/Pmec/Nk//PW7ajIaS0Q/BItPO7C2GC4wlFtSHFQt2uziSpdpOZhdkrudHZg5sK4KPZdGN1QR\n3KDv56WgmqzonlB1svJE2w5V7bf7O1+6IO/xP+RQdhmycItNrKpRxZPegyyTrds7rYaSWZrx2NUF\n5KbchTt1FpRY2CtV2ETaPtw2YxvjRF2th4BUQfG0gqda3GIRBbcTnm+L10/G8zSenk9uZ3C+Ls4p\ng9XpSbMLEcHtltxWcIaCYOd9w5/F0YzWjdGdo/k+9947JzAVgUOy/vc9Vd/30LVSblKaRNKtNdn0\nWn8z77TQll3oNm3xrJKPfeyn8RVf/Sve/ALHoS++2JvUUsxNTDmqFvtAdA2pay8TKHa/BGVSC2Ai\nA83K7XJLLVwSqnW8S0ytmOtJb1vT20REOlrSlC3DsdMsdGDfF2bGxZ0LcJHfTNXwm4MdHbJsg4bV\nG55pql/es6l9AHfb6DldYA9H4wOPBx94HLz16sKLF/DqcuXV9eAYrofTZBGulQKIuOLEV4A1+eTL\n7jxdvRw7jo20ElHJjGgnUY11Fu/O4DyD26lqJDI1DoliLpQrtjm+i5vm0yw8JG66dwtRDWoJ/mNF\nazIIRDP80Jy7XC9dhFgdeHHsLiNLVZa1INuNrWrWy7/b1radiQ1VJN2TZYpkd8QhCBv0bjzXM//S\nr/jt/Pxf+8cwf6Rb3zhKKV6sFsuMs4LqiS9VjprH7YSPKoVXlqzosxrVF4GL46oSfOuvl8wBIZVI\ny0FZYH0HcBI7xkmGoBYG2fi5v+YPsD74lfyFP/9XePvVS77z2/8nvTu+4enZNwfBcMQJsZVU3bae\nHKwuLE/WuQ/ZvMOfAs+teElY1ekDsqPuqIfMMuGSwjEZWSw7SBbLO80G3qRGiq2lTUtmGUcf5Ooo\nwLNo0Wi2b3k2ON/EJabtf1NRLrgFtmfUozaqEc1dKWBCpMYnYXDpxVm5edZKjrDNLJUZQb9BRLJO\nwX/emcmPnMbTXJzn5PUt+eF3T/72Dz3zfZ965gc/swSO2iyLtWSnXit5JlhzcZ6StmXalqUWJwGW\nZAbrDig3Nk5Ty1cKziwdU58lI/97n6nvM9P9a39z6maL5DRFeExM/mI3MpYq3FKkSxnkUpWSoW3g\nv/mv/AxevRj81t/1v2IPH9bccv/gqwrWXfOqrbDx3mbQjT2wViTIuRSDYwZkY3X9uQuac40usbgf\nJQ2sC0izVcAcW2jujlrAu81vf//WZL08YA/V33wWuoGX/uz9c1uhFjciWThre9vvMB5Rz9TW36V3\nleLfZqCstLl494Sn14vbhuMEMho0g3dPfQbdkYjdUStlCFNXsW9d30wLVRB3OpK3TsQzM41Pvzu5\nzeTd04i1WLZF8LM4czKnAjrTmoZTpRiUhaoDHQ2a+TZ3IhXQmNNZLTj83mnImWM4nS2BXU742qYK\n55bFpe+uJ+HobZtATnp/wEPLKT3I26rNTmYoZzTDNuYwcKJumF12nyQjBqHvqZsqJ4Dp0JZLxdEl\naVvRKDvFTN4dhHPIvjzEA6hV2D1qJrfbipP0riiX1M/RvCCKjvYF5U4P47R4M+fu+Zo/9Tt+OT/0\n6ZMv/cr/hC/9Z382UalxUW6CGHrJfRtPKvY4zmRhxkW+wwzzpqh6BlYbnYixem7dLWT2N6Obctfo\nLmU8WRn0lpy5MaeV0BbpB5zB4c7ZUBfncpTNQ3sVN3VhjWQHaGuxS5LItv5waAHdy5kGaxYrF15y\nj75eJ9BpKMz0GIIfVbLh8fVm+SujqJaIj65CY63FdQxa7zxckse7uiCdWwrqfu2qsMdj5+1Diz0F\nn6haT4exOn41LlZcL8YYxeP14KGBb7i9D1X2Bvt80AK5dT1flyYOxt9vpvu+h+7/872LuXOylu12\ntgxLzVqttMnLXWLJ9R7EuWnvdV9mbf1b7GA+B88DXNCXNyfsjprpnpgfOjiozeUUdq1CLR22539Z\n1AEHThuacfXWFPliBk3jImpXTEOi+76DHX3HM5vJ2npFrNxsxkAxHWYowsV2nlrBNPBVnIaWENvN\npqRafa6VcrX1fdHEdstFLGIJqn17Dt6di/OWPN/0+5sZvSVRndcLMhb3qPFxOB4hEEjTMehub4Tr\nqwTKeQ4tKVfqYI9IXq/iXMU7p6qO16Hvk0rOEGM4o+sASKi2gUSg2Wspj6syOKdjrYiV9KGqLlbB\ndjC2rnFHoRcxjS0BglGNtRMOopJOx+6LrEQIvhXQBbm5tC6ycoGxtKHWCgFMYZPTnCPV2cytTYlS\nqgUuZ1Z2IMBWJ7cZwN3UMe3RlCpNZPm0jvkpvnPGhqZIRxsUvYOFlnxa9mj+viZcjtT3Y8VMRejM\nLGqliozmRE5oV17tLDc2LnQl3JZ+13O2bTlVYolZMq0zCALoHPt522qiOuRkcZHsGotVnUuXXEq/\nnLEs6cjwk1G0DssEh3JzbiQHKQ0qQpG63QhEkJOoZs95s9PGIlIRRNpD6NkcXSkjozkrYs9OxWVw\nW4qcSi3bZnWu2/E2NsLSVOXgnrQ8eAqNAS8s0pSB2EzP6tGch0NhqNbgnMHEuBoc3XlxdS7tECKy\nFcfRd8e7j6DUKOm4Dh6vyePR6RehTduQjLV1jYJaFwd8dBVHKtzETLkcf/9D9x8omNLXJO2gR3Aj\nGQHPON1c/E93PJIzBVzLZXroK8m4EX7Im2wN15ZBX2KbgifXtkZpq0WZqPnOjnwucWqr9CUKw3dg\ntsnyaCygPtSUXmvogTOFSpq5IPzmVBftSti5Pc5ILbyai5pvVhy7utWBLPvh/nWhYEQxm5GnonuU\nTWYcqn+Y4W8WddPlbGvlrNKG+E43OzM5cyn2owR+6SaYh9nEI1n3v8uM56cplmeI1mZ7o5opzei7\nZ1EhgfeZJzLXKlxwIoZCA15nYVNMjNrwEUtdPl4a3fTYc7yStvVUe0IBvRuZnT6KvBXexVgwdxkP\nkMX1DSYTfZZKunAOtF23Mr2gCct1eWUuWit6brtug6xGy0Bw7aA2K9ZxznIlXvTc2/f7chbquDMy\nksOME/A6hS2twVqnDA21/7a9wda8etK58JwKb7S+dwvuXK1BpqJ4SMbOIsOTfgladrIJGToM1tom\nnAMoFzIyL2RNXWrjUHwMV40STMudo8l6XRitSSY56m4OTpKFd9uw70HViWXDcYbthAkW87wbigr2\nZ7HQCMBacpbTywWkd+NaipPaQAH9GynmgDCNTubCq28Ep3GMK8YkXeMtDqOXAlvnbuXDHG66UFSl\nJ92NKAUSVBWDwGzowkP/XlZn9ZsSVGpfejpx9GcryFvyI7fg1bVrxtodVjJdBLtzySz0ZIZfRBSL\nlIZd40PDDrk6AVYBM7FKpjfGVlHROnHuuLBqWrKbxrF/76P2H+LQteZEdVqmkJfhnE0vJXc5UuxJ\nMgFrgC8qT+5pEM3UGhrKGuvCXjHMVXkUVC2qGm5KspUsA9KCmQ1byjqzfaB6C9w2iSsbVidlB/fM\nqULR7ZlOmbLp77zXe1JCUrSuWJ/mTkOKBXNVusA2bOglrtox8anD8WY6eO8z3rnjUZ5Kh/Q9pTQx\nRhY305KQuo9NdivWoN/0cjxnMs+TZ3PGocwyHfxydMWcwl0ueDLwgGFSPqxsvHtb3Na6T4RoLnBQ\n2uYO20IK5RIftiW+DNvAd+kNi/KgZ8eaPs+jDW1y28nBA1nJbQl03TDWQ9EYRAwyFRHuvetl2gqV\nVuyqxLjYhkmbsfq+oDO4ZpeywdQeWltUv+J5cnCoio5GdOEuwyDeAEoEANfUtcBcS0/TjNZMGVaH\ngQ1t5ctu+yLQrqGiyGhKSqFUicekmw5IxgnRGMeGLrXk4luBwnuMCNLp18k8E+tXVibtAhbKZFtN\npoY06D5wv//ZjT7FaR7M7CwLuSezU7YY6Zo1ByyTtKlSnZM+b99VrrQgVifTDy0h0iCD1RpHGbSQ\nbDKPvXQ+6YdB6LNreyFMU3VuTfBz9T5J78K2DlEbMKYu+eUbRdlZ0pkokSRVDOgiT7KaLj8Hsxsv\nubBqsfrBS0vOOlB6jcO9bi8FzmYOnktd4HNplDeaHKivb/BwFP7ksJnV71YQt072qUTgzccdh36W\nyk7vsTe9sGbHPYllzFaMqefsRLpt36qistJ3sSVk/o976E7kPJmGbnUN63YrLW/5qmBOzRXTJrls\n6+zkmR8u2ZVharPL3lvClbS5lW3P7mTVywwilKbbPGXltS3Od8Ukr31It7a23bfepI+aFbWajA41\nWXURJ7T1/aEaD6bHpKFKpIZr8SEluKoCF9tz7rTeKpj7EfA9G27NiaVZ1ERVlXtyuCsyp4pw266c\nz5KlmJZJnGrdZi7mTG4h1sOK4mFc9WWywycr8TjEZ0jjeYIRnDjPa/K0NGdWVVM8VUBd6XYyMS2H\nduvq7eBiSY4NUEf5cnGDMwWNTvQiuxejILlwMsnse1nDe6aZjO3kEW7TLRkum2bRmbHAZJho7rSx\nP5PaYvzoiglafY+BOkTieaPZFe9SGMxIehqjG2cEjYHZJNJ3IocO1pWp2KRb0A9T+gg7iDSC8KBV\nI2Nn8OHcLLmOfI/7XMr281jYWHJC9caMUmx5NmmV6QzXis8s1Pjn0Ix2L4zaXiY2e6DFyU1GL6rg\neRbjSFhit3rXzD9Nl3QYdDfWajQ7wYQivNRW0mbX7zilm4ZSV9Cg+YExpZN2p5px+JSN152Zer4O\nOs9qp4TgbK6wzJCJ5OJSlZQNAe45MJs0l1LDstPcOGPJXLQXykVX2svURegNYuqAwvYozgrzi/ZG\nNagsnohtANKy7SgxcbNLG59bLTNLkJqGMLAZSqcQIvuGTyFRDzcsp1ylFficjGHYNGpAb6ExkMsx\nmZmsKWa1rSSseHdX5+fW7poB1mii82vJ/aP5BP+why4zOJuCApspzND3oVgFsZJVQTTbWzsNzaqC\nNSdWCTmx9qBW0JeE7sWWjxmUxNZlwfLaHNiiWcdGkrkoJJ1iS3nMhbrD9VB0C9bWjWYmtTS4z5zQ\nLsDUEx6a9YzmTDS6P3pACabTuhYpWG1Jmarb1tUiZ+liCDOONHFRZ1HNOVNLi+UyVLR2pzU5mZOb\n7QqhBm2nTXRftAN6SJvbmukwO3XAdl/0A9a5aBHYcbCWFjJEQWt85nlR7rx+LlY4r8/iJOm3povx\nMllTJP9cnde1OLpm7Z1G9C0eT/UIvUNLI7pGL3lKTREs1m2bV6rIVuTUZxTptKPxqhtHD1aYYDpl\nXA7nXEW/GFauLLQCi2J2p5UYC8/eUFZi7jZNc/uyK5cLHMpjIi8mw0NNDkOfaeiylTTKuC1BXawC\n606sxRgHc01hQ1Ngm+Gaw8Wu6I50cgZ2dPKNrC20zc+gGBCn9gE16ceh58MTaUYT1kE/Gmstukt5\n0n19FsMgKYJLPWBtipzlTRporZGZ5x2eLfVKd0GEBgXeiWnQ0VIt1dk1mhJ/N/O5TCkrVkHfCQi2\nedbBYLg604Yirs64iUkSBc1pfXNwTW2HdMiNo0nSZf1UQvNdgtZ0gT42/e7eGrelOX9LjWR00emQ\nixRS1LpBaV/TffOzu9ObkwE9G/Tcz4YzQqO53px3Vu6wSo1ffBkxUqqMua25QyqVG7K8356Di3Wm\nBTMvutEMRfMMDT+r6Sy5lHHUFPJyLTlmbY+YGOrUl5Cyo2u0aT86Qucf+tC1vTFWQJU+uM2hzFTs\ncu5onAzJufbI802rmjH2MupU6B97YVNBVd82V/nDiSRctg5pQQuzwfBGceMyjp3ScIfvONWeyRgc\n3pkVGluUFA97YLsBGP3NSATg8GR0zfF06+6+oO5qBaU/JFo0hNQv3Ng67g494bUJxmFbRS/Ggrz7\nlG7+2uhIvO/tuP6NsCb9MBpzDIObNcKc5hJhdwK/NM6zYHNF9RKoNfQybnNpyZJaPNhynuMk3Tnm\nVpZsAPklO3aIkxsOPl3aUvPNlxU1bDQt48Zw0gtO58FDSgabtOx60LJ4PGKzHvS7vGywtn45o3hw\nh6PJy9/g8MaKybEBSNaMw4JrOK0bT2WsWdAWV6C8MVGApFdQnowY3Fw0sKquZR1F1uTSnLkWrQlz\n6dYVarnEYx2buhWoHWyVhHUcXSYRSlJoluQe7XTrcl+qnsWGMzw36auYz461g7wsHdx+gby7yUB1\nYtvyw2OrQjptKYG4mQwla4l3sHLxdC7acHw1VissGtiNcmWItY1ALdd82dC4b9mzIE00QdtzIqjM\nIvbnGHFqIR2O+aA17WAE7R7coslsxGIch2KBKCmOhirL6YmndOQNmZiqINuxdd4FvXFbWsZfvADD\nstH3hCZzaaSDdi9WW36WpUvVpihuBrdQxX+FDXNvnKttRc0k7FCqg4tP7enEalRNLi3Flc7BKo39\nzii6PIVSvuSkNbitoDURER/KuQ4jsm856A2a8TR3LNjRuA72tjje+Bj+kQ9ddfzS6C4vam276LYC\nq4Vr5CkpFLHdaamkzKygb0al7RxSyctyjxhCD9DSDLZZo0y3xord4g9Vr4ddAGkNvYKyCXXZ5byU\nA92KSdLioHy99wGUImSsDUbT1j1Nbc/DrkrlRPss4XhJqnVXEzSHtZLLnu3ORHASQ4F+3sjNljCa\nDtsQ+ahZQG2A9rY2Y/LpH71YrWlLOp0jF5NnQIQy47JnTtrqwtbm7tn4LVXhriWjgJkma96Ny04A\ndtds05vskmGBlfGcmqvbbumbNc3uurqJh64PQoT+pI3BZbfpUc6F2m1uwphc+4BMetO8MbOxWgjP\nicuwgiRxHttSaYkPVTOezhmTF9Z4JyajyV4+HEhTZIxpTPNu7oNqayh7k8470QjFupHLKN+W2trc\niF7kKQdiNCNdmt1ibp6qIN/uxW0FPbdkyxM4OfwlR1PKSXOlKczNkIXEFvL8JygKsms3sHQ4Ubqo\nFqXla9ess/UtR1viWKQZl6bKGC/qVvShQzSRFTZiH/q1gyLzwNoJ4eRU9Z6XIG9KNmip7icy9yJM\nS6TlhWeg42wRObliAqh7EjkV2rovj7Ydh8OlQLF0ySG906yx8uTc35Wt4NIPwoLbCh4u+k5jXxoL\neGAvuuvU/qcUcBAY152m3dck9p4mDU6cmE7ZDaLj3skyKhZhvg/UYHhjyOsr9VBP5pLL8MluRD94\n21AqiTtrhizdTNwHzyTQGRZk3Sg0C55l8KAnx7wzzRhh1J1q+I966D5viMNpJhnKZr8aBT7oLvK9\nubGWvcElysprdHvY9l9j1R3urfFBlALmGpBtQ8wJ2ALp8qS3K2VLi7AMyoe+CjPoh9pKLtimFwWO\nbx89SDamLlnTW3dVwL3LTdKtEa5ZsLta1LsxYy0dtrfc+u9iy3zUSmbIrTX2HPgWOkBj6QVV7Qpm\nSeXetMtrqhFKSevaHa4ePJ+yFkYE4zi4PYsnKsvmpvmbJFeVQh2qdG+snCR9t4DF1aXVstKMsrfB\ncLF+RzrTjTOTxxRUvHowFmRPLnSo0DW2PeZm0C8O3YgKrmNwzuLA6Oa4yxyB6/d76M6MRjiKgKEY\nTe68uRS26EMvn+2E4ofWVDlV52bFqxc6QNtqhAdnahewKjWL7g1qoqdIKQjNnRaJteLijeklVGQL\nekCzg9vT0uY6Aq/CXDFKXuo8CsUjidXuRINLa6y5uI6D1tT+uvtuRcFDETq+n/1z7Q6wsaE6TUyG\nkIY7facbH0PR4CVuKz522i+66Hrn6YRLK47upC/aHCoaCqWoUFB9uzoX01x7iW4CzMxBmA5HLbUO\n/e4mE1E8AwNVehVYNHofZE2aqfNsoX2MRl7FLU5GNzKvlMfONkzKdxrK/eIrGYOIRXO9oxNjrBuX\nQ3FOnSCaqtU2OooukgPMSM7u+CzO1ve7n9wY2tFYUtFZuw29q5l6bsMLB1HFxXVJmJ3UHORVjsaI\nwHryhGs0aEUz6fFbdibBUY3YOl6FAyydHb3RTvAmS/01ZcAx+7HHC+9vA66CXAS5K79FkUQGEScW\nk4EOWqW9ChJzVwgUsJYSZCtCTNVS1Ezfvf65f9lCbfjX/qu/mKfXr2m2SDbwwxretETY/rFd7drm\ntG4WaRWRnYik1cLDAFW8HUmiajRadrnHUumgoCo2Q3lgSvMtblOH71rFOZN3p3Kg5gwiprSvZ3Gm\n8INrGoHIQxlJzGBFY54nGSV27XMRUxbnSH0FvkHQ4ygeX1xwKx4ucNmpujM13zwDzpWcJYxltaur\nJwAAIABJREFUlBCXZ6glcorbqWu8YbRWvLg2Ln0KoGdC3/VoXMwpb1qeRSPSOazxOOCt0Xg5jBdX\neHHVbPrSNW+2U1yJS1Pg4RjBGEPPy10bjRi5vYcskn0ybMn1hoIxW3ceL851JJe+geWo+rUqYkEt\nOEMR7JCMgsvuJB7QIew0yiGbljTHKI6uxIlMAZGwrrk7Cr6slMc/StV465JjsTsALXklOWpVrEgx\nLPwicUJI6yrgeUlnXJBlzDiJTEmZomGBpHZm0JxqOgDaatgZ0lZv/6jPpbmMTQFaCh42w6EwbHXi\nECbGhtIjautc01U4HA3Kd6oySVVoHOI6cM0Fwr/PqdsFVYIpLWqnK6apoLHn4r7IJkMKvXG5djIP\nJSWEigHvnaOKi/le/rZd3CRtOH0cXC+dFjf6cTCtMbxx9KEuqkk22mxoQT+Tsg6nlEdukDkYBUfc\ntlFC54Z1U8TRUHTOzEmxYCwai7kcUpbv0XU+ZSbDDxUxtXalpfPANzOiece8cYvJeS4pGRYad4Ti\nkCI1IomCk/15/Bj/vX9GWgYzd8LBlvmIeiTpz3tVoNqozIRMYofF4UuTrNBQG7RJLFRJUBri9+pk\nNT7zTvDD3/Mn+Nqv+InM88bD5SV/6i//AK9fP2s84YcifNYmtsciPfFUpRxV2kKWayNqBY5mwj1I\nM44EP4pqatF8QXjRmzNX7QG+XrQz5ESaXhDQ00mXcqJKvu47K7TYjjCXCH2m7ayySTfndk58dDr2\nBup8S81hX6ciTdbNwRcvrJitcy5t1hNjTc3jCiOnDqFoME8dACdGnEU/Bm5Ft8XD8D0Pb8xKDpRM\nZ0dRmyrVz4Z5cBzGtRmHC1SSlm9if5zklluWhRxMo+vF9YR5735u0kE/xya4eXBQnNF5uifabkPM\nozUmwWW74pIkfRA5ZQnNYp2LYRpV9cM5UErs0tifYzUWi36XBZYUBZWN65ic6Zy5MLugINGihxEO\nZy7tBEBjMRkHObNztFI0TQy8F8u1ZXGbzGU8uJNxw6pxjHuc0oLqrKWZobPHcAQ1wVtiOWl1yHHW\nlGTNQuYNh2p3uH7nYsVTJr0ZZ0yuzfZhBsEBJ9xa0V1WkIpO1TMxDfcLKxbN2SGWu3rettvmgBWj\nd+apBa6NXSjkibfFyqbv2S6cbTGqeMZhnf8/ae8aq2u33nX9rmsc7ueZa71v96aVWsTaagO0xCKR\n4gEocggRAY2CnOIXTTxEYiJ+wChG1JjgIZpojUGEDwRMJUpSowFiQAIE5aS0YCHFUmppN1XY3ae1\n1nzue4xxXX74j7neXWn7EvZMdnb2fte75jOf+dxjXIf///cX63YZ04OolaMY3QbH0bRrGE4UpUMc\ntmPTbRIk91vfz/0gi5xxsfTsZGppvlbhbpq6Y9K6z42DnQXSDo6VfGFX7BHgR2c+pkxN7lh0ZbVh\nPFXTRV8EcSp0skjB7lbxGTxQika7FPj52lU7n6FcxmUFn5I+Zui5f4H2ZDrnqUj7x8doxj720I1d\nHSnfPYghUbSWTImFY0NRNyylebZaNxpu2zSLb+viPnj3Es4NzAqYpGnVjE+8bvxDP/eX87/94f9O\ne9x8w8/4Sa9wg//lj38v9ekT5JLUpXlhVbbleINfhlwirI2dzCSispqE6ap7xQAAzf1KJldBDyQv\nM2DjkYUxBhkNSxkxVmheHTOwwhakq+WfTFoWmLnlSbGjg4JlBqm3e6QkSYL9BJPgVam8WRf37jDg\nba08HksLsmmsKlLXoLK2CaMV4zxdGk1Mpo4CrUx6cbo1rLtE+2Z0pMjIbLzbNm6uRW+6CIsFr/pd\nsGaXhnSGc12Tx1jMNSGddQz60MJmEZwBR2tKiGjySJmZDrVVefZKYdFbpdgmp11ygc2HDo7DVYlQ\nLiwLNxek5umpbv1nMIdxNVg+cFM6wXKX1jcXa0jm5DVYJ0rFzca9bUWNxInvK+pigXFjxSmN8rW4\nbOIoyFTZb0FSqTtQMTPwTK5rSaPq2tTbTNwryyozTq4LWdrdcZviSGTRgsq2vDAkV5TQruBRWCS3\nAhmDi4pFZdgpPOMEy8lZqzS2bhx+ygFpycygrsYoRmdRrMgY0MeWGFaWBzXVtY5ctAF5hFQpMcna\nKb6jf0jSFtGgRyJxRdBKZ0aw6qJm4fCt3shGctGqjEtp9b3i59hOTqzQanKNVEJELswqpSzqdlSO\nXNwsOA1epSJwlofCYCM5s9JZPCN4zpUmvXxBcrjq27AgK3wr4mIo2WExKawIWsiFKThPxUzLNeV2\nGmcv+AqCIumi6fthwd2MbM7Mgi29NvP5Hqz0Y319rA34z37PW2omYybRXO15OJhYqDEXF1q4jU2l\nIpXgO07pPs0HJcCsgw0MY2Sl2OCF1K+Mof3GZvKPfNPXkuPTfOJDwaQ/81kxHrwU/sx3fZZTmDKp\nI0xWVJHIDGNxhpZW6ca9NswXtVaOajuyI2mtcGxWwFbFSAvp8JgwT1U7M6tWP6nKz0ui8Ec5cl5K\nJMO3YqIwl+JslIUGzbXdB40SLDcbzLSoWyt5TBHVHu8Wj8fkM4/Fm0sz9cdaPGbhikXDtH3OZAI2\npD10kg+eGl7gVgswqWkyhxTF9YBmxOYm2E0sjtooVikOrRbuh5CAscQzOE/neYgGda3k+VLu3NwL\nRoB7VfeDi7Ur9oMWUIcZpSetKvJ+XMa7K3nOoYt1yVxgNfjwqLzqssuOnKyh38vzhMcjwaTeWGpg\nuEIxSKA4KW+LGNJAx4LaG2tMXYrLWGYadaXmlHQBhNbetEvSVVll0EqFWCokvDFHwctFrc6cqWSC\n3SKvNXZ8kRNTVCxV7lPUOGtiebB4Xovwwrp0KZdqO71k6HOllRhmuQX6IvCZq+0Pn1Q6xNyZYoaF\nkzWwWbYpSJHo1yUjwcwiBUOT0WmhxBRSyqNZgDXw9A1gb7owfArL2RpxDmY1chilOzUn/ah7DBN4\nGrVrNqu9A1CStopASFWmlRWTtZwbcKKFeq9Qwlno8F2mjsRrYezUuDWCuZJRgaUD+HGpo7hybZ2u\nkJutCIhTkHOtV7h38bfvpYMFH96cpy6nWmlOtYa1yZq6rI5eocjRebdC7ZVW4cjQ/qdqfNKrlBz1\n0BK7efLTv+7pb90G7Gy8Wy/UDMaLV3tvYKkmnmzktlXqAClh+E1zy2RvDkk8VT2wo9DTZb/06mQM\nMm8kyR/8k9/Fz//pP54f+vyDT3zY+bIPOo/HRRD8tK/7kK/52q/jv/99f4KkENFU6WbuGe0GdptT\nQ3SlF+7rizY4XZvThTaspRhzyuEUMykL1hQzInf+RkQjCV06aXsgXnfgplER9crM5MJbAMF9b3Vz\nU5N8S93wyULz50Ra0klyrcnzKlQm3eGxkucLrktM0USxNmPnZdUwrBmfqIVajFY3Z8DBirqOuWeY\nQtU5xQurwOsGWsRAKclTdYqsY3hZwvHdFr0ab6Zh18D94DxP0uDwIrNKNNqxXYC1SiJlDdiAG6SA\nyDC8TAFNFtiAcxOjPnGrvO6ihtVM+nKWB1csHTZNlpSVS+OPnenWi7GoxLjYRSuYIus9xRNYRchM\nT40ecBUEoZU51RCI3wPqoKqtkboi2OQwMWrnZWTR55lhhJ8sE/QmLLCEx7rUeg5jFh2kRw2ZV1Dx\nwn7rsRDJKhM4yegfGWfslLOQOxFDsJe5BPEvC4tOiQtzjcKqVea4pOE9TZZrl4XfrGOAZ+jfZ8+Y\nh+b/pKpPTO6qZro8vTpYKL/PknY4YwxKO7Q3bdK9m8nM4MVpU79TN7BmPEhaBFml346lC/tI6eUj\nlWemgMgbKwZWG2VD1XPoM7kyiUuL0RVKZjmXFtTnDDkFfQnHiTNWah8SHffg1irXWtyqM1mMVfBq\nzLVNLmtto1PhPC+xMKpukCff1W6Xoaa8OFSRp6CEkj2Ggv9+1K+PPXQLLiNAwmkOHnsLr5YmrFFY\nlKIFjzMp3hQDI7W9KlCSZBDecNASZ8+9cFXKYoXtsEjr/OE/92m++Rs/yWc/f9GbcRyFDz78kOu6\n+MwPfT/f9PVfwZ/5i59mXNs2avb+lq+1YpGUVrGU/rJ57uwn6LmBHKkD9zyH3DKbQTABasWmMpZW\niPkba0N2XDNVd8MH4KnZt8tdV4FV9jw1BRAxhJiYM7djy8kV+/vL7z7OkJaF91RT3p7wGJIBjriw\nrKwhL3s3SbmOarSaHA7NDCt77jnUyjarRAGsUD0pocFedBkTshXqy4jGXtIyXnSfDbfJsWT8IALu\nnXouzdIdSpG1UmGdjSsG8+XgQZdchj4HbJXBKzvIsvjAjVqMp1bfp0KPveAMdFHVNrl78G4ZFpU5\nB+TgjCL3mS98OiNUndUCiXNdgZm0pBqTBTiUUPDjSmXoBcZyAavdnItFyc0HNsNcgu1ai4wm68Io\nWzEgLfgw6bltjzw8TeOPzfkYW+puK4UfDVWta+3U4JFkuRM2sGiKnTJFDIWfcmohS29J8LyxcuKt\nEnNxkJw29Jm0xWzCRJa5R4OmgmGli+ewKnUHUboZ1o+tLQ96yh2o9IvQ6KI4zRVm0GqjZFI39S73\n/eFMepGJoqHlZITAObHlpcuArkslp5bqZYjH4bUwbG6EwJI703Qxrqmzoic8Qg6/sYqeKV9Ua8zz\nxKss1udWkrTWGOMkrxcVTWo52Cq9LCJl/y8UiINpExOvgDmDZrmRqYHROZE2upjAOqBO/Vw6S6D/\nmGfqx6oXzFKLr1q4mfHKnBs7TscdY703HLTqmPX9i9AbbhQlvZpcZ0LnmQ67attF9DKM3hB02EqE\nzv/wB/8CGFwjefN28Zkf+gytdF6/utO780/8wr9P2ssug0Otu8JhcjSnN804j2paxhSoTei11j7S\n52YCW3u8Nm0fBNHuRR+yNN/LwJ2Y4dsJ1JQ/1VzxI8XFHTArNFNbXVkaJbAz2MzEsX2xQxelLFia\nIuq3XfrtcGIZcznn6ayz8uaxFSCZHIdT7522K84XxyANejPurxqvPrzzdHdeHYXDEu8mwX0T1KR6\n0nbqQXFpbM3XPlRyVzpGL52jCylZclGa0Y6geXD0m5IgRkLObe18WW7KaGC8wG8kyzFftGbcuvPU\nZVG9huKL5gzOOVgzOSeKRkJto9mgNseicGO7xqa02qXEe8kWIbne2hrtJSyq7Luo0k1zSi1Aofj+\n83PRSiFcmENbtt1lznzW+KpW6V3dKzlzL3KdEkWd2wSzRfFkWbKai5IWgRXfrsYlI8o28zwsWCik\nVZ2gcytJb0a1ThYFUTZ2xD0XpYYOCEedTWiuiZXt7AMrG7JpjlMVvz636uGFVdKCkrmLhE74JNYE\nRBI8XIuwuo+MAtSekkzWirlxy0IxbU4So5ZK97W5FlKlNIejGsfNadXwbko4rsmOKCSGwVBixDWC\nuJJ5CZt6pnMhu/4ZggKFKYSgNikryq6CoWBz8O7NidHE6riCNStXVOaMDamCfPk9MbkD1icVXSpz\npJb4JiVIhp49y2TMxZpDgKXNlrB8ge7+yF8fP17wBmts5cI+Xw3uAZBclpQsW1erNxcXas1CeUYn\nAomU7VBTqeGYDWUiWSKG08D2lrXWitXFj//Kv4vj9iHn8+c1h62N2gpPr554++7kr37qU5DIGrsF\n32mFViphptt5H7C97oXRdnS9tyG/fL99+HqIeuUlOZdUG7mCbsEwtaYTvcnEIeVCasuqD2UQ66U9\nDMXhgETxuVgmqZJmMTpsxzh5vuBz7xZv3059wGLxPJzna+6N+GQsVfNXBN2cMdY+xKQ31vLGOIps\nksVkzPBbIZZzP9RuBU6uubWoWmS02qQ/bCL0S5VSpR9NwJJ7cfKQaE9V5JZt+Z4remqBZi8TNrUx\nMszoAF4pxF8NsWZn+pYisoP+xIIIpAkmEQTFCgwXoJ0gu+y+uONTY4hlZc8quyR8sd4D3a0IlrSW\nuqKjVEadxPLtStqZbVWHohus6qQHx8aMhi8pVHIbhzaRK8wJLszVCUXtWAzClSZgy/Sel82ZKOBz\nM0iwbQ7SxT/RzH8V6VojNS4yyw1JEv4Rc2IYWS/Asdko9mBhxKyYuWy2WUgzgkkpJ7EK6TcK13uw\nVA7jqiEOSZUTszT9HRjcSohxsKvfyouRSJLNtsdaYlc3irO7BBG7bAO/zcC+SEv/AmIaJeVQCycd\nVixsOoXGsy3mGryPkU8BbEopYqVQNOKzgYdxIT10LRdRi3gvoT3GFcE1LiKd6oU3e0x4xNr8Bc2f\n11mgOCOnPIQB83LKUclrkE0Oz5qIlEnwWEg//jG17Mc70uxShAqgtf2WahUh2o4lqE1itBRgCZyB\nkkWDoIVE6iW2NcjlFJI9T7+UxaSyMA5RgLYwvdjiX/i3fgvf8ht/rdqw0nn9qhORtN75Vb/snyQ2\nJ8HdibldW6XQ9nC/UYg9V2TjIX1X1LFtmq3pE/ECIJmYEHQ6OQW436kWCoAQywCbqpuKUycsS40o\nXLGHmdp42x6nTCRzcy+yVeZuu6ZznSfPZ/CF8+QxOo9IhVtOycvW/jmkXAgJyzNwhKtzl/kDoJUl\njSH6VMQSh0IIR2jNoKnl9prc/CCKIC+ZxhWnEgZCr3/scYfjPNVg4NwcubFSEBpDQHLFBuz5rUvm\ns5YR82Wer3h764W5Ll7ur+ZOTul13+YgrsKVL6MAU0IFcqMFi2tC2646HFpJiaodwm0vaW/Mpdia\nWpKYg0SLz7kG3Qqnb3VJvMgYpdBxS9aa3MwFq6du5u7QjNddi+GtchCcSQcRMXdHoGdnhm/trP75\nmlr+MS+GFylr1k6GAAa6MGMuWlliQ4QKAdjKgrUY3vHVWNW41QHRsbiotTDms5gLBL1UufVSDOnD\nYKwqRrDVHbqqBdGyAG/6fpvTPJaquMuT7sGkYBP8iM2w1kivmknaxZZELs1DM5RPVtxpppGNmw7f\n6bF/x86aMLejTKlHSRtincTSAeepWfSMqc8ZKvzAme1i26dYIUZHLcpwywyWT+7zxrLJmzM4V93p\n304JmCzmlCLJUkPPLeQlatWOqhh5wSqK7eorCR8Ur5wXXzrwJsz2SKAQcb2PoCH2bVWcsnTrTX+B\nd6t9jD1Jb6kPkZQ6AbahBZaQAwzKMkoru9RsVNNgu9rkn/lnfw3f8ht/LbUWXn34Aa3e+eCDO89n\n8J3f+Z3oyDeuJQgHcWxLL3q4DOH8qJKyqGwDFwEtbb+U/f+/RN9II6jytzVVcXUvHGIl08u2Wqbm\nc7wcuI6XpbwykhbJyKHDCPblANfmDqxMnkfwmHDO5BGFL4yLiMqY2vSaArjUuiXkBvfUJn1jcRjX\nYrnmVhmVQKhJS1UOmbvl3OqNF1eVm4y5pFrrtZwxX5Jv9wcOaJtpa2bcTDzbK0JJIYQA3UsMihVI\nv5yFmVq+qVKsOjxNDOJuB17XvgADb5U3l4hh51ycS4d4JhwVdUI1iFFUVSckslvnNt0kCbFRonFh\npXG8dGnb8D8DbBYetmfRpoPE04ky6abXU9JYpWJzij+xbdGlyH0ZJuux9cl9Z/5lpjbb66T7xOLg\nzc0pa1fLYZAT66r6IjrYpIQ+c0alL2NZUMuxcRj6vRdTxpdtbXDzSyDxDMYqyjvjYK3gqJVrQeua\nR64N/qkczBzYtl1Xk0OuuGzSaYrgKltqtUKQeF4MTRngaztORaG7FyeqiITWZNgpq3GupcQRM128\nqOvyTYCrW29tYVyXKvuKy05fC3Mtwpy5tHgfK4lrM0NKwVK6eGPhIVToYyZ25f4ziyXPK8uMuo4d\neSUjl6/FY0CvCNO4lOrCWpQiIJJm3s55JasvjkzcGqCF7hUNr5VjJmNNpo8v7dDV7E2Hoztkqn3y\nEsQKWlaeXXZQebJVAMzUocDU3OhIaXwi5Bqbe5arB2rtysLBh6yXE3qDXIW+tU4RwY/7sg/55Jd/\nBZ/93Bf4vu/7Ab7v+76fn/1TPwEvBynJ//5dP8Tz0GxqhRZoMhgMfFdhIPXC3oFQfNuUHVVIqMUt\nW4P7ciivKelXotngJWcFsWTyiLoD/IYWcp6QxelRGRmb14rQhQHPkVxn8PnH4N05eUzN6A4TW4A0\nsgRXqKKtZkrVqNJ4FhcS0MJ2PMbCaeCJFxHBZqjq8F1pHE1QnFJ0YZQp3vG187WuJSbqcCOWDmvc\nmCu4Ff3vax9KLRYqYNWmLddoAltYhcxBNfFesxpmU87Ajft0AkyMDsy4xsWcizUKa/mOavpo9BAE\ndb8e2+kNsiurEo9sJBMCjXH8gceguPYQNoUfdSpnLvEFqkZBBdNrjsIj92e/IlLdnlOCcsNW3eD3\ncLLsKKnM9zlgRuEn2vdwfP6P8PyFv8bx2R/ic89Jef0N1K/5JZztK1nDWRb0nHp/M+l2J8sibDHt\n4LCpUcpZuMqUUsWMjEktTe9JBXOj5mJmaDyW0i7X1oiZ+vPH9oDaReKKkfKtmd+VaSGxHNqtbJJg\nefldV1MIJdsWXqQVv9VKawKPX8JEMKNrlBTSW7OMrNAogpaUQjX56F/2F3ZoRPhY2v0s+MiGniIF\nZmhB7Vv3H2nkFMDHXN6AI53Rg6oznIihRfsYRGtUd1rVOYQVHpd+/lWkxCD28tWKLmKk0XeXFC4o\nWBn7+NQ/vc7JLIZ7475HKX/Lh65h+2bTLzJRRpJW6wZp3PI9HU0Jv/tWtExKE9BYuWDg3gmTHe9l\nm2wBrWxWb/rW0QKk6Em7RXv9+jXf/Zf/Cu++8//ih+uL8/1/f8M3fD2f/cHv5f4VPwV35+jQTe1+\nSVV2LxVw2oZ2m9IUVOVu3/U+5C10Kcgxtb3/ob36Mh3PsIlkWTHWTilwLWquha3GZYFtI4Vswsnz\nCuZwfujd4t3z4u21mMN5pDGYzFWY6wSgmzz5L3BvxYPIYTafE3pyL5XWnMM1IVcUvUIBvQjdWGuV\n/Md4D2OfmbDHGHMmV+gSKduNKJiPYzWZcWkxuBT7vrD9kOn9KyWVJbbBO6UUWLktuUYrL2Ojl/cy\nILX4WLF4eyp257wmp2mdELnHVVPv9wWE1ilq1XWVamQyJ3M+SKtMS1pUijJ16EXdBdGZocj4M6EF\nZMiJiIk3YXsjXcr+PJoMPJ4N/KFQ0JLUCFZ9+fwtiAp+YAE/UL6O3/ctv5LPfP6z9FZobrx6/T9z\nu/+XjMv48q/6Zr7hV//HAsWsye128HwGTaQcOvrcJYVZFy0aVkUka1bANdoqBZIhVnQeLE6aF+aU\n2aLWrQsPNf2WBYtglaTg1CZgTjUnmLgJPp+uMUBqToKHc7Tkg9qVd1acXiWFA2dmhzVkVY+LCOMx\nEUehJEdxmssCv/lqpA1eFeNB4d0juDK5JVy+5/7mXCtwl2C7UKQUYuGxRy5VGnQzaDRWD8qSEcZ3\n4gXsJSFK+ZhXUfbd0jjBreBId+A+8QpnJmUNMgsxBfkpDc4SvLZtdArIqTFM+kvn+DFn6sdmpH3q\nWcP+PXMBhePhkMOJWMyydX4rVA1Wp8zBZb4PLeWoycKqDfY+Unk5ttLk/PgFP+cf4N3nPsVP+qnf\nyPl8Ukvnu//id5Dnp/dG8kd5rRj/7r/3G/lFv/I3ELNTqqA4r1/pIOoop8ld5LLY3N5cYm2u0Gjg\nxaxw7l9ihu38Jpk/it6XLU3TeGAgW3JIRcZKxX68JO1mgkVh2SLn4jk0enwM43wMPvO4OB8X76Zz\nzeDtEuloRjCHDimq7tw59dM2h+MwnoqUILXA6558cGu8vhcpTmxX8OjDW0rnJS6ytr0HTINIpi/y\nFEh9TrEJzgXW5H5jVmpPWug9fFF9RCzGdN6N/blgTxxTI4a1K1BC7eWyQa9FD48lM4SnHKtwXoM3\ny7kewbsho0gu2yMEHRjd4Ixt+XWn5oYHMWnlAC5dbGYQheoTi4a3jZBcjZnBeSZLgmnNg0PZD2GA\ni//7VIyFMscCLTHLzv3KbW4prtSS6YLXp0kjXqLhvVBq8HPu38b16e/lL33Pd/Hpv/4pvuMv/GW+\n+3s/zee/oN/Fz/5X/iRf+dVfrsSU7JrLHeqyoOwOU11Y2RddqdJcaz+ZjFxYLdiU7dVrxXJgw8m2\ntcyhD2N1J9J3EkzQmlNtUEvZmnVpoNOXXIah2X3rzgebl1EphE0cjRmuTCVO51I67wjehWFDuXHL\npSEfFtyKZtitwa1pqPf2UbiuZ0Wxr+RK2c/nHB91lkuUubWJeRmbG4zkn4ONukTP4DlVBYfl+yU7\npkrc92XiJQlPDqscNelds3Tfypq+x0232jl88ap1KJUPDp0vDlAGrSgUs1YVG7/0m15/CeaIlzmt\nqcFKU9CiT6fsZU4zkcHGjjIvGLNUtRS5H0bbOVXoh8Y2hnDHrFSc5Y3P/9VvJ4Hv/FN/4P9/AfyY\nr/N3/M7fxtd/06/Wzd7Epe1H4V4k5WoNSde2rdBTg/kRcIbcLxeqCBXQqHGz7zHIfMHUoQdghnKd\ncq/DtSyrW1dq+8HX4RXDeDCZk/fOucccPC/nvOTLXyE9Y4RzuNFaZT0m3jU28XZwrsQZOnhdS5rq\nSa/GUZwPb87rp0Jv2/lnmmu6HbBUH5Yq67EvzURfmoQYL7QqLaEk4w3WqtwcrpowFrkdfUeXFDBC\nOt/e1YrOqKwxsFqYF1wrucbgDDmnXkD4gJaMywnflzcQ18W5KW7kIkqTpMiFrpxI8D+WKZgxjHar\n5KWDGTdqmvgbV0ijXeXqE4hdRgsvgh+tXNioYtWaEn5tFpovZkBYh7xwCt0Kc7/+smePM4K5gfpp\nQJxyVtl4z2L+E+cv5Mf9P/8hYZ03p/OD/+8bPv8Fzf2S5I9+y8/k1/wn36s0D1+kFapVzrw4dhEg\nfW1oU21s2FPlXBdKyi2UpZSLVqQv9tScVZfErlynZuWtGqxL4KeEfuv0TJaphb7vTjCmk61x80mp\nhVc1uVVdchbCjS5sA4pkGlhzsgxuLv33u2Bb2A1jciIHGFv1VBJetcm9HkQmb+ZijtDby4H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jM4ecVrlmsct5pxW7EDKbXU7W3H9VT2nF3K6hHKHrvcaKYst1LK/rwHzRXh7g61Lj7onccGx5eq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kSWkhcJ560T1e/+P/BEVkx/xQTW/6SFjo31pKxY5F55rrQQ1rpAqpCENYsyRv946FJ+4t3L2C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cvHN1chXzxa5lJBAm63IfvjboOgjMVuMXV9tnwifvY//U/xDX/y/+Lnf9n7+Mqv/k/4tn/+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\n0QjyGGTDRvJVlUhOqOHDRy/5wgSuHI20eM8V3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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import scipy.ndimage\n", + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import numpy\n", + "\n", + "\n", + "def plotImage(image, cmap='gray'):\n", + " birdsPlot = plt.imshow(image, cmap=cmap)\n", + " birdsPlot.axes.get_xaxis().set_visible(False)\n", + " birdsPlot.axes.get_yaxis().set_visible(False)\n", + " plt.show()\n", + "\n", + "birdsOriginal = scipy.ndimage.imread(\"images/birds.jpg\")\n", + "\n", + "print(\"Original image:\")\n", + "plotImage(birdsOriginal)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Binary image:\n" + ] + }, + { + "data": { + "image/png": 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6dEjbsqJMfi+++KLrPL18/vnnxt9/RnyHV16lpwtPmW1DZ2/zjTfekHfeeafbNB3L99oP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\nkXQBQKP/AwtvTcpUtjvBAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "birdsColorMap = birdsOriginal < [100,100,100]\n", + "\n", + "r,g,b = birdsColorMap.T\n", + "\n", + "# Hack: Using the green channel, because in this particular image, when inverted, \n", + "# pixels with full green would mean it's a white pixel.\n", + "\n", + "binaryBirds = g.T\n", + "print(\"Binary image:\")\n", + "plotImage(binaryBirds)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# I've chosen a disk-type structuring element so as to avoid birds' wings reaching out and touching others on dilation\n", + "struct = [[0, 0, 1, 1, 1, 0, 0],\n", + " [0, 1, 1, 1, 1, 1, 0],\n", + " [1, 1, 1, 1, 1, 1, 1],\n", + " [1, 1, 1, 1, 1, 1, 1],\n", + " [1, 1, 1, 1, 1, 1, 1],\n", + " [0, 1, 1, 1, 1, 1, 0],\n", + " [0, 0, 1, 1, 1, 0, 0]]\n", + "\n", + "\n", + "birdsImage = binaryBirds\n", + "\n", + "# Two erosions and two dilations to get rid of noise, and isolate bird structures.\n", + "birdsImage = scipy.ndimage.binary_erosion(birdsImage, struct, iterations=2).astype(birdsImage.dtype)\n", + "birdsImage = scipy.ndimage.binary_dilation(birdsImage, struct, iterations=2).astype(birdsImage.dtype)\n", + "\n", + "plotImage(birdsImage)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "18 birds have been detected.\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "labeled_array, num_features = scipy.ndimage.label(birdsImage)\n", + "\n", + "print(\"%d birds have been detected.\" % num_features)\n", + "\n", + "# Plotting with a colorful color-map so as to demonstrate the contiguous areas detected\n", + "plotImage(labeled_array, 'Paired')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "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": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/samples/MAXScript/macro-1.mcr b/samples/MAXScript/macro-1.mcr new file mode 100644 index 00000000..fff41b51 --- /dev/null +++ b/samples/MAXScript/macro-1.mcr @@ -0,0 +1,29 @@ +-- Taken from an example from Autodesk's MAXScript reference: +-- http://help.autodesk.com/view/3DSMAX/2016/ENU/?guid=__files_GUID_84E24969_C175_4389_B9A6_3B2699B66785_htm + +macroscript MoveToSurface + category: "HowTo" +( + fn g_filter o = superclassof o == Geometryclass + fn find_intersection z_node node_to_z = ( + local testRay = ray node_to_z.pos [0,0,-1] + local nodeMaxZ = z_node.max.z + testRay.pos.z = nodeMaxZ + 0.0001 * abs nodeMaxZ + intersectRay z_node testRay + ) + + on isEnabled return selection.count > 0 + + on Execute do ( + target_mesh = pickObject message:"Pick Target Surface:" filter:g_filter + + if isValidNode target_mesh then ( + undo "MoveToSurface" on ( + for i in selection do ( + int_point = find_intersection target_mesh i + if int_point != undefined then i.pos = int_point.pos + )--end i loop + )--end undo + )--end if + )--end execute +)--end script diff --git a/samples/MAXScript/macro-2.mcr b/samples/MAXScript/macro-2.mcr new file mode 100644 index 00000000..e0a897cf --- /dev/null +++ b/samples/MAXScript/macro-2.mcr @@ -0,0 +1,53 @@ +-- Taken from an example from Autodesk's MAXScript reference: +-- http://help.autodesk.com/view/3DSMAX/2016/ENU/?guid=__files_GUID_0876DF46_FAA3_4131_838D_5739A67FF2C1_htm + +macroscript FreeSpline category:"HowTo" tooltip:"FreeSpline" ( +local old_pos +local new_spline +local second_knot_set + +fn get_mouse_pos pen_pos old_pen_pos = ( + if old_pos == undefined then old_pos = old_pen_pos + if distance pen_pos old_pos > 10 then + ( + if second_knot_set then + addKnot new_spline 1 #smooth #curve pen_pos + else + ( + setKnotPoint new_spline 1 2 pen_pos + second_knot_set = true + ) + old_pos = pen_pos + updateShape new_spline + )-- end if +)-- end fn + +fn draw_new_line old_pen_pos = ( + pickPoint mouseMoveCallback:#(get_mouse_pos,old_pen_pos) +) + +undo"Free Spline"on( + new_spline = splineShape () + old_pen_pos = pickPoint () + + if old_pen_pos == #RightClick then + delete new_spline + else + ( + select new_spline + new_spline.pos = old_pen_pos + addNewSpline new_spline + addKnot new_spline 1 #smooth #curve old_pen_pos + addKnot new_spline 1 #smooth #curve old_pen_pos + second_knot_set = false + draw_new_line old_pen_pos + q = querybox "Close Spline?" title:"Free Spline" + if q then + ( + close new_spline 1 + updateshape new_spline + ) + select new_spline + )--end else +)--end undo +)--end script diff --git a/samples/MAXScript/svg-renderer.ms b/samples/MAXScript/svg-renderer.ms new file mode 100644 index 00000000..872334fe --- /dev/null +++ b/samples/MAXScript/svg-renderer.ms @@ -0,0 +1,64 @@ +-- Taken from a 3-part tutorial from Autodesk's MAXScript reference +-- Source: http://help.autodesk.com/view/3DSMAX/2016/ENU/?guid=__files_GUID_6B5EDC11_A154_4AA7_A972_A11AC36949E9_htm + +fn ColourToHex col = ( + local theComponents = #(bit.intAsHex col.r, bit.intAsHex col.g, bit.intAsHex col.b) + local theValue = "#" + for i in theComponents do + theValue += (if i.count == 1 then "0" else "") + i + theValue +) + +local st = timestamp() +local theFileName = (getDir #userscripts + "\\PolygonRendering3.svg") +local theSVGfile = createFile theFileName +format "\n" to:theSVGfile + +local theViewTM = viewport.getTM() +theViewTM.row4 = [0,0,0] + +local theViewTM2 = viewport.getTM() +local theViewSize = getViewSize() +local theViewScale = getViewSize() +theViewScale.x /= 1024.0 +theViewScale.y /= 1024.0 + +local theStrokeThickness = 3 + +gw.setTransform (matrix3 1) +for o in Geometry where not o.isHiddenInVpt and classof o != TargetObject do ( + local theStrokeColour = white + local theFillColour = o.wirecolor + + local theMesh = snapshotAsMesh o + for f = 1 to theMesh.numfaces do ( + local theNormal = normalize (getFaceNormal theMesh f) + + if (theNormal*theViewTM).z > 0 do + ( + local theFace = getFace theMesh f + local v1 = gw.transPoint (getVert theMesh theFace.x) + local v2 = gw.transPoint (getVert theMesh theFace.y) + local v3 = gw.transPoint (getVert theMesh theFace.z) + + v1.x /= theViewScale.x + v1.y /= theViewScale.y + v2.x /= theViewScale.x + v2.y /= theViewScale.y + v3.x /= theViewScale.x + v3.y /= theViewScale.y + + format "\t\n" (ColourToHex theStrokeColour) (ColourToHex theFillColour) theStrokeThickness to:theSVGfile + )--end if normal positive + )--end f loop +)--end o loop + +format "\n" to:theSVGfile +close theSVGfile +local theSVGMap = VectorMap vectorFile:theFileName alphasource:0 +local theBitmap = bitmap theViewSize.x theViewSize.y +renderMap theSVGMap into:theBitmap filter:true +display theBitmap +format "Render Time: % sec.\n" ((timestamp()-st)/1000.0) diff --git a/samples/MAXScript/volume-calc.ms b/samples/MAXScript/volume-calc.ms new file mode 100644 index 00000000..5e84e341 --- /dev/null +++ b/samples/MAXScript/volume-calc.ms @@ -0,0 +1,22 @@ +fn CalculateVolumeAndCentreOfMass obj = +( + local Volume= 0.0 + local Centre= [0.0, 0.0, 0.0] + local theMesh = snapshotasmesh obj + local numFaces = theMesh.numfaces + for i = 1 to numFaces do + ( + local Face= getFace theMesh i + local vert2 = getVert theMesh Face.z + local vert1 = getVert theMesh Face.y + local vert0 = getVert theMesh Face.x + local dV = Dot (Cross (vert1 - vert0) (vert2 - vert0)) vert0 + Volume+= dV + Centre+= (vert0 + vert1 + vert2) * dV + ) + delete theMesh + Volume /= 6 + Centre /= 24 + Centre /= Volume + #(Volume,Centre) +) diff --git a/samples/Mathematica/TestArithmetic.mt b/samples/Mathematica/TestArithmetic.mt new file mode 100644 index 00000000..40cbe122 --- /dev/null +++ b/samples/Mathematica/TestArithmetic.mt @@ -0,0 +1 @@ +Test[1 + 2, 3, TestID -> "One plus two"] diff --git a/samples/Mathematica/TestString.mt b/samples/Mathematica/TestString.mt new file mode 100644 index 00000000..c0d61036 --- /dev/null +++ b/samples/Mathematica/TestString.mt @@ -0,0 +1 @@ +Test[1"a" <> "b", "ab", TestID -> "Concat \"a\" and \"b\""] diff --git a/samples/Mathematica/TestSuite.mt b/samples/Mathematica/TestSuite.mt new file mode 100644 index 00000000..b18ae062 --- /dev/null +++ b/samples/Mathematica/TestSuite.mt @@ -0,0 +1,5 @@ +TestSuite[ + { "TestArithmetic.mt" + , "TestString.mt" + } +] diff --git a/samples/Pickle/data.pkl b/samples/Pickle/data.pkl new file mode 100644 index 00000000..cf451f4f --- /dev/null +++ b/samples/Pickle/data.pkl @@ -0,0 +1,24 @@ +(dp0 +S'a' +p1 +(lp2 +I1 +aF2.0 +aI3 +ac__builtin__ +complex +p3 +(F4.0 +F6.0 +tp4 +Rp5 +asS'c' +p6 +NsS'b' +p7 +(S'string' +p8 +VUnicode string +p9 +tp10 +s. \ No newline at end of file diff --git a/samples/Pickle/neural-network-ce-l2reg-784-10-30.pkl b/samples/Pickle/neural-network-ce-l2reg-784-10-30.pkl new file mode 100644 index 00000000..2ad7bad3 --- /dev/null +++ b/samples/Pickle/neural-network-ce-l2reg-784-10-30.pkl @@ -0,0 +1,60 @@ +(cnumpy.core.multiarray +_reconstruct +p1 +(cnumpy +ndarray +p2 +(I0 +tS'b' +tRp3 +(I1 +(I10 +I784 +tcnumpy 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+tbg1 +(g2 +(I0 +tS'b' +tRp7 +(I1 +(I10 +I1 +tg5 +I00 +S'\xad\xe6(\x12\xef\xd0\xaa\xbf\x7f\xbdB\xa0\x82\x8c\x1f@\xe6\xd7\xef\x00q\xbc\xf1?\x1d\xab\xfa\x9a;\xe9\xb0?E\x0b24\x10)\xf9?\xf9P\x86\xf7\x00\xd0\x10@\xde\x89\xf0\xf1\x8c\xa5\x0b@\x18\xeb\xf4N\xf1\xaa\xf3?\xd64\xd7\xc7\xf2F\x00\xc0N\n\xdf\x08\x14x)@' +tbg1 +(g2 +(I0 +tS'b' +tRp8 +(I1 +(I10 +I1 +tg5 +I00 +S'\xcd(\xef\xf6\xae`\x0c\xc0\xd83\x80\x90`\x9e0\xc0\xb9\xdc1\x80X^\x1a\xc0\xcc).\x98Y\xe0\x11\xc0myx\x94\xf6\xba&\xc0\xde3M%\xd2\x8f$\xc0\xacQx\x89\x06\xc1%\xc0\xfb\xaa \xec\x9en\xf3\xbf\x1b\x8b\xf0H/\xf0 \xc0\x90\xf7\x0c$\xc3\xa9\x94?' +tbt. \ No newline at end of file diff --git a/samples/Pickle/random.pkl b/samples/Pickle/random.pkl new file mode 100644 index 00000000..ff3ab064 --- /dev/null +++ b/samples/Pickle/random.pkl @@ -0,0 +1,36 @@ +cnumpy.core.multiarray +_reconstruct +p0 +(cnumpy +ndarray +p1 +(I0 +tp2 +S'b' +p3 +tp4 +Rp5 +(I1 +(I100 +tp6 +cnumpy +dtype +p7 +(S'f8' +p8 +I0 +I1 +tp9 +Rp10 +(I3 +S'<' +p11 +NNNI-1 +I-1 +I0 +tp12 +bI00 +S'\x1cc~\xc3\xa7r\xed?\xe5${\xec\xd6\xcd\xed?\x809-\x02%\xa9\xa2?F\x0f\x1d\xe8\xef\xa3\xdb?\xfe\xd1\x0c\xb7\x83\x13\xef?\xe0\xfcO\xe5?Y\x97\xcb"\xa7%\xe7?\x9b\x8d\x16\xda\x97\xe1\xeb?T\x14\xbd\xfe|\xf4\xd0?\x18\xdfH\xc56A\xba?\x90\xc5\xfb\xc63:\xe5?\xbf%\xad\xe5.\x86\xe9?\xc6\x0c\xa9\x8c\xd7\xd5\xe9?\xf8\xafc:\x84g\xd7?\xf8\x98\x879\x9a\x16\xee?\xba\xdf\x88\x8az\x06\xe2?~g-\xeb\xc8\xed\xee?\x08A\xcc\x8c\xe7>\xef?\xceD\xc4ar\n\xdc?\x92w\xbb\xa34\xb1\xd9?\x88\xb9\xc0{u\xa3\xdc?d\x1a\xad\xe8\xf3\x14\xdd?\x9c\x95\x13\x96o?\xe5?\x9cT[\xb8r\xa9\xe5?0\xf1\x01+(\x0f\xdf?W\xbdjqD&\xed?c\xcf1-W\xe6\xe1?\xce\xbc\xe1{zW\xd9?"d\xcf\xd7\x13\x93\xde?\xf2P\xf6\xc3\xd6\x87\xd5?\xc2\x0e\x92q\x89\xda\xd5?\xc0:B\x1bb\x00\x9e?Y\xafHmr\x80\xe3?\x1co\xa7\xba\xa5/\xe4?\xa2\xbc 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\x07\xe1?R\x92?\xc4\r\x08+\x99J\xe1?I|&U\x19\xc4\xe1?|*\xf9\xebq\x7f\xed?\xbc*\x93\x89k\xab\xe9?oiL\x90;\xe0\xef?\x96\xcd\x9b\xff\x18g\xdc?pt\xb4\xa5\x9c\xa2\xbc?Nu]w*\xb7\xd2?\x88k\xac\xd0\xfd\xbf\xd5?Q\x02$b\xfeH\xea?5\xf6\t\xb6K\x1a\xee?' +p13 +tp14 +b. \ No newline at end of file diff --git a/samples/Pickle/save.pkl b/samples/Pickle/save.pkl new file mode 100644 index 00000000..13889c0c --- /dev/null +++ b/samples/Pickle/save.pkl @@ -0,0 +1,10 @@ +(dp0 +S'lion' +p1 +S'yellow' +p2 +sS'kitty' +p3 +S'red' +p4 +s. \ No newline at end of file diff --git a/samples/Pony/circle.pony b/samples/Pony/circle.pony new file mode 100644 index 00000000..06d734d7 --- /dev/null +++ b/samples/Pony/circle.pony @@ -0,0 +1,30 @@ +use "collections" + +class Circle + var _radius: F32 + + new create(radius': F32) => + _radius = radius' + + fun ref get_radius(): F32 => + _radius + + fun ref get_area(): F32 => + F32.pi() * _radius.pow(2) + + fun ref get_circumference(): F32 => + 2 * _radius * F32.pi() + +actor Main + new create(env: Env) => + + for i in Range[F32](1.0, 101.0) do + let c = Circle(i) + + var str = + "Radius: " + c.get_radius().string() + "\n" + + "Circumference: " + c.get_circumference().string() + "\n" + + "Area: " + c.get_area().string() + "\n" + + env.out.print(str) + end diff --git a/samples/Pony/counter.pony b/samples/Pony/counter.pony new file mode 100644 index 00000000..cbb583bd --- /dev/null +++ b/samples/Pony/counter.pony @@ -0,0 +1,32 @@ +use "collections" + +actor Counter + var _count: U32 + + new create() => + _count = 0 + + be increment() => + _count = _count + 1 + + be get_and_reset(main: Main) => + main.display(_count) + _count = 0 + +actor Main + var _env: Env + + new create(env: Env) => + _env = env + + var count: U32 = try env.args(1).u32() else 10 end + var counter = Counter + + for i in Range[U32](0, count) do + counter.increment() + end + + counter.get_and_reset(this) + + be display(result: U32) => + _env.out.print(result.string()) diff --git a/samples/Pony/gups-opt.pony b/samples/Pony/gups-opt.pony new file mode 100644 index 00000000..52fad32f --- /dev/null +++ b/samples/Pony/gups-opt.pony @@ -0,0 +1,261 @@ +use "options" +use "time" +use "collections" + +class Config + var logtable: U64 = 20 + var iterate: U64 = 10000 + var logchunk: U64 = 10 + var logactors: U64 = 2 + + fun ref apply(env: Env): Bool => + var options = Options(env) + + options + .add("logtable", "l", I64Argument) + .add("iterate", "i", I64Argument) + .add("chunk", "c", I64Argument) + .add("actors", "a", I64Argument) + + for option in options do + match option + | ("table", var arg: I64) => logtable = arg.u64() + | ("iterate", var arg: I64) => iterate = arg.u64() + | ("chunk", var arg: I64) => logchunk = arg.u64() + | ("actors", var arg: I64) => logactors = arg.u64() + | let err: ParseError => + err.report(env.out) + env.out.print( + """ + gups_opt [OPTIONS] + --table N log2 of the total table size. Defaults to 20. + --iterate N number of iterations. Defaults to 10000. + --chunk N log2 of the chunk size. Defaults to 10. + --actors N log2 of the actor count. Defaults to 2. + """ + ) + return false + end + end + + env.out.print( + "logtable: " + logtable.string() + + "\niterate: " + iterate.string() + + "\nlogchunk: " + logchunk.string() + + "\nlogactors: " + logactors.string() + ) + true + +actor Main + let _env: Env + let _config: Config = Config + + var _updates: U64 = 0 + var _confirm: U64 = 0 + let _start: U64 + var _actors: Array[Updater] val + + new create(env: Env) => + _env = env + + if _config(env) then + let actor_count = 1 << _config.logactors + let loglocal = _config.logtable - _config.logactors + let chunk_size = 1 << _config.logchunk + let chunk_iterate = chunk_size * _config.iterate + + _updates = chunk_iterate * actor_count + _confirm = actor_count + + var updaters = recover Array[Updater](actor_count) end + + for i in Range[U64](0, actor_count) do + updaters.push(Updater(this, actor_count, i, loglocal, chunk_size, + chunk_iterate * i)) + end + + _actors = consume updaters + _start = Time.nanos() + + for a in _actors.values() do + a.start(_actors, _config.iterate) + end + else + _start = 0 + _actors = recover Array[Updater] end + end + + be done() => + if (_confirm = _confirm - 1) == 1 then + for a in _actors.values() do + a.done() + end + end + + be confirm() => + _confirm = _confirm + 1 + + if _confirm == _actors.size() then + let elapsed = (Time.nanos() - _start).f64() + let gups = _updates.f64() / elapsed + + _env.out.print( + "Time: " + (elapsed / 1e9).string() + + "\nGUPS: " + gups.string() + ) + end + +actor Updater + let _main: Main + let _index: U64 + let _updaters: U64 + let _chunk: U64 + let _mask: U64 + let _loglocal: U64 + + let _output: Array[Array[U64] iso] + let _reuse: List[Array[U64] iso] = List[Array[U64] iso] + var _others: (Array[Updater] val | None) = None + var _table: Array[U64] + var _rand: U64 + + new create(main:Main, updaters: U64, index: U64, loglocal: U64, chunk: U64, + seed: U64) + => + _main = main + _index = index + _updaters = updaters + _chunk = chunk + _mask = updaters - 1 + _loglocal = loglocal + + _rand = PolyRand.seed(seed) + _output = _output.create(updaters) + + let size = 1 << loglocal + _table = Array[U64].undefined(size) + + var offset = index * size + + try + for i in Range[U64](0, size) do + _table(i) = i + offset + end + end + + be start(others: Array[Updater] val, iterate: U64) => + _others = others + iteration(iterate) + + be apply(iterate: U64) => + iteration(iterate) + + fun ref iteration(iterate: U64) => + let chk = _chunk + + for i in Range(0, _updaters) do + _output.push( + try + _reuse.pop() + else + recover Array[U64](chk) end + end + ) + end + + for i in Range(0, _chunk) do + var datum = _rand = PolyRand(_rand) + var updater = (datum >> _loglocal) and _mask + + try + if updater == _index then + _table(i) = _table(i) xor datum + else + _output(updater).push(datum) + end + end + end + + try + let to = _others as Array[Updater] val + + repeat + let data = _output.pop() + + if data.size() > 0 then + to(_output.size()).receive(consume data) + else + _reuse.push(consume data) + end + until _output.size() == 0 end + end + + if iterate > 1 then + apply(iterate - 1) + else + _main.done() + end + + be receive(data: Array[U64] iso) => + try + for i in Range(0, data.size()) do + let datum = data(i) + var j = (datum >> _loglocal) and _mask + _table(j) = _table(j) xor datum + end + + data.clear() + _reuse.push(consume data) + end + + be done() => + _main.confirm() + +primitive PolyRand + fun apply(prev: U64): U64 => + (prev << 1) xor if prev.i64() < 0 then _poly() else 0 end + + fun seed(from: U64): U64 => + var n = from % _period() + + if n == 0 then + return 1 + end + + var m2 = Array[U64].undefined(64) + var temp = U64(1) + + try + for i in Range(0, 64) do + m2(i) = temp + temp = this(temp) + temp = this(temp) + end + end + + var i: U64 = 64 - n.clz() + var r = U64(2) + + try + while i > 0 do + temp = 0 + + for j in Range(0, 64) do + if ((r >> j) and 1) != 0 then + temp = temp xor m2(j) + end + end + + r = temp + i = i - 1 + + if ((n >> i) and 1) != 0 then + r = this(r) + end + end + end + r + + fun _poly(): U64 => 7 + + fun _period(): U64 => 1317624576693539401 diff --git a/samples/Pony/hello-world.pony b/samples/Pony/hello-world.pony new file mode 100644 index 00000000..9f7258e2 --- /dev/null +++ b/samples/Pony/hello-world.pony @@ -0,0 +1,3 @@ +actor Main + new create(env: Env) => + env.out.print("Hello, world.") diff --git a/samples/Pony/mandelbrot.pony b/samples/Pony/mandelbrot.pony new file mode 100644 index 00000000..cae7ea1d --- /dev/null +++ b/samples/Pony/mandelbrot.pony @@ -0,0 +1,188 @@ +use "files" +use "options" +use "collections" + +actor Worker + new mandelbrot(main: Main, x: U64, y: U64, width: U64, iterations: U64, + limit: F32, real: Array[F32] val, imaginary: Array[F32] val) + => + var view: Array[U8] iso = + recover + Array[U8]((y - x) * (width >> 3)) + end + + let group_r = Array[F32].undefined(8) + let group_i = Array[F32].undefined(8) + + var row = x + + try + while row < y do + let prefetch_i = imaginary(row) + + var col: U64 = 0 + + while col < width do + var j: U64 = 0 + + while j < 8 do + group_r.update(j, real(col + j)) + group_i.update(j, prefetch_i) + j = j + 1 + end + + var bitmap: U8 = 0xFF + var n = iterations + + repeat + var mask: U8 = 0x80 + var k: U64 = 0 + + while k < 8 do + let r = group_r(k) + let i = group_i(k) + + group_r.update(k, ((r * r) - (i * i)) + real(col + k)) + group_i.update(k, (2.0 * r * i) + prefetch_i) + + if ((r * r) + (i * i)) > limit then + bitmap = bitmap and not mask + end + + mask = mask >> 1 + k = k + 1 + end + until (bitmap == 0) or ((n = n - 1) == 1) end + + view.push(bitmap) + + col = col + 8 + end + row = row + 1 + end + + main.draw(x * (width >> 3), consume view) + end + +actor Main + var iterations: U64 = 50 + var limit: F32 = 4.0 + var chunks: U64 = 16 + var width: U64 = 16000 + var actors: U64 = 0 + var header: U64 = 0 + var real: Array[F32] val = recover Array[F32] end + var imaginary: Array[F32] val = recover Array[F32] end + var outfile: (File | None) = None + + new create(env: Env) => + try + arguments(env) + + let length = width + let recip_width = 2.0 / width.f32() + + var r = recover Array[F32](length) end + var i = recover Array[F32](length) end + + for j in Range(0, width) do + r.push((recip_width * j.f32()) - 1.5) + i.push((recip_width * j.f32()) - 1.0) + end + + real = consume r + imaginary = consume i + + spawn_actors() + create_outfile() + end + + be draw(offset: U64, pixels: Array[U8] val) => + match outfile + | var out: File => + out.seek_start(header + offset) + out.write(pixels) + if (actors = actors - 1) == 1 then + out.dispose() + end + end + + fun ref create_outfile() => + match outfile + | var f: File => + f.print("P4\n " + width.string() + " " + width.string() + "\n") + header = f.size() + f.set_length((width * (width >> 3)) + header) + end + + fun ref spawn_actors() => + actors = ((width + (chunks - 1)) / chunks) + + var rest = width % chunks + + if rest == 0 then rest = chunks end + + var x: U64 = 0 + var y: U64 = 0 + + for i in Range(0, actors - 1) do + x = i * chunks + y = x + chunks + Worker.mandelbrot(this, x, y, width, iterations, limit, real, imaginary) + end + + Worker.mandelbrot(this, y, y + rest, width, iterations, limit, real, + imaginary) + + fun ref arguments(env: Env) ? => + let options = Options(env) + + options + .add("iterations", "i", I64Argument) + .add("limit", "l", F64Argument) + .add("chunks", "c", I64Argument) + .add("width", "w", I64Argument) + .add("output", "o", StringArgument) + + for option in options do + match option + | ("iterations", var arg: I64) => iterations = arg.u64() + | ("limit", var arg: F64) => limit = arg.f32() + | ("chunks", var arg: I64) => chunks = arg.u64() + | ("width", var arg: I64) => width = arg.u64() + | ("output", var arg: String) => + outfile = try File(FilePath(env.root, arg)) end + | let err: ParseError => err.report(env.out) ; usage(env) ; error + end + end + + fun tag usage(env: Env) => + env.out.print( + """ + mandelbrot [OPTIONS] + + The binary output can be converted to a BMP with the following command + (ImageMagick Tools required): + + convert JPEG:.jpg + + Available options: + + --iterations, -i Maximum amount of iterations to be done for each pixel. + Defaults to 50. + + --limit, -l Square of the limit that pixels need to exceed in order + to escape from the Mandelbrot set. + Defaults to 4.0. + + --chunks, -c Maximum line count of chunks the image should be + divided into for divide & conquer processing. + Defaults to 16. + + --width, -w Lateral length of the resulting mandelbrot image. + Defaults to 16000. + + --output, -o File to write the output to. + + """ + ) diff --git a/samples/Pony/mixed.pony b/samples/Pony/mixed.pony new file mode 100644 index 00000000..d55a161c --- /dev/null +++ b/samples/Pony/mixed.pony @@ -0,0 +1,130 @@ +use "collections" + +actor Worker + var _env: Env + + new create(env: Env) => + _env = env + + var a: U64 = 86028157 + var b: U64 = 329545133 + + var result = factorize(a*b) + + var correct = + try + (result.size() == 2) and + (result(0) == 86028157) and + (result(1) == 329545133) + else + false + end + + fun ref factorize(bigint: U64) : Array[U64] => + var factors = Array[U64](2) + + if bigint <= 3 then + factors.push(bigint) + else + var d: U64 = 2 + var i: U64 = 0 + var n = bigint + + while d < n do + if (n % d) == 0 then + i = i + 1 + factors.push(d) + n = n / d + else + d = if d == 2 then 3 else (d + 2) end + end + end + + factors.push(d) + end + + factors + +actor Ring + var _env: Env + var _size: U32 + var _pass: U32 + var _repetitions: U32 + var _next: Ring + + new create(env: Env, size: U32, pass: U32, repetitions: U32) => + _env = env + _size = size + _pass = pass + _repetitions = repetitions + _next = spawn_ring(_env, _size, _pass) + run() + + new neighbor(env: Env, next: Ring) => + _env = env + _next = next + _size = 0 + _pass = 0 + _repetitions = 0 + + be apply(i: U32) => + if i > 0 then + _next(i - 1) + else + run() + end + + fun ref run() => + if _repetitions > 0 then + _repetitions = _repetitions - 1 + _next(_pass * _size) + Worker(_env) + end + + fun tag spawn_ring(env: Env, size: U32, pass': U32) : Ring => + var next: Ring = this + + for i in Range[U32](0, size) do + next = Ring.neighbor(env, next) + end + + next + +actor Main + var _size: U32 = 50 + var _count: U32 = 20 + var _pass: U32 = 10000 + var _repetitions: U32 = 5 + var _env: Env + + new create(env: Env) => + _env = env + + try + arguments() + start_benchmark() + else + usage() + end + + fun ref arguments() ? => + _count = _env.args(1).u32() + _size = _env.args(2).u32() + _pass = _env.args(3).u32() + _repetitions = _env.args(4).u32() + + fun ref start_benchmark() => + for i in Range[U32](0, _count) do + Ring(_env, _size, _pass, _repetitions) + end + + fun ref usage() => + _env.out.print( + """ + mixed OPTIONS + N number of actors in each ring" + N number of rings" + N number of messages to pass around each ring" + N number of times to repeat" + """ + ) diff --git a/samples/Ren'Py/example.rpy b/samples/Ren'Py/example.rpy new file mode 100644 index 00000000..90c3c286 --- /dev/null +++ b/samples/Ren'Py/example.rpy @@ -0,0 +1,1427 @@ +### Demo Script Example ### + +# This script, but not the artwork associated with it, is in the +# public domain. Feel free to use it as the basis for your own +# game. + +# If you're trying to understand this script, I recommend skipping +# down to the line beginning with 'label start:', at least on your +# first read-through. + +# This init block runs first, and sets up all sorts of things that +# are used by the rest of the game. Variables that are set in init +# blocks are _not_ saved, unless they are changed later on in the +# program. + +init: + + # Set up the size of the screen, and the window title. + $ config.screen_width = 800 + $ config.screen_height = 600 + $ config.window_title = "The Ren'Py Demo Game" + + # Declare the images that are used in the program. + + # Backgrounds. + image bg carillon = "carillon.jpg" + image bg whitehouse = "whitehouse.jpg" + image bg washington = "washington.jpg" + image bg onememorial = "1memorial.jpg" + image black = Solid((0, 0, 0, 255)) + + # Character pictures. + image eileen happy = "9a_happy.png" + image eileen vhappy = "9a_vhappy.png" + image eileen concerned = "9a_concerned.png" + + # A character object. This object lets us have the character say + # dialogue without us having to repeatedly type her name. It also + # lets us change the color of her name. + + $ e = Character('Eileen', color=(200, 255, 200, 255)) + +# The start label marks the place where the main menu jumps to to +# begin the actual game. + +label start: + + # The save_name variable sets the name of the save game. Like all + # variables declared outside of init blocks, this variable is + # saved and restored with a save file. + $ save_name = "Introduction" + + # This variable is only used by our game. If it's true, it means + # that we won the date. + $ date = False + + # Clear the game runtime timer, so it doesn't reflect time spent + # sitting at the main menu. + $ renpy.clear_game_runtime() + + # Start some music playing in the background. + $ renpy.music_start('sun-flower-slow-drag.mid') + + # Now, set up the first scene. We first fade in our washington + # background, and then we dissolve in the image of Eileen on top + # of it. + scene bg washington with fade + show eileen vhappy with dissolve + + # Store the current version of Ren'Py into a variable, so we can + # interpolate it into the next line. + $ version = renpy.version() + + # Display a line of dialogue. In this case, we manually specify + # who's saying the line of dialogue. We also interpolate in the + # version of Ren'Py we're using. + "Girl" "Hi, and welcome to the %(version)s demo program." + + # This instantly replaces the very happy picture of Eileen with + # one showing her merely happy. It demonstrates how the show + # statement lets characters change emotions. + show eileen happy + + # Another line of dialogue. + "Girl" "My name is Eileen, and while I plan to one day star in a + real game, for now I'm here to tell you about Ren'Py." + + # This line used the e character object, which displays Eileen's + # name in green. The use of a short name for a character object + # lets us save typing when writing the bulk of the dialogue. + e "Ren'Py is a language and engine for writing and playing visual + novel games." + + e "Our goal is to allow people to be able to write the script for + a game, and with very little effort, turn that script into + a working game." + + e "I can tell you about the features of Ren'Py games, or how to write + your own game. What do you want to know about?" + + # This variable is used to save the choices that have been made in + # the main menu. + $ seen_set = [ ] + +label choices: + + # We change the save name here. + $ save_name = "Question Menu" + + # This is the main menu, that lets the user decide what he wants + # to hear about. + menu: + + # The set menu clause ensures that each menu choice can only + # be chosen once. + set seen_set + + # This is a menu choice. When chosen, the statements in its + # block are executed. + "What are some user-visible features of Ren'Py games?": + + # We call the features label. The from clause needs to be + # here to ensure that save games work, even after we + # change the script. It was added automatically. + call features from _call_features_1 + + # When we're done talking about features, jump back up + # to choices. + jump choices + + # Another choice. + "How do I write my own games with it?": + call writing from _call_writing_1 + jump choices + + "Can you demonstrate more features to me?": + call demonstrate from _call_demonstrate_1 + jump choices + + # This choice has a condition associated with it. It is only + # displayed if the condition is true (in this case, if we have + # selected at least one other choice has been chosen.) + "Where can I find out more?" if seen_set: + call find_out_more from _call_find_out_more_1 + jump choices + + "Why are we in Washington, DC?": + call washington from _call_washington_1 + jump choices + + "I think I've heard enough." if seen_set: + jump ending + + +# This is the section on writing games. +label writing: + + # Change the title of the save games. + $ save_name = "Writing Games" + + # We start off with a bunch of dialogue. + e "If you want to write a game, we recommend that you read the + Ren'Py reference, which you can get from our web page, + http://www.bishoujo.us/renpy/." + + e "But here, we'll go over some of the basics of writing Ren'Py + scripts. It might make sense if you open the source for this + game." + + e "The source for this game can be found in the file + game/script.rpy." + + e "The goal of Ren'Py is to make writing the game similar to + typing up the script on the computer." + + e "For example, a line of dialogue is expressed by putting the + character's name next to the dialogue string." + + # A string by itself like this displays without a name associated + # with it. So it's useful for dialogue and narration. + "I somehow remember that strings by themselves are displayed as + thoughts or narration." + + e "The menu statement makes it easy to create menus." + + e "A number of statements let you control what is shown on the + screen." + + # This scene statement has a with clause associated with it. In + # this case (based on what is defined in the init clause at the + # top of this script), it causes a fade to black, and then back + # to the new scene. + scene bg whitehouse with fade + + e "The scene statement clears the scene list, which is the list of + things that are shown on the screen." + + # This shows an image, and dissolves it in. + show eileen happy with dissolve + + e "The show statement shows another image on the screen." + + # The at clause here, displays the character on the left side of + # the screen. The with clause causes us to slide from the old + # position to the new position. + show eileen happy at left with move + + e "Images can take at clauses that specify where on the screen + they are shown." + + show eileen vhappy at left + + e "Showing a new image with the same first part of the name + replaces the image in the scene list." + + hide eileen with dissolve + + e "Finally, the hide statement hides an image, which is useful + when a character leaves the scene." + + show eileen happy with dissolve + + e "Don't worry, I'm not going anywhere." + + e "The with statement is used to cause transitions to + happen. Transitions like fade..." + + # This statement hides the transient stuff from being included + # in the next fade. + with None + + # This with statement causes things to fade without changing the + # scene. + with fade + + e "... or dissolve ..." + + # In this block, the scene statement clears the scene list. So we + # have to reshow the eileen happy image, so that it appears that + # just the background is dissolving. Sneaky. + with None + scene bg washington + show eileen happy + with dissolve + + e "... are easily invoked." + + e "We now provide a series of user-interface functions, that allow + the programmer to create fairly complex interfaces." + + e "Ren'Py also includes a number of control statements, and even + lets you include python code." + + e "Rather than go into this here, you can read all about it in the + reference." + + e "You can see a number of features in action by asking me to + demonstrate them at the next menu." + + e "If you want to make changes, you can edit the script for this + game by editing game/script.rpy" + + e "When you've made a change, just re-run the game to see your + change in action." + + e "Would you like to know about something else?" + + # We return back up to the menu that lets the user pick a topic. + return + +# This ends the well-commented portion of this script. + +label features: + + $ save_name = "Features" + + e "Ren'Py provides a number of gameplay features, giving the user + a good experience while freeing up the game author to write his + game." + + e "What are some of these features? Well, first of all, we take + care of displaying the screen, as well as dialogue and menus." + + e "You can navigate through the game using the keyboard or the + mouse. If you've gotten this far, you've probably figured that + out already." + + e "Right-clicking or pressing escape will bring you to the game + menu." + + e "The game menu lets you save or load the game. Ren'Py doesn't + limit the number of save slots available. You can create as + many slots as you can stand." + + e "A preferences screen on the game menu lets you change the + fullscreen mode, control skipping, text speed, and + transitions, and turn sound and music on and off." + + e "The game menu also lets you restart or quit the game. But you + wouldn't want to do that, would you?" + + e "Finally, the game menu lets you set up the game + preferences. These preferences are saved between games." + + show eileen vhappy + + e "The next feature is really neat." + + show eileen happy + + menu rollback_menu: + "Would you like to hear about rollback?" + + "Yes.": + pass + + "No.": + jump after_rollback + + + e "Rollback is a feature that only Ren'Py has. It lets you go back + in time in a game." + + e "For example, you can go back to a menu and save or make a + different choice." + + e "You can access it by pressing page up or scrolling up on your + mouse wheel." + + e "Why don't you try it by going back to the last menu and + choosing 'No.' instead of 'Yes.'" + + e "Press page up or scroll up the mouse wheel." + + show eileen concerned + + e "Well, are you going to try it?" + + e "Your loss." + + e "Moving on." + +label after_rollback: + + show eileen happy + + e "Ren'Py gives you a few ways of skipping dialogue. Pressing + control quickly skips dialogue you've seen at least once." + + e "Pressing Tab toggles the skipping of dialogue you've seen at + least once." + + e "Pressing page down or scrolling the mouse wheel down will let + you skip dialogue you've seen this session. This is useful + after a rollback." + + e "If you want to try these, you might want to rollback a bit + first, so you can skip over something you've seen already." + + e "Finally, Ren'Py has predictive image loading, so you rarely + have to wait for a new image to load." + + e "Remember, all these features are built into the engine or + standard library. So every game written with Ren'Py has them." + + e "Is there anything else you'd like to know about?" + + return + + +label find_out_more: + + $ save_name = "Find Out More" + + e "There are a few places you can go to find out more about + Ren'Py." + + e "The Ren'Py homepage, http://www.bishoujo.us/renpy/, is probably + the best place to start." + + e "There, you can download new versions of Ren'Py, and read the + tutorial online." + + e "If you have questions, the best place to ask them is the Ren'Py + forum of the Lemmasoft forums." + + e "Just go to http://lemmasoft.renai.us/forums/, and click on + Ren'Py." + + e "We thank Blue Lemma for hosting our forum." + + e "Finally, feel free to email or IM us if you need help. You can + get the addresses to use from http://www.bishoujo.us/renpy/." + + e "We really want people to make their own games with Ren'Py, and + if there's anything we can do to help, just tell us." + + e "Is there anything I can help you with now?" + + return + +label washington: + + $ save_name = "Washington, DC" + + e "We're in Washington, DC because over Summer 2004 American + Bishoujo's home base was just outside of DC." + + scene bg whitehouse + show eileen happy at left + with fade + + e "Even though we've moved back to New York, we took a bunch of + pictures, and decided to use them." + + show eileen concerned at left + + e "It was easier than drawing new pictures for this demo." + + show eileen happy at left + + e "Do you have a favorite landmark in or around DC?" + + menu: + + "The White House.": + + e "I was supposed to go on a tour of the West Wing, once." + + show eileen concerned + + e "They wouldn't let us in." + + e "The secret service guy who was supposed to show us + around was out of town that day." + + e "Too bad." + + "The National Mall.": + + e "It's always fun to go down to the national mall." + + e "You can visit the monuments, or see one of the + museums." + + e "I guess you could run out of things to do after a while + but I didn't over the course of a summer." + + "The Netherlands Carillon.": + jump netherlands + + jump post_netherlands + +label netherlands: + + show eileen vhappy at left + + e "You've been to the Netherlands Carillon?" + + scene bg carillon + show eileen vhappy at left + with dissolve + + e "It may not be much to look at but the sound of the bells is + really neat." + + e "I love going there. Saturdays during the summer, they have + these recitals in the park where a guy comes and plays the + bells live." + + e "You can climb to the top and talk to him, if you're not afraid + of heights." + + e "Once, I saw a little girl there, maybe three or four years old. + The guy played the bumblebee song for here, and he even let her play the last + note. It was so cute!" + + e "I haven't been there for so long." + + menu: + "Would you like to go there sometime?": + + e "You mean, together?" + + e "Sure, why not. How does next Saturday sound?" + + e "It's a date." + + $ date = True + + "That sounds nice.": + + show eileen happy at left + + e "Well, it is." + +label post_netherlands: + + scene bg washington + show eileen happy + with fade + + e "Anyway, is there anything else you want to know about Ren'Py?" + + return + +label ending: + + $ save_name = "Ending" + + e "Well, that's okay." + + e "I hope you'll consider using Ren'Py for your next game + project." + + show eileen vhappy + + e "Thanks for viewing this demo!" + + if date: + e "And I'll see you on Saturday." + + scene black with dissolve + + "Ren'Py and the Ren'Py demo were written by PyTom." + + 'The background music is "Sun Flower Slow Drag" by S. Joplin + (1868-1917). Thanks to the Mutopia project for making it + available.' + + 'The author would like to thank everyone who makes original + English-language bishoujo games, and the people on the Lemmasoft forums + who encouraged him.' + + "We can't wait to see what you do with this. Good luck!" + + $ minutes, seconds = divmod(int(renpy.get_game_runtime()), 60) + "It took you %(minutes)d minutes and %(seconds)d seconds to + finish this demo." + + $ renpy.full_restart() + + +label speedtest: + + with None + scene bg whitehouse + show eileen happy + with dissolve + + e "Okay, I'm going to run the speedtest on your system." + + e "I'll only be testing the performance of the dissolve + transition. It taxes your system the most, as it needs to + redraw the entire screen each frame." + + $ frames = config.frames + + with None + scene bg washington + show eileen happy + with Dissolve(5.0) + + $ frames = config.frames - frames + $ fps = frames / 5.0 + + e "Well, your system displayed %(frames)d frames in five + seconds. That's %(fps).1f fps." + + e "Remember, this is the worst-case speed, as usually we can just + draw the parts of the screen that have changed." + + e "Thanks for viewing the secret speed test." + + return + +# Setup the secret key for the speedtest. +init: + python: + config.keymap['speedtest'] = [ 'S' ] + config.underlay.append(renpy.Keymap(speedtest=renpy.curried_call_in_new_context('speedtest'))) + + +init: + + # This is just some example code to show the ui functions in + # action. You probably want to delete this (and the call to + # day_planner above) from your game. This code isn't really all + # that useful except as an example. + + python: + def day_planner(): + + periods = [ 'Morning', 'Afternoon', 'Evening' ] + choices = [ 'Study', 'Exercise', + 'Eat', 'Drink', 'Be Merry' ] + + plan = { 'Morning' : 'Eat', + 'Afternoon' : 'Drink', + 'Evening' : 'Be Merry' } + + day = 'March 25th' + + stats = [ + ('Strength', 100, 10), + ('Intelligence', 100, 25), + ('Moxie', 100, 100), + ('Chutzpah', 100, 75), + ] + + editing = None + + def button(text, selected, returns, **properties): + style = 'button' + style_text = 'button_text' + + if selected: + style='selected_button' + style_text='selected_button_text' + + ui.button(clicked=ui.returns(returns), + style=style, **properties) + ui.text(text, style=style_text) + + + while True: + + # Stats Window + ui.window(xpos=0, + ypos=0, + xanchor='left', + yanchor='top', + xfill=True, + yminimum=200, + ) + + ui.vbox() + + ui.text('Statistics') + ui.null(height=20) + + for name, range, value in stats: + + ui.hbox() + ui.text(name, minwidth=150) + ui.bar(600, 22, range, value, ypos=0.5, yanchor='center') + ui.close() + + ui.close() + + + + + # Period Selection Window. + ui.window(xpos=0, + ypos=200, + xanchor='left', + yanchor='top', + xfill=False, + xminimum=300 + ) + + ui.vbox(xpos=0.5, xanchor='center') + ui.text(day, xpos=0.5, xanchor='center', textalign=0.5) + ui.null(height=20) + + for i in periods: + face = i + ": " + plan[i] + button(face, editing == i, ("edit", i)) + + ui.null(height=20) + ui.textbutton("Continue", clicked=ui.returns(("done", True))) + ui.null(height=20) + ui.close() + + + # Choice window. + if editing: + ui.window(xpos=300, + ypos=200, + xanchor='left', + yanchor='top', + xfill=False, + xminimum=500 + ) + + ui.vbox() + ui.text("What will you do in the %s?" % editing.lower()) + ui.null(height=20) + + for i in choices: + button(i, plan[editing] == i, ("set", i), + xpos=0, xanchor='left') + + ui.close() + + # Window at the bottom. + ui.window() + ui.vbox() + ui.text("To get to the next screen, click the 'Continue' button.") + ui.close() + + type, value = ui.interact() + + if type == "done": + break + + if type == "edit": + editing = value + + if type == "set": + plan[editing] = value + editing = None + + return plan + +init: + image movie = Movie() + + python: + povname = "" + pov = DynamicCharacter("povname", color=(255, 0, 0, 255)) + + $ ectc = Character('Eileen', color=(200, 255, 200, 255), + ctc = anim.Blink("arrow.png")) + + $ ectcf = Character('Eileen', color=(200, 255, 200, 255), + ctc = anim.Blink("arrow.png", xpos=760, ypos=560), + ctc_position="fixed") + + image eileen animated = Animation( + "9a_vhappy.png", 1.0, + "9a_happy.png", 1.0) + + image smanim = anim.SMAnimation( + "r", + anim.State("r", Solid((255, 0, 0, 255))), + anim.State("g", Solid((0, 255, 0, 255))), + anim.State("b", Solid((0, 0, 255, 255))), + + anim.Edge("r", .5, "g", dissolve), + anim.Edge("r", .5, "b", dissolve), + + anim.Edge("g", .5, "r", dissolve), + anim.Edge("g", .5, "b", dissolve), + + anim.Edge("b", .5, "r", dissolve), + anim.Edge("b", .5, "g", dissolve), + ) + + image cyan base = Image("cyan.png") + + image cyan crop = im.Crop("cyan.png", 100, 0, 100, 200) + + image cyan composite = im.Composite((200, 300), + (0, 0), "cyan.png", + (0, 50), "cyan.png", + (0, 100), "cyan.png") + + image cyan green = im.Map("cyan.png", bmap=im.ramp(0, 0)) + + image cyan alpha = im.Alpha("cyan.png", 0.5) + image eileen alpha = im.Alpha("9a_happy.png", 0.5) + + $ cyanpos = Position(xpos=700, xanchor='right', ypos=100, yanchor='top') + +init: + + $ slowcirciris = ImageDissolve("circiris.png", 5.0, 8) + $ circirisout = ImageDissolve("circiris.png", 1.0, 8) + $ circirisin = ImageDissolve("circiris.png", 1.0, 8, reverse=True) + $ demotrans = ImageDissolve("demotrans.png", 3.0, 128) + + image circiris = "circiris.png" + +label demonstrate: + + scene bg washington + show eileen happy + + e "I can give you a demonstration of some of the features in + Ren'Py, but you'll have to tell me what it is you'd like to + have demonstrated." + + menu demo_menu: + + "Simple transitions, updated in 4.8.5": + + e "Okay, I can tell you about simple transitions. We call + them simple because they aren't that flexible." + + e "But don't let that get you down, since they're the + transitions you'll probably use the most." + + with None + scene bg whitehouse + show eileen happy + with dissolve + + e "The dissolve transition is probably the most useful, + blending one scene into another." + + with None + with fade + + e "The fade transition fades to black, and then fades back + in to the new scene." + + e "If you're going to stay at a black screen, you'll + probably want to use dissolve rather than fade." + + with None + scene bg washington + show eileen happy + with pixellate + + e "The pixellate transition pixellates out the old scene, + switches to the new scene, and then unpixellates that." + + e "It's probably not appropriate for most games, but we + think it's kind of neat." + + e "Finally, we can point out that motions can be used as + transitions." + + "..." + + "......" + + $ renpy.play('punch.wav') + with vpunch + + e "Hey! Pay attention." + + e "I was about to demonstrate vpunch... well, I guess I just + did." + + $ renpy.play('punch.wav') + with hpunch + + e "We can also shake the screen horizontally, with hpunch." + + "ImageDissolve transitions, added in 4.8.7.": + + e "ImageDissolve allows us to have dissolve transitions that are + controlled by images." + + e "This lets us specify very complex transitions, fairly + simply." + + e "Let's try some, and then I'll show how they work." + + e "There are two ImageDissolve transitions present by + default in the standard library." + + scene black with blinds + scene bg washington + show eileen happy + with blinds + + e "The blinds transition opens and closes what looks like + vertical blinds." + + scene black with squares + scene bg washington + show eileen happy + with squares + + e "The squares transition uses these squares to show + things." + + e "I'm not sure why anyone would want to use it, but it + was used in some translated games, so we added it." + + e "There are also a few transitions that aren't in the + standard library." + + e "These ones require images the size of the screen, and + so we couldn't include them as the size of the screen + can change from game to game." + + e "You can find them defined in the source of the demo + script." + + scene black with circirisin + + e "We can hide things with a circirisin..." + + with None + scene bg washington + show eileen happy + with circirisout + + e "... and show them again with a circirisout." + + e "It's even possible to have weird custom transitions." + + scene circiris with demotrans + + e "What we're showing here is the picture that's used in + the circiris transitions." + + e "If you take a look, the center of it is white, while + the edges are darker." + + e "When we use an ImageDissolve, the white will dissolve + in first, followed by progressively darker colors." + + e "Let's try it." + + with None + scene bg washington + show eileen happy + with slowcirciris + + + e "It's also possible to reverse the transition, so that + the black pixels are dissolved in first." + + "CropMove transitions, added in 4.5.": + + e "The CropMove transition class lets us provide a wide + range of transition effects." + + hide eileen with dissolve + + e "I'll stand offscreen, so you can see some of its modes. I'll read + out the mode name after each transition." + + scene bg whitehouse with wiperight + + e "We first have wiperight..." + + scene bg washington with wipeleft + + e "...followed by wipeleft... " + + scene bg whitehouse with wipeup + + e "...wipeup..." + + scene bg washington with wipedown + + e "...and wipedown." + + e "Next, the slides." + + scene bg whitehouse with slideright + + e "Slideright..." + + scene bg washington with slideleft + + e "...slideleft..." + + scene bg whitehouse with slideup + + e "...slideup..." + + scene bg washington with slidedown + + e "and slidedown." + + e "While the slide transitions slide in the new scene, the + slideaways slide out the old scene." + + scene bg whitehouse with slideawayright + + e "Slideawayright..." + + scene bg washington with slideawayleft + + e "...slideawayleft..." + + scene bg whitehouse with slideawayup + + e "...slideawayup..." + + scene bg washington with slideawaydown + + e "and slideawaydown." + + e "We also have a couple of transitions that use a + rectangular iris." + + scene bg whitehouse with irisout + + e "There's irisout..." + + with None + scene bg washington + show eileen happy + with irisin + + e "... and irisin." + + e "It's enough to make you feel a bit dizzy." + + "Positions and movement, updated in 4.8.": + + e "I'm not stuck standing in the middle of the screen, + even though I like being the center of attention." + + e "Positions, given with an at clause, specify where I'm + standing." + + e "The move transition moves around images that have + changed position." + + e "For example..." + + show eileen happy at offscreenleft with move + + e "I can move over to the offscreenleft position, just off + the left side of the screen." + + show eileen happy at left with move + + e "The left position has my left side border the left + margin of the screen." + + show eileen happy at center with move + + e "I can also move to the center..." + + show eileen happy at right with move + + e "... the right ..." + + show eileen happy at offscreenright with move + + e "... or even to offscreenright, off the right-hand side + of the screen." + + show eileen happy at right with move + + e "We don't limit you to these five positions either. You + can always create your own Position objects." + + # This is necessary to restart the time at which we are + # shown. + hide eileen happy + + show eileen happy at Move((1.0, 1.0, 'right', 'bottom'), + (0.0, 1.0, 'left', 'bottom'), + 4.0, repeat=True, bounce=True) + + e "It's also possible to have a movement happen while + showing dialogue on the screen, using the Move function." + + e "Move can repeat a movement, and even have it bounce + back and forth, like I'm doing now." + + scene bg onememorial at Pan((0, 800), (0, 0), 10.0) with dissolve + + e "Finally, we can pan around an image larger than the + screen, using the Pan function in an at + clause." + + e "That's what we're doing now, panning up a picture of + the memorial to the Big Red One." + + with None + scene bg washington + show eileen happy + with dissolve + + "Animation, updated in 4.8.5": + + e "Ren'Py supports a number of ways of creating + animations." + + e "These animations let you vary images, independent of + the user's clicks." + + show eileen animated + + e "For example, I'm switching my expression back and + forth, once a second." + + e "Even though you clicked, I'm still doing it." + + e "This is an example of the Animation function at work." + + show eileen happy + + e "The Animation function is limited to simple lists of + images, with fixed delays between them." + + e "The sequence can repeat, or can stop after one + go-through." + + e "If you want more control, you can use the + anim.SMAnimation function." + + e "It can randomly change images, and even apply + transitions to changes." + + with None + scene smanim + show eileen happy + with dissolve + + e "Here, we randomly dissolve the background between red, + green, and blue images." + + e "Psychadelic." + + with None + scene bg washington + show eileen happy + with dissolve + + e "It's probably best if we stop here, before somebody's + brain explodes." + + "Text tags, updated in 5.1.4.": + + e "Text tags let us control the appearance of text that is + shown to the user." + + e "Text tags can make text {b}bold{/b}, {i}italic{/i}, or + {u}underlined{/u}." + + e "They can make the font size {size=+12}bigger{/size} or + {size=-8}smaller{/size}." + + e "They let you pause{w} the display of the text, + optionally with{p}line breaks." + + e "They let you include {image=slider_idle.png} images + inside text." + + e "They can even change the + {color=#f00}color{/color} + {color=#ff0}of{/color} + {color=#0f0}the{/color} + {color=#0ff}text{/color}." + + e "There are also bold, italic, and underline style properties, which can + be styled onto any text." + + e "If you find yourself using text tags on every line, you + should probably look at style properties instead." + + e "Used with care, text tags can enhance {b}your{/b} game." + + e "{u}Used{/u} with {i}abandon,{/i} they {b}can{/b} make {b}your{/b} + game {color=#333}hard{/color} {color=#888}to{/color} {color=#ccc}read{/color}." + + e "With great power comes great responsibility, after all." + + e "And we want to give you all the power you need." + + + "Music, sound and movies, updated in 4.5.": + + e "Ren'Py supports a number of multimedia functions." + + e "You're probably hearing music playing in the + background." + + + $ renpy.music_stop(fadeout=0.5) + e "We can stop it..." + + + $ renpy.music_start('sun-flower-slow-drag.mid') + e "... and start it playing again." + + # This plays a sound effect. + $ renpy.play("18005551212.wav") + + e "We can also play up to eight channels of sound effects + on top of the music." + + e "We ship, in the extras/ directory, code to support + characters having voice." + + e "Finally, we support playing mpeg movies." + + if renpy.exists('Eisenhow1952.mpg'): + + e "Since you downloaded the Eisenhower commercial, I can show + it to you as a cutscene." + + e "You can click to continue if it gets on your nerves too + much." + + $ renpy.movie_cutscene('Eisenhow1952.mpg', 63.0) + + hide eileen + show movie at Position(xpos=420, ypos=25, xanchor='left', yanchor='top') + show eileen happy + + $ renpy.movie_start_displayable('Eisenhow1952.mpg', (352, 240)) + + e "Ren'Py can even overlay rendered images on top of a movie, + although that's more taxing for your CPU." + + e "It's like I'm some sort of newscaster or something." + + $ renpy.movie_stop() + hide movie + + else: + + e "You haven't downloaded the Eisenhower commercial, so we + can't demonstrate it." + + e "That's it for multimedia." + + "Image Operations, added in 4.8.5": + + e "Image operations allow one to manipulate images as they + are loaded in." + + e "These are efficent, as they are only evaluated when an + image is first loaded." + + e "This way, there's no extra work that needs to be done + when each frame is drawn to the screen." + + show eileen happy at left with move + show cyan base at cyanpos with dissolve + + e "Let me show you a test image, a simple cyan circle." + + e "We'll be applying some image operations to it, to see + how they can be used." + + show cyan crop at cyanpos with dissolve + + e "The im.Crop operation can take the image, and chop it + up into a smaller image." + + show cyan composite at cyanpos with dissolve + + e "The im.Composite operation lets us take multiple images, + and draw them into a single image." + + e "While you can do this by showing multiple images, this + is more efficent, if more complex." + + show cyan green at cyanpos with dissolve + + e "The im.Map operation lets us mess with the red, green, + blue, and alpha channels of an image." + + e "In this case, we removed all the blue from the image, + leaving only the green component of cyan." + + show cyan alpha at cyanpos with dissolve + + e "The im.Alpha operation can adjust the alpha channel on + an image, making things partially transparent." + + show eileen alpha at left with dissolve + + e "It's useful if a character just happens to be ghost." + + with None + hide cyan + show eileen happy at left + with dissolve + + e "But that's not the case with me." + + show eileen happy with move + + + "User interaction.": + + e "Ren'Py gives a number of ways of interacting with the + user." + + e "You've already seen say statements and menus." + + e "We can also prompt the user to enter some text." + + $ povname = renpy.input("What is your name?") + + pov "My name is %(povname)s." + + + e "Imagemaps let the user click on an image to make a + choice." + + # This is an imagemap. It consists of two images, and a list of + # hotspots. For each hotspot we give the coordinates of the left, + # top, right, and bottom sides, and the value to return if it is + # picked. + + $ result = renpy.imagemap("ground.png", "selected.png", [ + (100, 100, 300, 400, "eileen"), + (500, 100, 700, 400, "lucy") + ]) + + # We've assigned the chosen result from the imagemap to the + # result variable. We can use an if statement to vary what + # happens based on the user's choice. + + if result == "eileen": + show eileen vhappy + e "You picked me!" + + elif result == "lucy": + show eileen concerned + e "It looks like you picked Lucy." + + # Eileen is being a bit possesive here. :-P + if date: + e "You can forget about Saturday." + $ date = False + + show eileen happy + + e "While these constructs are probably enough for most + visual novels, dating simulations may be more + complicated." + + e "The ui functions allow you to create quite complicated + interfaces." + + e "For example, try the following scheduling and stats screen, + which could be used by a stat-based dating simulation." + + $ day_planner() + + e "The ui functions can be used to rewrite many parts of + the interface." + + e "Hopefully, this gives you enough power to write any + visual novel you want." + + "Potpourri, added in 5.1.2.": + + e "Welcome to the potpourri section of the demo." + + e "Here, we demonstrate features that don't fit in any of + the other sections, but don't warrant their own + section." + + ectc "Here, we demonstrate a click to continue + indicator. In this example, it's nestled in with the + text." + + ectc "This also demonstrates the use of the anim.Blink + function." + + ectcf "A click to continue image can also be placed at a + fixed location on the screen." + + e "That's it for now." + + + " " # Empty, so we have a blank line. + + "That's enough for me.": + + return + + e "Is there anything else you want demonstrated?" + + jump demo_menu + + +# Here, are a number of customizations that make the game look +# better. We place them down here at the bottom, to make the first few +# lines of the script look better. +# +# These can be deleted without issue, if you do not want them. + +init: + + # Change some styles, to add images in the background of + # the menus and windows. + $ style.mm_root_window.background = Image("mainmenu.jpg") + $ style.gm_root_window.background = Image("gamemenu.jpg") + $ style.window.background = Frame("frame.png", 25, 25) + + # Change the look of the slider. + $ style.bar.left_gutter = 10 + $ style.bar.right_gutter = 12 + $ style.bar.left_bar = Frame("slider_full.png", 10, 0) + $ style.bar.right_bar = Frame("slider_empty.png", 12, 0) + $ style.bar.thumb = Image("slider_idle.png") + $ style.bar.hover_thumb = Image("slider_hover.png") + $ style.bar.thumb_shadow = Image("slider_shadow.png") + $ style.bar.thumb_offset = -10 + + # Change some styles involving the margins and padding of the + # default window. (We need this, as we use a frame image that + # includes a drop-shadow.) + $ style.window.xmargin = 0 + $ style.window.ymargin = 0 + $ style.window.xpadding = 20 + $ style.window.top_padding = 5 + $ style.window.bottom_padding = 15 + + # Interface sounds, just for the heck of it. + $ style.button.activate_sound = 'click.wav' + $ style.imagemap.activate_sound = 'click.wav' + $ library.enter_sound = 'click.wav' + $ library.exit_sound = 'click.wav' + $ library.sample_sound = "18005551212.wav" + + # Select the transitions that are used when entering and exiting + # the game menu. + $ library.enter_transition = pixellate + $ library.exit_transition = pixellate + +# The splashscreen is called, if it exists, before the main menu is +# shown the first time. It is not called if the game has restarted. + +# We'll comment it out for now. +# +# label splashscreen: +# scene black +# show text "American Bishoujo Presents..." with dissolve +# $ renpy.pause(1.0) +# hide text with dissolve +# +# return + + +Return to the tutorial. diff --git a/samples/Stan/congress.stan b/samples/Stan/congress.stan new file mode 100644 index 00000000..6e7408e5 --- /dev/null +++ b/samples/Stan/congress.stan @@ -0,0 +1,14 @@ +data { + int N; + vector[N] incumbency_88; + vector[N] vote_86; + vector[N] vote_88; +} +parameters { + vector[3] beta; + real sigma; +} +model { + vote_88 ~ normal(beta[1] + beta[2] * vote_86 + + beta[3] * incumbency_88,sigma); +} diff --git a/samples/Stan/dogs.stan b/samples/Stan/dogs.stan new file mode 100644 index 00000000..ebca16d7 --- /dev/null +++ b/samples/Stan/dogs.stan @@ -0,0 +1,31 @@ +data { + int n_dogs; + int n_trials; + int y[n_dogs,n_trials]; +} +parameters { + vector[3] beta; +} +transformed parameters { + matrix[n_dogs,n_trials] n_avoid; + matrix[n_dogs,n_trials] n_shock; + matrix[n_dogs,n_trials] p; + + for (j in 1:n_dogs) { + n_avoid[j,1] <- 0; + n_shock[j,1] <- 0; + for (t in 2:n_trials) { + n_avoid[j,t] <- n_avoid[j,t-1] + 1 - y[j,t-1]; + n_shock[j,t] <- n_shock[j,t-1] + y[j,t-1]; + } + for (t in 1:n_trials) + p[j,t] <- beta[1] + beta[2] * n_avoid[j,t] + beta[3] * n_shock[j,t]; + } +} +model { + beta ~ normal(0, 100); + for (i in 1:n_dogs) { + for (j in 1:n_trials) + y[i,j] ~ bernoulli_logit(p[i,j]); + } +} diff --git a/samples/Stan/schools.stan b/samples/Stan/schools.stan new file mode 100644 index 00000000..171864a1 --- /dev/null +++ b/samples/Stan/schools.stan @@ -0,0 +1,26 @@ +data { + int N; + vector[N] y; + vector[N] sigma_y; +} +parameters { + vector[N] eta; + real mu_theta; + real sigma_eta; + real xi; +} +transformed parameters { + real sigma_theta; + vector[N] theta; + + theta <- mu_theta + xi * eta; + sigma_theta <- fabs(xi) / sigma_eta; +} +model { + mu_theta ~ normal(0, 100); + sigma_eta ~ inv_gamma(1, 1); //prior distribution can be changed to uniform + + eta ~ normal(0, sigma_eta); + xi ~ normal(0, 5); + y ~ normal(theta,sigma_y); +} diff --git a/samples/UrWeb/iso8601.ur b/samples/UrWeb/iso8601.ur new file mode 100644 index 00000000..7a6a3809 --- /dev/null +++ b/samples/UrWeb/iso8601.ur @@ -0,0 +1,79 @@ +open Parse.String + +val digit = satisfy isdigit + +val decimal_of_len n = + ds <- count n digit; + return (List.foldl (fn d acc => 10*acc + ((ord d)-(ord #"0"))) 0 ds) + +val date = + y <- decimal_of_len 4; + char' #"-"; + m <- decimal_of_len 2; + char' #"-"; + d <- decimal_of_len 2; + if m > 0 && m <= 12 then + return {Year=y, Month=(Datetime.intToMonth (m-1)), Day=d} + else + fail + +(* We parse fractions of a second, but ignore them since Datetime + doesn't permit representing them. *) +val time = + h <- decimal_of_len 2; + char' #":"; + m <- decimal_of_len 2; + s <- maybe (char' #":"; + s <- decimal_of_len 2; + maybe' (char' #"."; skipWhile isdigit); + return s); + return {Hour=h, Minute=m, Second=Option.get 0 s} + +val timezone_offset = + let val zulu = char' #"Z"; return 0 + val digits = decimal_of_len 2 + val sign = or (char' #"+"; return 1) + (char' #"-"; return (-1)) + in + zulu `or` (s <- sign; + h <- digits; + m <- (maybe' (char' #":"); or digits (return 0)); + return (s*(h*60+m))) + end + +val datetime_with_tz = + d <- date; char' #"T"; t <- time; + tz <- timezone_offset; + return (d ++ t ++ {TZOffsetMinutes=tz}) + +val datetime = + d <- datetime_with_tz; + return (d -- #TZOffsetMinutes) + +fun process v = + case parse (d <- datetime_with_tz; eof; return d) v of + Some r => + let + val {Year=year,Month=month,Day=day, + Hour=hour,Minute=minute,Second=second} = + Datetime.addMinutes (r.TZOffsetMinutes) (r -- #TZOffsetMinutes) + fun pad x = + if x < 10 then "0" `strcat` show x else show x + in + {[pad hour]}:{[pad minute]}:{[pad second]} {[month]} {[day]}, {[year]} + end + | None => none + +fun main () : transaction page = + input <- source "2012-01-01T01:10:42Z"; + return + + +
+ + diff --git a/samples/UrWeb/parse.urs b/samples/UrWeb/parse.urs new file mode 100644 index 00000000..3b2c1ed5 --- /dev/null +++ b/samples/UrWeb/parse.urs @@ -0,0 +1,85 @@ +functor Make(Stream : sig type t end) : sig + con t :: Type -> Type + + val mreturn : a ::: Type -> a -> t a + val mbind : a ::: Type -> b ::: Type -> + (t a) -> (a -> t b) -> (t b) + val monad_parse : monad t + + val parse : a ::: Type -> t a -> Stream.t -> option a + + (** Combinators *) + val fail : a ::: Type -> t a + val or : a ::: Type -> t a -> t a -> t a + val maybe : a ::: Type -> t a -> t (option a) + val maybe' : a ::: Type -> t a -> t unit + val many : a ::: Type -> t a -> t (list a) + val count : a ::: Type -> int -> t a -> t (list a) + val skipMany : a ::: Type -> t a -> t unit + val sepBy : a ::: Type -> s ::: Type -> t a -> t s -> t (list a) +end + +structure String : sig + con t :: Type -> Type + val monad_parse : monad t + + val parse : a ::: Type -> t a -> string -> option a + + (** Combinators *) + val fail : a ::: Type -> t a + val or : a ::: Type -> t a -> t a -> t a + val maybe : a ::: Type -> t a -> t (option a) + val maybe' : a ::: Type -> t a -> t unit + val many : a ::: Type -> t a -> t (list a) + val count : a ::: Type -> int -> t a -> t (list a) + val skipMany : a ::: Type -> t a -> t unit + val sepBy : a ::: Type -> s ::: Type -> t a -> t s -> t (list a) + + val eof : t unit + (* We provide alternative versions of some of these predicates + * that return t unit as a monadic syntactical convenience. *) + val string : string -> t string + val string' : string -> t unit + val stringCI : string -> t string + val stringCI' : string -> t unit + val char : char -> t char + val char' : char -> t unit + val take : int -> t (string*int) + val drop : int -> t unit + val satisfy : (char -> bool) -> t char + val skip : (char -> bool) -> t unit + val skipWhile : (char -> bool) -> t unit + val takeWhile : (char -> bool) -> t (string*int) + val takeWhile' : (char -> bool) -> t string (* conses *) + (* Well, "till" is the correct form; but "til" is in common enough + * usage that I'll prefer it for terseness. *) + val takeTil : (char -> bool) -> t (string*int) + val takeTil' : (char -> bool) -> t string (* conses *) + val takeRest : t string + + (** Convenience functions *) + val skipSpace : t unit + val endOfLine : t unit + val unsigned_int_of_radix : int -> t int + (* + * val signed_int_of_radix : int -> t int + * val double : t float + *) +end + +structure Blob : sig + con t :: Type -> Type + val monad_parse : monad t + + val parse : a ::: Type -> t a -> blob -> option a + + (** Combinators *) + val fail : a ::: Type -> t a + val or : a ::: Type -> t a -> t a -> t a + val maybe : a ::: Type -> t a -> t (option a) + val maybe' : a ::: Type -> t a -> t unit + val many : a ::: Type -> t a -> t (list a) + val count : a ::: Type -> int -> t a -> t (list a) + val skipMany : a ::: Type -> t a -> t unit + val sepBy : a ::: Type -> s ::: Type -> t a -> t s -> t (list a) +end diff --git a/samples/XML/sample.csl b/samples/XML/sample.csl new file mode 100644 index 00000000..7f26fefc --- /dev/null +++ b/samples/XML/sample.csl @@ -0,0 +1,1053 @@ + + diff --git a/script/travis/before_install b/script/travis/before_install index 516ec956..e83b930f 100755 --- a/script/travis/before_install +++ b/script/travis/before_install @@ -5,18 +5,6 @@ set -ex # Fetch all commits/refs needed to run our tests. git fetch origin master:master v2.0.0:v2.0.0 test/attributes:test/attributes test/master:test/master -sudo apt-get update - -script/vendor-deb libicu48 libicu-dev -if ruby -e 'exit RUBY_VERSION >= "2.0" && RUBY_VERSION < "2.1"'; then - # Workaround for https://bugs.ruby-lang.org/issues/8074. We can't use this - # solution on all versions of Ruby due to - # https://github.com/bundler/bundler/pull/3338. - bundle config build.charlock_holmes --with-icu-include=$(pwd)/vendor/debs/include --with-icu-lib=$(pwd)/vendor/debs/lib -else - bundle config build.charlock_holmes --with-icu-dir=$(pwd)/vendor/debs -fi - # Replace SSH links to submodules by HTTPS links. sed -i 's/git@github.com:/https:\/\/github.com\//' .gitmodules diff --git a/script/vendor-deb b/script/vendor-deb deleted file mode 100755 index ebad3e76..00000000 --- a/script/vendor-deb +++ /dev/null @@ -1,13 +0,0 @@ -#!/bin/sh - -set -ex - -cd "$(dirname "$0")/.." - -mkdir -p vendor/apt vendor/debs - -(cd vendor/apt && apt-get --assume-yes download "$@") - -for deb in vendor/apt/*.deb; do - ar p $deb data.tar.gz | tar -vzxC vendor/debs --strip-components=2 -done diff --git a/test/test_grammars.rb b/test/test_grammars.rb index 569da5c9..a2ad1e53 100644 --- a/test/test_grammars.rb +++ b/test/test_grammars.rb @@ -9,7 +9,6 @@ class TestGrammars < Minitest::Test # This grammar has a nonstandard but acceptable license. "vendor/grammars/gap-tmbundle", - "vendor/grammars/factor", # These grammars have no license but have been grandfathered in. New grammars # must have a license that allows redistribution. @@ -81,7 +80,7 @@ class TestGrammars < Minitest::Test end def test_submodules_have_recognized_licenses - unrecognized = submodule_licenses.select { |k,v| v.nil? && Licensee::Project.new(k).license_file } + unrecognized = submodule_licenses.select { |k,v| v.nil? && Licensee::FSProject.new(k).license_file } unrecognized.reject! { |k,v| PROJECT_WHITELIST.include?(k) } message = "The following submodules have unrecognized licenses:\n* #{unrecognized.keys.join("\n* ")}\n" message << "Please ensure that the project's LICENSE file contains the full text of the license." @@ -132,7 +131,7 @@ class TestGrammars < Minitest::Test # Given the path to a submodule, return its SPDX-compliant license key def submodule_license(submodule) # Prefer Licensee to detect a submodule's license - project = Licensee::Project.new(submodule) + project = Licensee::FSProject.new(submodule) return project.license.key if project.license # We know a license file exists, but Licensee wasn't able to detect the license, diff --git a/test/test_language.rb b/test/test_language.rb index 5da3b8c7..5613f235 100644 --- a/test/test_language.rb +++ b/test/test_language.rb @@ -57,6 +57,7 @@ class TestLanguage < Minitest::Test assert_equal Language['Shell'], Language.find_by_alias('sh') assert_equal Language['Shell'], Language.find_by_alias('shell') assert_equal Language['Shell'], Language.find_by_alias('zsh') + assert_equal Language['SuperCollider'], Language.find_by_alias('supercollider') assert_equal Language['TeX'], Language.find_by_alias('tex') assert_equal Language['TypeScript'], Language.find_by_alias('ts') assert_equal Language['VimL'], Language.find_by_alias('vim') @@ -119,6 +120,7 @@ class TestLanguage < Minitest::Test assert_equal 'vim', Language['VimL'].search_term assert_equal 'jsp', Language['Java Server Pages'].search_term assert_equal 'rst', Language['reStructuredText'].search_term + assert_equal 'supercollider', Language['SuperCollider'].search_term end def test_popular @@ -138,6 +140,7 @@ class TestLanguage < Minitest::Test assert_equal :programming, Language['Ruby'].type assert_equal :programming, Language['TypeScript'].type assert_equal :programming, Language['Makefile'].type + assert_equal :programming, Language['SuperCollider'].type end def test_markup @@ -227,7 +230,8 @@ class TestLanguage < Minitest::Test "python" => "Python", "python2" => "Python", "python3" => "Python", - "sbcl" => "Common Lisp" + "sbcl" => "Common Lisp", + "sclang" => "SuperCollider" }.each do |interpreter, language| assert_equal [Language[language]], Language.find_by_interpreter(interpreter) end @@ -339,6 +343,7 @@ class TestLanguage < Minitest::Test assert Language['Perl'].extensions.include?('.pl') assert Language['Python'].extensions.include?('.py') assert Language['Ruby'].extensions.include?('.rb') + assert Language['SuperCollider'].extensions.include?('.scd') end def test_primary_extension @@ -349,6 +354,7 @@ class TestLanguage < Minitest::Test assert_equal '.coffee', Language['CoffeeScript'].primary_extension assert_equal '.t', Language['Turing'].primary_extension assert_equal '.ts', Language['TypeScript'].primary_extension + assert_equal '.sc', Language['SuperCollider'].primary_extension end def test_eql diff --git a/vendor/grammars/AutoHotkey b/vendor/grammars/AutoHotkey index 8a9bb555..77b8f2d7 160000 --- a/vendor/grammars/AutoHotkey +++ b/vendor/grammars/AutoHotkey @@ -1 +1 @@ -Subproject commit 8a9bb5559786af2373261999d14b8909fe6d0c97 +Subproject commit 77b8f2d7857e9251e3a6b9047f3eca5f76f0be43 diff --git a/vendor/grammars/Docker.tmbundle b/vendor/grammars/Docker.tmbundle index 6bb36d82..08585643 160000 --- a/vendor/grammars/Docker.tmbundle +++ b/vendor/grammars/Docker.tmbundle @@ -1 +1 @@ -Subproject commit 6bb36d82623fbf48999f8181d589fa91aa58bb3e +Subproject commit 08585643c0b84eb6f76ef56fbba7183185e65548 diff --git a/vendor/grammars/Elm.tmLanguage b/vendor/grammars/Elm.tmLanguage index f17b1914..ab79692f 160000 --- a/vendor/grammars/Elm.tmLanguage +++ b/vendor/grammars/Elm.tmLanguage @@ -1 +1 @@ -Subproject commit f17b1914dd6447bb5f3168080d3aa8e95d051efb +Subproject commit ab79692fed628c9b08b7d11f21d9288cdf6b4e84 diff --git a/vendor/grammars/FreeMarker.tmbundle b/vendor/grammars/FreeMarker.tmbundle index 6b7b880c..7259485a 160000 --- a/vendor/grammars/FreeMarker.tmbundle +++ b/vendor/grammars/FreeMarker.tmbundle @@ -1 +1 @@ -Subproject commit 6b7b880c533626b8e943ed686007c06771da3b42 +Subproject commit 7259485a01310af4bf63ba4ff37cbba3724ae77f diff --git a/vendor/grammars/InnoSetup b/vendor/grammars/InnoSetup index a7f79fd1..9da37ae6 160000 --- a/vendor/grammars/InnoSetup +++ b/vendor/grammars/InnoSetup @@ -1 +1 @@ -Subproject commit a7f79fd1a530adbcfe8f660eb1b9c48dc3bd5ede +Subproject commit 9da37ae690654daf8a2366cccb5ba1f5bac3acad diff --git a/vendor/grammars/NSIS b/vendor/grammars/NSIS index ea610444..68a4534d 160000 --- a/vendor/grammars/NSIS +++ b/vendor/grammars/NSIS @@ -1 +1 @@ -Subproject commit ea6104445d65ebfd183d6835736f306b1d986b79 +Subproject commit 68a4534dde63a2b3a7b2d100ebb565e0cfebc024 diff --git a/vendor/grammars/NimLime b/vendor/grammars/NimLime index 51118338..4e60e565 160000 --- a/vendor/grammars/NimLime +++ b/vendor/grammars/NimLime @@ -1 +1 @@ -Subproject commit 5111833868d63c7a35e6e9f0aa443e0d1832db7a +Subproject commit 4e60e5657fcddde6bf8b4bce0030ecb3154e7dfa diff --git a/vendor/grammars/Stata.tmbundle b/vendor/grammars/Stata.tmbundle index bc1e3634..50685c27 160000 --- a/vendor/grammars/Stata.tmbundle +++ b/vendor/grammars/Stata.tmbundle @@ -1 +1 @@ -Subproject commit bc1e36344d4d7aa0d9c53757639d3f56511565e7 +Subproject commit 50685c273588cf6bd4828cb30432c7152df91c4e diff --git a/vendor/grammars/Sublime-Text-2-OpenEdge-ABL b/vendor/grammars/Sublime-Text-2-OpenEdge-ABL index dd14b342..c8306314 160000 --- a/vendor/grammars/Sublime-Text-2-OpenEdge-ABL +++ b/vendor/grammars/Sublime-Text-2-OpenEdge-ABL @@ -1 +1 @@ -Subproject commit dd14b342cb436cde41752df6a014588110b9c1c0 +Subproject commit c830631431612b1ec2d8f7335205e65540a68115 diff --git a/vendor/grammars/SublimeClarion b/vendor/grammars/SublimeClarion index f070aadd..5823e7f4 160000 --- a/vendor/grammars/SublimeClarion +++ b/vendor/grammars/SublimeClarion @@ -1 +1 @@ -Subproject commit f070aadd26c5376be522bd0c9a135ff85bb76f13 +Subproject commit 5823e7f44704eabb08673a7e32b48836141a1f8e diff --git a/vendor/grammars/UrWeb-Language-Definition b/vendor/grammars/UrWeb-Language-Definition new file mode 160000 index 00000000..cd47cc78 --- /dev/null +++ b/vendor/grammars/UrWeb-Language-Definition @@ -0,0 +1 @@ +Subproject commit cd47cc78918244b9cc36f57f5397a97a5affce4e diff --git a/vendor/grammars/abap.tmbundle b/vendor/grammars/abap.tmbundle index 8ab33a89..5b7e30fd 160000 --- a/vendor/grammars/abap.tmbundle +++ b/vendor/grammars/abap.tmbundle @@ -1 +1 @@ -Subproject commit 8ab33a89780139f8ceb37cc412c30cef2f206a49 +Subproject commit 5b7e30fd8fb4bcaa78c14aaabebe98dda8ab7bbf diff --git a/vendor/grammars/atom-fsharp b/vendor/grammars/atom-fsharp index 7051d65d..500cdb5f 160000 --- a/vendor/grammars/atom-fsharp +++ b/vendor/grammars/atom-fsharp @@ -1 +1 @@ -Subproject commit 7051d65d639ee209533354097a4b31e4f097d37d +Subproject commit 500cdb5f045ff6a121fa2732bbd56c4da18bdae1 diff --git a/vendor/grammars/atom-language-purescript b/vendor/grammars/atom-language-purescript index 5fd5b646..bd2b59f1 160000 --- a/vendor/grammars/atom-language-purescript +++ b/vendor/grammars/atom-language-purescript @@ -1 +1 @@ -Subproject commit 5fd5b6460e906045625fb5bbe7644425c73a3798 +Subproject commit bd2b59f14eb4bd3b1f6d53eee959d7a6b523c073 diff --git a/vendor/grammars/atom-language-stan b/vendor/grammars/atom-language-stan new file mode 160000 index 00000000..72c626ae --- /dev/null +++ b/vendor/grammars/atom-language-stan @@ -0,0 +1 @@ +Subproject commit 72c626ae96792809447ed4b4e20b8792025b7b95 diff --git a/vendor/grammars/carto-atom b/vendor/grammars/carto-atom index 98959093..08a80dc5 160000 --- a/vendor/grammars/carto-atom +++ b/vendor/grammars/carto-atom @@ -1 +1 @@ -Subproject commit 989590932359d32462c4904c5a71180aeda409d2 +Subproject commit 08a80dc54a9ca44c82e406e4f36cfbc8d7afa6f6 diff --git a/vendor/grammars/cmake.tmbundle b/vendor/grammars/cmake.tmbundle index 926867a4..1421c6ba 160000 --- a/vendor/grammars/cmake.tmbundle +++ b/vendor/grammars/cmake.tmbundle @@ -1 +1 @@ -Subproject commit 926867a414c1125abefa38161d82d71756f591a2 +Subproject commit 1421c6ba47ba697742d615e92852cfe106e0879e diff --git a/vendor/grammars/elixir-tmbundle b/vendor/grammars/elixir-tmbundle index 46514e8f..4b502e43 160000 --- a/vendor/grammars/elixir-tmbundle +++ b/vendor/grammars/elixir-tmbundle @@ -1 +1 @@ -Subproject commit 46514e8f9f30c47f7867fd8d0019c554154ce89c +Subproject commit 4b502e436d150f6af97b085a763179941b3c3778 diff --git a/vendor/grammars/factor b/vendor/grammars/factor index 9b5cb445..9d956025 160000 --- a/vendor/grammars/factor +++ b/vendor/grammars/factor @@ -1 +1 @@ -Subproject commit 9b5cb445ee65d70d6b16bd65abb979f932441b93 +Subproject commit 9d95602591cf231a3f2332269d81d60068d1aa76 diff --git a/vendor/grammars/fancy-tmbundle b/vendor/grammars/fancy-tmbundle index d48b6100..c9cdcd61 160000 --- a/vendor/grammars/fancy-tmbundle +++ b/vendor/grammars/fancy-tmbundle @@ -1 +1 @@ -Subproject commit d48b6100cc64621f68d4d59241e8d442fb9fcdff +Subproject commit c9cdcd61f52b2a20d7f4575ec5e6b17b83aa9d64 diff --git a/vendor/grammars/haskell.tmbundle b/vendor/grammars/haskell.tmbundle index c3137ccc..df3d5427 160000 --- a/vendor/grammars/haskell.tmbundle +++ b/vendor/grammars/haskell.tmbundle @@ -1 +1 @@ -Subproject commit c3137ccc287c096f6436a80d71b32348df1102cc +Subproject commit df3d54278a3ab3cfb30c37d94e06587478cc79ad diff --git a/vendor/grammars/html.tmbundle b/vendor/grammars/html.tmbundle index 181a15de..a0bc0c47 160000 --- a/vendor/grammars/html.tmbundle +++ b/vendor/grammars/html.tmbundle @@ -1 +1 @@ -Subproject commit 181a15de244eb30f3d4df645dc1de38a7a420279 +Subproject commit a0bc0c479bde0d46bfec863f3262c06e768eec2d diff --git a/vendor/grammars/jade-tmbundle b/vendor/grammars/jade-tmbundle index fea35b58..d27b61d1 160000 --- a/vendor/grammars/jade-tmbundle +++ b/vendor/grammars/jade-tmbundle @@ -1 +1 @@ -Subproject commit fea35b58dca320d1d7940948162b7fd3fa9a1b1d +Subproject commit d27b61d1780ff594b43d9ad04a9e896ea92b393b diff --git a/vendor/grammars/json.tmbundle b/vendor/grammars/json.tmbundle index 4100e5b0..06b38d55 160000 --- a/vendor/grammars/json.tmbundle +++ b/vendor/grammars/json.tmbundle @@ -1 +1 @@ -Subproject commit 4100e5b0162b3df7984b3b5532529b8ea78cbaa0 +Subproject commit 06b38d55326363b63c26943c6e0213988180dbca diff --git a/vendor/grammars/language-babel b/vendor/grammars/language-babel index 44ff68da..4b0e9658 160000 --- a/vendor/grammars/language-babel +++ b/vendor/grammars/language-babel @@ -1 +1 @@ -Subproject commit 44ff68da9ee1df3710513d3b4de21f46ec6d0ed0 +Subproject commit 4b0e9658e0a8bab71983ea5941f99b552cf00848 diff --git a/vendor/grammars/language-click b/vendor/grammars/language-click new file mode 160000 index 00000000..1ee1fe01 --- /dev/null +++ b/vendor/grammars/language-click @@ -0,0 +1 @@ +Subproject commit 1ee1fe012be44973488d9f6666376ab72dbb024a diff --git a/vendor/grammars/language-clojure b/vendor/grammars/language-clojure index 3173abe9..12b73d41 160000 --- a/vendor/grammars/language-clojure +++ b/vendor/grammars/language-clojure @@ -1 +1 @@ -Subproject commit 3173abe9956a597944468fcef7b877b017149d50 +Subproject commit 12b73d41a0e0437b4899f73c5ac65caad74ac2c1 diff --git a/vendor/grammars/language-coffee-script b/vendor/grammars/language-coffee-script index 0eeace01..afa4f6f1 160000 --- a/vendor/grammars/language-coffee-script +++ b/vendor/grammars/language-coffee-script @@ -1 +1 @@ -Subproject commit 0eeace014be887846eab5e3a39581ef4d705dd15 +Subproject commit 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