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Daniel Fried

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	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8"/>
	<meta name="viewport" contents="width=device-width, initial-scale=1.0" />
	<title>InCoder</title>
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script>
	<script src="https://cdn.jsdelivr.net/npm/js-base64@3.7.2/base64.min.js"></script>

	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/ace.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-plain_text.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-c_cpp.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-csharp.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-clojure.min.js"></script>
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	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-objectivec.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-perl.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-php.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-python.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-ruby.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-rust.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-scala.min.js"></script>
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	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-swift.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.14/mode-typescript.min.js"></script>
	<link rel="stylesheet" href="static/style.css">
	</head>
	<style type="text/css">
	/* body {
	font-family: sans-serif;
	} */
	/* .leftside {
	} */
	main {
	max-width: 80rem;
	}
	.rightside {
	width: 30em;
	}
	.submit-holder {
	margin-top: 2em;
	}
	.submit input {
	font-size: 16pt;
	}
	.slider {
	width: 20em;
	}
	#faq {
	max-width: 60em;
	}
	#result {
	font-family: monospace;
	white-space: pre-wrap;
	word-wrap: break-word;
	font-size: 12pt;
	clear: both;
	margin-top: 1em;
	border: 1px solid black;
	padding: 1em;
	width: 60em;
	min-height: 12em;
	}
	#prompt {
	font-weight: bold;
	}
	.loader {
	border: 4px solid #f3f3f3;
	border-radius: 50%;
	border-top: 4px solid #3498db;
	width: 30px;
	height: 30px;
	animation: spin 2s linear infinite;
	margin-right: 1em;
	}
	@keyframes spin {
	0% { transform: rotate(0deg); }
	100% { transform: rotate(360deg); }
	}
	#loader_holder {
	visibility: hidden;
	display: flex;
	align-items: center;
	}

	label {
	margin-top: 1em;
	display: inline-elock;
	width: 10em;
	text-align: right;
	font-size: 80%;
	}
	#loader_holder_super {
	}
	#error {
	color: red;
	width: 100%;
	}
	#warning {
	color: darkorange;
	width: 100%;
	}
	#examples span {
	margin-right: 1em;
	}
	#editor {
	position: relative;
	width: 100%;
	height: 400px;
	}
	#editor-holder {
	position: relative;
	width: 100%;
	height: 400px;
	}
	.ace_infill {
	color: red;
	}
	</style>
	<body>
	<main>
	<div class="card" id="about">
	<div class="header"> <h1>InCoder: A Generative Model for Code Infilling and Synthesis</h1> </div>
	<p>Demo of the 6.7B parameter version of InCoder: a decoder-only Transformer model that can both extend and insert/infill code.</p>
	<p>Select one of the examples below, or input your own code into the editor. You can type <infill> to mark a location you want the model to insert code at.</p>
	<p>Click "Extend" to append text at the end of the editor. Click "Infill" to replace all <infill> masks. (Click "Add <infill> mask" to add a mask at the cursor or replace the current selection.) </p>
	</div>
	<div class="card" id="examples">
	<div id="examples-infill">
	<span class="softspan">Infill Examples:</span>
	<br>
	<span class="softspan"><a href='javascript:select_example("type-pred");'>Type prediction</a></span>
	<span class="softspan"><a href='javascript:select_example("multi-region");'>Docstring to function</a></span>
	<span class="softspan"><a href='javascript:select_example("docstring-2");'>Function to docstring</a></span>
	<!--
	<span class="softspan"><a href='javascript:select_example("python-infill2");'>Docstring to function</a></span>
	-->
	<span class="softspan"><a href='javascript:select_example("class");'>Class generation</a></span>
	</div>
	<div id="examples-extend">
	<span class="softspan">Extend Examples:</span>
	<br>
	<span class="softspan"><a href='javascript:select_example("python");'>Python</a></span>
	<span class="softspan"><a href='javascript:select_example("javascript");'>JavaScript</a></span>
	<span class="softspan"><a href='javascript:select_example("jupyter");'>Jupyter</a></span>
	<span class="softspan"><a href='javascript:select_example("stackoverflow");'>StackOverflow</a></span>
	<span class="softspan"><a href='javascript:select_example("metadata-conditioning");'>Metadata Conditioning</a></span>
	<span class="softspan"><a href='javascript:select_example("metadata-prediction");'>Metadata Prediction</a></span>
	</div>
	</div>
	<div class="card" id="controls">
	<div>
	<label>Num Tokens:</label>
	<input type="range" value="64" min="16" max="256" step="16" class="slider"
	oninput="this.nextElementSibling.value = this.value" name="length" id='length_slider'>
	<output class='a' id="length_slider_output">64</output>
	</div>
	<div>
	<label>Temperature:</label>
	<input type="range" value="0.6" min="0.1" max="1.0" step="0.10" class="slider"
	oninput="this.nextElementSibling.value = this.value" name="temp" id='temp_slider'>
	<output class='a' id="temp_slider_output">0.6</output>
	</div>
	<div id="buttons">
	<br>
	<input type="button" value="Extend" id="extend-form-button" />
	<input type="button" value="Infill" id="infill-form-button" />
	<br>
	<br>
	<input type="button" value="Add <infill> mask" id="insert-mask-button" title="add the infill marker at cursor or selection" />
	</div>
	</div>
	<div id="edit-container" class="card">
	<div id="syntax">
	<span class="softspan">Syntax:</span>
	<select name="mode" id="mode">
	<option value="text">Text</option>
	<option value="c_cpp">C/C++</option>
	<option value="csharp">C#</option>
	<option value="clojure">Clojure</option>
	<option value="coffee">CoffeeScript</option>
	<option value="golang">Go</option>
	<option value="haskell">Haskell</option>
	<option value="java">Java</option>
	<option value="javascript">JavaScript</option>
	<option value="lua">Lua</option>
	<option value="objectivec">Objective C</option>
	<option value="perl">Perl</option>
	<option value="php">PHP</option>
	<option value="python">Python</option>
	<option value="ruby">Ruby</option>
	<option value="rust">Rust</option>
	<option value="scala">Scala</option>
	<option value="sh">Shell</option>
	<option value="swift">Swift</option>
	<option value="typescript">Typescript</option>
	</select>
	</div>
	<div id="editor"></div>
	</div>
	<div id="loader_holder_super" class="card">
	<h1>Messages</h1>
	<div id="error"></div>
	<div id="warning"></div>
	<div id="loader_holder">
	<div class="loader"></div>
	<div>
	Generation queued, please wait...
	</div>
	</div>
	</div>
	<div id="info" class="card">
	<h1 id="debug-info">More Info</h3>
	<p>
	See <a href="https://sites.google.com/view/incoder-code-models" target="_blank" rel="noopener noreferrer">our project site</a> for more information on
	these models, including a paper and examples.
	</p>

	<p>
	For instructions on setting up and using the models (via HuggingFace transformers), see
	<a href="https://github.com/dpfried/incoder/blob/main/README.md" target="_blank" rel="noopener noreferrer">our readme</a>.
	</p>

	<h1 id="debug-info">Credits</h3>
	<p>This model was developed at Facebook AI Research by Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong,
	Wen-tau Yih, Luke Zettlemoyer, and Mike Lewis.</p>
	<p>Thanks to Naman Goyal and Stephen Roller for writing the code this demo was based on. Extensions by Daniel Fried and
	Sida Wang.</p>
	</div>
	</main>
	<script type="text/javascript">
	// these constants are only used for providing user expectations.
	var OVERHEAD = 3;
	var PER_TOKEN = 0.12;
	var SPLIT_TOKEN = "<infill>"

	var Range = require("ace/range").Range;

	// examples for the user
	var EXAMPLES = {
	"python-infill2": {
	"prompt":
	`<\| file ext=.py \|>
	from collections import Counter

	def <infill>
	"""Count the number of occurrences of each word in the file."""
	<infill>
	`,
	"length": 64,
	"temperature": 0.2,
	"mode": "python"
	},
	"multi-region": {
	"prompt":
	`<\| file ext=.py \|>
	<infill>
	""" Load the given gzip jsonl file. """
	<infill>
	`,
	"length": 64,
	"temperature": 0.2,
	"mode": "python"
	},
	"type-pred": {
	"prompt":
	`def count_words(filename: str) -> <infill>
	"""Count the number of occurrences of each word in the file."""
	with open(filename, 'r') as f:
	word_counts = {}
	for line in f:
	for word in line.split():
	if word in word_counts:
	word_counts[word] = 1
	else:
	word_counts[word] = 1
	return word_counts
	`,
	"length": 4,
	"temperature": 0.2,
	"mode": "python"
	},
	"docstring-2": {
	"prompt":
	`def _minimize_in_graph(build_loss_fn, num_steps=200, optimizer=None):
	"""
	<infill>
	"""
	optimizer = tf.compat.v1.train.AdamOptimizer(
	0.1) if optimizer is None else optimizer

	def train_loop_body(step):
	train_op = optimizer.minimize(
	build_loss_fn if tf.executing_eagerly() else build_loss_fn())
	return tf.tuple(tensors=[tf.add(step, 1)], control_inputs=[train_op])

	minimize_op = tf.compat.v1.while_loop(
	cond=lambda step: step < num_steps,
	body=train_loop_body,
	loop_vars=[tf.constant(0)],
	return_same_structure=True)[0]
	return minimize_op`,
	"length": 64,
	"temperature": 0.3,
	"mode": "python",
	},
	"docstring": {
	"prompt":
	`<\| file ext=.py \|>

	def count_words(filename: str) -> Dict[str, int]:
	"""<infill>
	"""
	with open(filename, 'r') as f:
	word_counts = {}
	for line in f:
	for word in line.split():
	if word in word_counts:
	word_counts[word] = 1
	else:
	word_counts[word] = 1
	return word_counts
	`,
	"length": 32,
	"temperature": 0.2,
	"mode": "python"
	},
	"python": {
	"prompt":
	`<\| file ext=.py \|>
	def count_words(filename):
	"""Count the number of occurrences of each word in the file"""`,
	"length": 64,
	"temperature": 0.6,
	"mode": "python"
	},
	"class": {
	"prompt": "<\| file ext=.py \|>\nclass Person:\n" + SPLIT_TOKEN + "\np = Person('Eren', 18, 'Male')",
	"length": 64,
	"temperature": 0.2,
	"mode": "python"
	},
	"javascript": {
	"prompt": "// fetch from the given URL and load the response contents into a new div",
	"length": 64,
	"temperature": 0.6,
	"mode": "javascript"
	},
	"jupyter": {
	"prompt": "<\| file ext=.ipynb:python \|>\n<text>\nThis notebook demonstrates using scikit-learn to perform PCA.\n</text>\n<cell>",
	"length": 64,
	"temperature": 0.6,
	"mode": "python"
	},
	"stackoverflow": {
	"prompt": "<\| q tags=regex,html \|>\nParsing HTML with regular expressions\nHow do I do this? Is it a good idea?\n<\|/ q dscore=3 \|>\n<\| a dscore=4 \|>",
	"length": 64,
	"temperature": 0.6,
	"mode": "text"
	},
	"metadata-conditioning": {
	"prompt": "<\| file ext=.py filename=train_model.py source=github dstars=4 \|>\n",
	"length": 64,
	"temperature": 0.6,
	"mode": "python"
	},
	"metadata-prediction": {
	"prompt": "<\| file source=github ext=.py \|>\nfrom setuptools import setup\nfrom setuptools_rust import Binding, RustExtension\n\nextras = {}\nextras[\"testing\"] = [\"pytest\", \"requests\", \"numpy\", \"datasets\"]\nextras[\"docs\"] = [\"sphinx\", \"sphinx_rtd_theme\", \"setuptools_rust\"]\n\nsetup(\n name=\"tokenizers\",\n version=\"0.11\",\n description=\"Fast and Customizable Tokenizers\",\n long_description=open(\"README.md\", \"r\", encoding=\"utf-8\").read(),\n)\n\n<\|/ file filename=",
	"length": 1,
	"temperature": 0.2,
	"mode": "python"
	},
	"humaneval": {
	"prompt": "from typing import List, Optional\n\n\ndef longest(strings: List[str]) -> Optional[str]:\n \"\"\" Out of list of strings, return the longest one. Return the first one in case of multiple\n strings of the same length. Return None in case the input list is empty.\n >>> longest([])\n\n >>> longest(['a', 'b', 'c'])\n 'a'\n >>> longest(['a', 'bb', 'ccc'])\n 'ccc'\n \"\"\"\n",
	"temperature": 0.6,
	"length": 64,
	"mode": "python"
	},
	};

	var editor = ace.edit("editor");
	editor.setOption("wrap", true);
	//var editor = null;

	function set_editor_mode(mode) {
	session = editor.session
	session.setMode("ace/mode/" + mode, function() {
	var rules = session.$mode.$highlightRules.getRules();
	for (var stateName in rules) {
	if (Object.prototype.hasOwnProperty.call(rules, stateName)) {
	rules[stateName].unshift({
	token: 'infill',
	regex: SPLIT_TOKEN
	});
	}
	}
	// force recreation of tokenizer
	session.$mode.$tokenizer = null;
	session.bgTokenizer.setTokenizer(session.$mode.getTokenizer());
	// force re-highlight whole document
	session.bgTokenizer.start(0);
	});
	}

	/*
	var textarea = $('textarea[name="prompt"]').hide();
	var prefix_textarea = $('textarea[name="prefix"]').hide();
	var suffix_textarea = $('textarea[name="suffix"]').hide();
	editor.getSession().on('change', function () {
	textarea.val(editor.getSession().getValue());
	});
	*/

	function set_text(text) {
	editor.getSession().setValue(text);
	// textarea.val(text);
	}

	function set_selection(data) {
	var lines = editor.getSession().doc.$lines;
	var lines_flat = join_lines(lines);
	if (data['type'] == 'generate') {
	doc_length = lines_flat.length;
	var start = convert_string_index_to_location(data['prompt'].length, lines);
	var end = convert_string_index_to_location(doc_length, lines);
	// reverse this so that we can shift select to shorten and delete extra stuff
	editor.selection.setRange(new Range(end.row, end.column, start.row, start.column));
	} else if (data['type'] == 'infill') {
	var length_so_far = 0;
	for (var i = 0; i < data['infills'].length; i++) {
	var prefix = data['parts'][i];
	var suffix = data['parts'][i+1];
	var infilled = data['infills'][i];
	var start = convert_string_index_to_location(length_so_far + prefix.length, lines);
	var end = convert_string_index_to_location(length_so_far + (prefix + infilled).length, lines);
	var range = null;
	if (data['infills'].length == 1) {
	range = new Range(end.row, end.column, start.row, start.column)
	} else {
	range = new Range(start.row, start.column, end.row, end.column)
	}
	if (i == 0) {
	editor.selection.setRange(range);
	} else {
	editor.selection.addRange(range);
	}
	length_so_far += (prefix + infilled).length;
	}
	}
	editor.focus();
	}

	function select_example(name) {
	$("#length_slider").val(EXAMPLES[name]["length"]);
	$("#length_slider_output").text(EXAMPLES[name]["length"]);
	$("#temp_slider").val(EXAMPLES[name]["temperature"]);
	$("#temp_slider_output").text(EXAMPLES[name]["temperature"]);
	set_text(EXAMPLES[name]["prompt"])
	var mode = EXAMPLES[name]["mode"];

	set_editor_mode(mode);
	$("#mode").val(mode).change();
	}

	function newline_character() {
	return editor.getSession().doc.getNewLineCharacter();
	}

	function join_lines(lines) {
	return lines.join(newline_character());
	}

	function get_prefix(location, lines) {
	if (!(location.hasOwnProperty('row') && location.hasOwnProperty('column'))) {
	console.error("invalid location " + location);
	}
	if (location.row == 0) {
	return lines[location.row].substring(0, location.column);
	} else {
	return join_lines(lines.slice(0, location.row)) + newline_character() + lines[location.row].substring(0, location.column);
	}
	}

	function convert_location_to_string_index(location, lines) {
	return get_prefix(location, lines).length;
	}

	function convert_string_index_to_location(string_index, lines) {
	var column = 0;
	var row = 0;
	var char_count = 0;
	var line_sep_length = editor.getSession().doc.getNewLineCharacter().length;
	for (var i = 0; i < lines.length; i++) {
	var line = lines[i];
	var new_char_count = char_count + line.length + line_sep_length;
	if (string_index < new_char_count) {
	return {
	'row': i,
	'column': string_index - char_count,
	}
	}
	char_count = new_char_count;
	}
	console.error("did not find index " + string_index + " in lines " + lines);
	return null;
	}

	function get_infill_parts(warn_on_single) {
	var lines = editor.getSession().doc.$lines;
	var lines_flat = join_lines(lines);
	parts = lines_flat.split(SPLIT_TOKEN)
	if (warn_on_single && parts.length == 1) {
	window.alert('There are no infill masks, add some <infill> masks before requesting an infill')
	}
	return parts
	}

	function insert_mask() {
	if (editor.selection.ranges.length > 1) {
	for (var i = 0; i < editor.selection.ranges.length; i++) {
	console.log('range is', editor.selection.ranges[i])
	editor.session.replace(editor.selection.ranges[i], SPLIT_TOKEN)
	}
	} else {
	editor.session.replace(editor.selection.getRange(), SPLIT_TOKEN)
	}
	}


	function make_generate_listener(url) {
	return async function(event) {
	var length = $("#length_slider").val();
	var eta = PER_TOKEN * length + OVERHEAD;
	// $("#eta").text(eta);
	// $("#infill-form-button").click(function (event) { console.log(editor.selection.getCursor()); });

	// get temperature and response length parameters
	var send_data = {
	length: $("#length_slider").val(),
	temperature: $("#temp_slider").val(),
	extra_sentinel: $('#extra_sentinel_checkbox').is(":checked"),
	max_retries: $('#max_retries_slider').val(),
	parts: get_infill_parts(url == "infill"),
	prompt: editor.getSession().getValue(),
	}
	console.log("send_data:");
	console.log(send_data);

	$("#loader_holder").css("visibility", "visible");
	$("#extend-form-button").prop("disabled", true);
	$("#infill-form-button").prop("disabled", true);
	$("#error").text("");

	function complete() {
	$("#loader_holder").css("visibility", "hidden");
	$("#extend-form-button").prop("disabled", false);
	$("#infill-form-button").prop("disabled", false);
	}

	function success(receive_data) {
	console.log("Response:");
	console.log(receive_data);
	if (receive_data["result"] == "success") {
	console.log("success");
	// $("#prompt").text(data["prompt"]);
	// $("#response").text(data["text"]);
	set_text(receive_data["text"]);
	set_selection(receive_data);
	$("#error").text("");
	if (receive_data["message"] != "") {
	$("#warning").text(receive_data["message"]);
	} else {
	$("#warning").text("");
	}
	} else {
	console.log("error");
	set_text(receive_data["text"])
	$("#error").text(receive_data["message"]);
	}
	}

	function error(err) {
	console.log(err);
	$("#error").text(err);
	}

	try {
	var stringified = JSON.stringify(send_data);
	// var encoded_data = encodeURIComponent(btoa(stringified));
	var encoded_data = Base64.encodeURI(stringified);

	const response = await fetch(`${url}?info=${encoded_data}`);
	// const response = await fetch(`${url}` {
	// method: 'GET',
	// body: encoded_data,
	// });
	if (response.status >= 400) {
	error(response.statusText);
	console.log("here");
	console.log(response.status);
	} else {
	response.json().then(success).catch(error).finally(complete);
	}
	} catch (e) {
	error(e);
	} finally {
	complete();
	}
	}
	}

	// actual logic
	$(document).ready(function() {
	$("#insert-mask-button").click(insert_mask);
	$("#extend-form-button").click(make_generate_listener("generate"));
	$("#infill-form-button").click(make_generate_listener("infill"));
	$("#mode").change(function (e) {
	var mode = $("#mode").val();
	set_editor_mode(mode);
	});
	select_example("python")
	// set_editor_mode("python");
	});
	</script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.2/iframeResizer.contentWindow.min.js"></script>
	</body>
	</html>