Convert Turing machine to the source code of an industrial programming language?

Are there any methods for converting a Turing machine (eg, a Turing neural machine or another rigorous Turing machine) into the source code / program that is written in an industrial programming language such as C ++, Java, JavaScript is written? There is a lot of work to learn about Turing machine synthesis, but it is very important to translate such derived results into programming languages. One should be able to engage in meta-interpretive learning that allows one to infer new predicates / functions and use compositionality for the program's synthesis.

Is my XML parsing code good enough? Android / Java

So I have an app that parses XMLTV files into a TV Guide list. The file is quite large (35 MB) and contains a lot of information. At the moment, it takes about 20 to 30 seconds to completely parse the file. What is way too much, any ideas on how to improve it?

    while (event != XmlPullParser.END_DOCUMENT)  {
        String name= parser.getName();

        switch (event) {
            case XmlPullParser.START_TAG:
                if (name.equals("programme")) {
                    data.addTempStart(parser.getAttributeValue(null, "start"));
                    data.addTempEnd(parser.getAttributeValue(null, "stop"));
                    data.setChannel_id(parser.getAttributeValue(null, "channel"));
                }else if (name.equals("title")) {
                    if (parser.next() == XmlPullParser.TEXT) {
                        data.addTitle(parser.getText());
                        parser.nextTag();
                    }
                }else if (name.equals("desc")){
                    if (parser.next() == XmlPullParser.TEXT) {
                        data.addDescription(parser.getText());
                        parser.nextTag();
                    }
                }
                break;

            case XmlPullParser.END_TAG:
                if (name.equals("programme")){
                    mEpgDataList.add(data);
                break;
        }
        event = parser.next();
    }

Networking – How can I create a Hashcat mask for phone numbers in my area code?

I'm trying to find my own Wi-Fi password in a Hashcat Hccapx file, and I can not figure out how to create a mask to find it.
I have created a mask file that contains the following

123$d$d$d$d$d$d$d
124$d$d$d$d$d$d$d

and I try to do it with `

hashcat -a 3 -m 2500 '~/Desktop/hash.hccapx' '/usr/share/hashcat/mask/phone_numbers.hcmask` 

and I only run it for 10 seconds and obviously no results.

I am clearly missing something.
What is it?

Javascript Tree Class – Code checking stack exchange

I got caught in the trap of implementing my own data structure. I'm mainly looking for advice on how to make this code more idiomatic, but also about features that may be missing in this class or that are not required. I also want to think about how idiomatic the traverse function is and if there is a better way to implement it.

function Node(value = 0, children = ()) {
    this.value = value;
    this.children = children;
    this.parent = undefined;
}

Node.from = function(node) {
    let that = Object.assign(new Node(), node);
    that.parent = undefined;
    that.children = node.children.map(n => (Node.from(n), n.parent = that));
    return that;
};

Node.prototype.add = function(...children) {
    for (child of children) {
        child.parent = this;
        this.children.push(child);
    }
};

Node.Traversal = {
    BreadthFirst: 1,
    DepthFirst: 2
};

Node.prototype.traverse = function(callback, mode = Node.Traversal.BreadthFirst) {
    if (mode == Node.Traversal.BreadthFirst) {
        let nodes = (this);
        while (nodes.length > 0) {
            const current = nodes.shift();
            callback(current);
            nodes = nodes.concat(current.children);
        }
    } else if (mode == Node.Traversal.DepthFirst) {
        callback(this);
        this.children.forEach(n => n.traverse(callback, false));
    }
    return this;
};

Node.prototype.reduce = function(callback, initial, mode) {
    let acc = initial;
    this.traverse(n => acc = callback(acc, n), mode);
    return acc;
};

Node.prototype.every = function(callback) {
    return this.reduce((a, n) => a && callback(n), true);
};

Node.prototype.some = function(callback) {
    return this.reduce((a, n) => a || callback(n), false);
};

Node.prototype.find = function(callback, mode) {
    return this.reduce((a, n) => a || (callback(n)? n: false), false, mode);
};

Node.prototype.includes = function(value) {
    return this.some(n => n.value === value);
};