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Description

Denigma is an online service that uses AI to read and explain code in understandable English. It helps software professionals understand unfamiliar programming constructs, with sample explanations provided. It is available for free or with a paid plan on their website, which receives around 50,000 monthly visits.

Examples

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Explain Code

#1
inputs

import tensorflow as tf

@wrap_objective

def l2(batch=None):

 def inner(T):

  return -tf.reduce_mean((T("input") - 0.5)**2)

 return inner

outputs
  • The code is a function that takes in an input tensor and returns the squared difference between it and 0.5.

  • The code is written to take in a batch size, which defaults to None.

  • The code is used to calculate the L2 norm of a batch of data.
  • This code calculates the L2 norm for each sample in a batch, and then returns the average value across all samples.
#2
inputs

export const getTodoData = () => {

  let msg=request.get(

  'https://hello-cloudbase.service.base.com/todo-demo/v1.0/xxx',

   {

    "query": {

     "account": { "$eq": "super" },

    },

   })

  .then((response) => {

   initialToContext = {

    myTodo: response.data.map((item: any) => {

     let { _id, title, completed }: ITodoItem = item;

     let todoItme: ITodoItem = {

      _id: _id,

      title: title,

      completed: completed

     }

     return todoItme

    })

   }

   return { msg: 'success', data: initialToContext.myTodo }

  })

  .catch((error) => {

   return { msg: 'error', data: [] }

  });

 return msg

}

outputs
  • The code starts by making a request to the URL 'https://hello-cloudbase.service.base.com/todo-demo/v1.0/xxx .
  • The code then sets up the initialToContext object that is passed in as the first argument of the callback function when we make our request, and it will be returned after we get back from our server with data about what was requested (in this case, just one item).
  • The next line of code makes a call to the function sendRequest() which sends out a POST request for all items in myTodo, and returns "success" if successful, or "error" if not successful.

The code does the following:

  • It uses a service that sends back data from the backend to your application via HTTP.

  • The code is requesting for the current state of all to-do items in your account with an ID of "xxx".
  • If there are no errors, it will return a success message and an object containing information about each item requested (title, completed).
#3
inputs

void pmm_init(struct stivale2_struct *stivale2_struct) {

  struct stivale2_struct_tag_memmap *mmap = stivale2_get_tag(stivale2_struct, STIVALE2_STRUCT_TAG_MEMMAP_ID);

  uptr end = 0;

  for (usiz i = 0; i < mmap->entries; i++) { // find end

    struct stivale2_mmap_entry *m = &mmap->memmap[i]; uptr top = m->base + m->length;

    if (m->type == STIVALE2_MMAP_USABLE && (top > end)) end = m->base + m->length;

  }

  usiz bitmap_siz = alignup_po2(end / (4096 * 8), 4096); uptr bitmap_base = 0;

  for (usiz i = 0; i < mmap->entries; i++) { // place in the first region big enough to hold the bitmap

    struct stivale2_mmap_entry *m = &mmap->memmap[i];

    if (m->type == STIVALE2_MMAP_USABLE && (m->length > bitmap_siz)) {

      bitmap_base = m->base, m->base += bitmap_siz; break;

    }

  }

  u8 bitmap = MAP_HIGHERHALF(u8, bitmap_base);

  memset(bitmap, 0xFF, bitmap_siz); // mark all as used

  for (usiz i = 0; i < mmap->entries; i++) { // mark usable regions as free

    struct stivale2_mmap_entry *m = &mmap->memmap[i];

    if (m->type == STIVALE2_MMAP_USABLE) {

      usiz bytelen = m->length / (4096 * 8);

      memset(bitmap, 0, bytelen);

      u8 bitlen = (m->length / 4096) % 8, *byte = bitmap+bytelen;

      for (u8 i = 0; i < bitlen; i++) *byte &= ~(1 << i);

    }

}

outputs

The code starts by finding the end of the memory map.

It then iterates through all entries in the memory map and finds if there is a usable region that can be used to store a bitmap.

If so, it stores the base address of this region as well as how much space is needed for storing the bitmap.

Then it allocates enough space for storing a 4096 byte long bitmap and fills it with zeros.

Finally, it iterates through all entries in the memory map again and marks each entry as free or unusable based on its type (usable regions are marked as free).

The code's purpose to find the end of the memory map.

It does this by iterating through the entries in the memory map, and if the entry is usable and there is more space left in the current region, it will place it there.

Features

  • Denigma uses machine learning to explain code in simple English.
  • It can install dependencies for your projects.
  • It builds and packages applications for you.
  • Denigma can manipulate memory maps.
  • It can handle HTTP requests and manage inventories.

Perfect for

  • Software developers would find Denigma useful.
  • Programmers can benefit from its features.
  • And web developers would appreciate its capabilities.
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