nan | Native Abstractions for Node.js | Runtime Evironment library

by nodejs C++ Version: 2.19.0 License: MIT

X-Ray Key Features Code Snippets(6)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | nan Summary

nan is a C++ library typically used in Server, Runtime Evironment, Nodejs applications. nan has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

[Build status] Thanks to the crazy changes in V8 (and some in Node core), keeping native addons compiling happily across versions, particularly 0.10 to 0.12 to 4.0, is a minor nightmare. The goal of this project is to store all logic necessary to develop native Node.js addons without having to inspect NODE_MODULE_VERSION and get yourself into a macro-tangle. This project also contains some helper utilities that make addon development a bit more pleasant.

Support

Quality

Security

License

Reuse

Support

nan has a medium active ecosystem.

It has 3178 star(s) with 513 fork(s). There are 116 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 49 open issues and 442 have been closed. On average issues are closed in 38 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nan is 2.19.0

Quality

nan has 0 bugs and 0 code smells.

Security

nan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nan is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nan releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 3401 lines of code, 177 functions and 52 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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nan Key Features

No Key Features are available at this moment for nan.

nan Examples and Code Snippets

Iterable

JavaScript

Lines of Code : 373

License : Permissive (MIT)

Copy

aggregate(func: Function): Any
aggregate(func: Function, seed: Any): Any

let val = iter([2, 3, 4, 5])
    .aggregate((carry, current) => {
        return carry + current;
    }, 1);
//=> 15

let val = iter([1, 2, 3, 4, 5])
    .aggregate((carr

💡 Explanation:

Javascript

Lines of Code : 27

License : No License

Copy

parseInt("f*ck"); // -> NaN
parseInt("f*ck", 16); // -> 15


//
parseInt("Infinity", 10); // -> NaN
// ...
parseInt("Infinity", 18); // -> NaN...
parseInt("Infinity", 19); // -> 18
// ...
parseInt("Infinity", 23); // -> 18...
parseI

is What? ,Usage,Let's talk about NaN

TypeScript

Lines of Code : 26

License : Permissive (MIT)

Copy

// 1)
typeof NaN === 'number' // true
// 🤔 ("not a number" is a "number"...)

// 2)
isNaN('1') // false
// 🤔 the string '1' is not-"not a number"... so it's a number??

// 3)
isNaN('one') // true
// 🤔 'one' is NaN but `NaN === 'one'` is false...

nan - addon

JavaScript

Lines of Code : 31

License : Non-SPDX

Copy

/*********************************************************************
 * NAN - Native Abstractions for Node.js
 *
 * Copyright (c) 2018 NAN contributors
 *
 * MIT License 
 ********************************************************************/

var a

Return True if tensor has nan or nan .

python

Lines of Code : 30

License : Non-SPDX (Apache License 2.0)

Copy

def has_inf_or_nan(datum, tensor):
  """A predicate for whether a tensor consists of any bad numerical values.

  This predicate is common enough to merit definition in this module.
  Bad numerical values include `nan`s and `inf`s.
  The signature of

Create a function that returns NaN .

python

Lines of Code : 14

License : Non-SPDX (Apache License 2.0)

Copy

def _make_nan_reduction(np_fun_name, reduction, init_val):
  """Helper to generate nan* functions."""

  @np_utils.np_doc(np_fun_name)
  def nan_reduction(a, axis=None, dtype=None, keepdims=False):
    a = np_array_ops.array(a)
    v = np_array_ops.a

Community Discussions

Trending Discussions on nan

Precedence inside a function call

'GetContents' in 'v8::ArrayBuffer'

Lookup Values by Corresponding Column Header in Pandas 1.2.0 or newer

Difference between NA_real_ and NaN

Rolling sum based on all previous dates NOT previous rows sorted by date

Why does .loc assignment with two sets of brackets result in NaN in a pandas.DataFrame?

Recover deleted records from Snowflake if you don't remember the exact time / date

How to fillna in pandas dataframe based on pattern like in excel dragging?

determine the range of a value using a look up table

Why doesn't NaN raise any errors in python?

QUESTION

Precedence inside a function call

Asked 2022-Mar-11 at 21:27

Using the defined-or operator ( // ) in a function call produces the result I'd expect:

...

ANSWER

Answered 2022-Mar-04 at 10:15

I'd say, it's a grammar bug, as

Source https://stackoverflow.com/questions/71349734

QUESTION

'GetContents' in 'v8::ArrayBuffer'

Asked 2022-Mar-11 at 16:42

I'm using Mac M1 and I've just upgraded to Node 14.17.6LTS.

I tried to rebuild better_sqlite3 (7.4.3) using with electron builder (22.11.7) and I'm getting the following errors:

no member named 'GetContents' in 'v8::ArrayBuffer'

Any ideas how to solve this? Thanks in advance!

...

ANSWER

Answered 2021-Sep-23 at 01:15

I'm using Mac M1 and I've just upgraded to Node 14.17.6LTS.

An interesting choice, given that Node 16 officially introduced M1 support.

no member named 'GetContents' in 'v8::ArrayBuffer'

See this doc. In short, GetContents was replaced by GetBackingStore in late 2019. Being a compatibility layer, nan adapted to this in early 2020.

So you'll probably have to ensure that the versions of all involved packages (Node, nan, electron, ...) match each other (in the sense of having been released around the same time and targeting each other).

Source https://stackoverflow.com/questions/69290893

QUESTION

Lookup Values by Corresponding Column Header in Pandas 1.2.0 or newer

Asked 2022-Feb-13 at 20:11

The operation pandas.DataFrame.lookup is "Deprecated since version 1.2.0", and has since invalidated a lot of previous answers.

This post attempts to function as a canonical resource for looking up corresponding row col pairs in pandas versions 1.2.0 and newer.

Some previous answers to this type of question (now deprecated):

Some Current Answers to this Question:

Standard LookUp Values With Default Range Index

Given the following DataFrame:

...

ANSWER

Answered 2021-Nov-18 at 21:34

Standard LookUp Values With Any Index

The documentation on Looking up values by index/column labels recommends using NumPy indexing via factorize and reindex as the replacement for the deprecated DataFrame.lookup.

Source https://stackoverflow.com/questions/69352472

QUESTION

Difference between NA_real_ and NaN

Asked 2022-Jan-19 at 13:02

When I use .Internal(inspect()) to NA_real_ and NaN, it returns,

...

ANSWER

Answered 2021-Dec-24 at 10:45

NA is a statistical or data integrity concept: the idea of a "missing value". Eg if your data comes from people filling in forms, a bad entry or missing entry would be treated as NA.

NaN is a numerical or computational concept: something that is "not a number". Eg 0/0 is NAN, because the result of this computation is undefined (but note that 1/0 is Inf, or infinity, and similarly -1/0 is -Inf).

The way that R handles these concepts internally isn't something that you should ever be concerned about.

Source https://stackoverflow.com/questions/70471859

QUESTION

Rolling sum based on all previous dates NOT previous rows sorted by date

Asked 2021-Dec-21 at 20:17

Given the following dataframe:

...

ANSWER

Answered 2021-Dec-20 at 01:49

One way is to aggregate your amounts by date first, then compute the rolling sum, and join this sum to the original list of dates to apply the rolling sum to all dates

Source https://stackoverflow.com/questions/70416616

QUESTION

Why does .loc assignment with two sets of brackets result in NaN in a pandas.DataFrame?

Asked 2021-Nov-23 at 15:21

I have a DataFrame:

name age 0 Paul 25 1 John 27 2 Bill 23

I know that if I enter:

...

ANSWER

Answered 2021-Nov-13 at 13:51

That's because for the loc assignment all index axes are aligned, including the columns: Since age and name do not match, there is no data to assign, hence the NaNs.

You can make it work by renaming the columns:

Source https://stackoverflow.com/questions/69954697

QUESTION

Recover deleted records from Snowflake if you don't remember the exact time / date

Asked 2021-Oct-14 at 13:49

I'm trying to recover some records but I don't remember the exact time or date they were deleted:

I remember that these records that were deleted all had 'nan' values in link and name columns, and the asof_date values were between July & October.

I believe they were deleted 1 day ago so I tried this (since 1440 min in a day) but nothing populates:

...

ANSWER

Answered 2021-Oct-14 at 13:49

Unfortunately, since your data retention period is only 1 day, you will not be able to make use of time travel or fail safe.

For future reference, provided that you have Enterprise edition or above, then you can set the retention period to be up to 90 days, and then you have 7 days fail-safe protection after that.

Understanding & Using Time Travel

Source https://stackoverflow.com/questions/69571340

QUESTION

How to fillna in pandas dataframe based on pattern like in excel dragging?

Asked 2021-Oct-13 at 01:22

I have dataframe which should be filled by understanding rows understanding like we do in excel. If its continious integer it fill by next number itself.

Is there any function in python like this?

...

ANSWER

Answered 2021-Oct-08 at 12:41

I tested some stuff out and did some more research. It appears pandas does not currently offer the functionality you're looking for.

df['cat'].interpolate(method='linear') will only work if the first/last values are filled in already. You would have to manually assign df.loc[5, 'cat1'] = 6 in this example, then a linear interpolation would work.

Some Options:

If the data is small enough, you can always export to Excel and use the fill there, then bring back into pandas.
Analyze the patterns yourself and design your own fill methods. For example, to get the year, you can use df['year'] = df.index.to_series().apply(lambda x: 2019 if x % 2 == 0 else 2020).

There are other Stack Overflow questions very similar to this, and none that I saw have a generic answer.

Source https://stackoverflow.com/questions/69495398

QUESTION

determine the range of a value using a look up table

Asked 2021-Oct-06 at 08:46

I have a df with numbers:

...

ANSWER

Answered 2021-Oct-06 at 08:46

You can use a bit of numpy vectorial operations to generate masks, and use them to select your labels:

Source https://stackoverflow.com/questions/69462119

QUESTION

Why doesn't NaN raise any errors in python?

Asked 2021-Sep-26 at 13:39

In my opinion, things like float('nan') should be optimized, but apparently they aren't in Python.

...

ANSWER

Answered 2021-Sep-26 at 11:50

Membership testing

Two different instances of float('nan') are not equal to each other. They are "Not a Number" so it makes sense that they shouldn't also have to be equal. They are different instances of objects which are not numbers:

Source https://stackoverflow.com/questions/69328143

Community Discussions, Code Snippets contain sources that include Stack Exchange Network