007 | deep copy of an object with all functions | Continuous Backup library

by btford JavaScript Version: Current License: No License

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

kandi X-RAY | 007 Summary

007 is a JavaScript library typically used in Backup Recovery, Continuous Backup applications. 007 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Returns a deep copy of an object with all functions converted to spies.

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Quality

Security

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Support

007 has a low active ecosystem.

It has 20 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 571 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 007 is current.

Quality

007 has no bugs reported.

Security

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

License

007 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions, examples and code snippets are available.

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007 Key Features

No Key Features are available at this moment for 007.

007 Examples and Code Snippets

No Code Snippets are available at this moment for 007.

Community Discussions

Trending Discussions on 007

How to convert JSON to DirectionsRoute

Most efficient way to replace thousands of strings in a giant file

Removing rows following (and including) the first occurrence of a particular column value

Adding sendAsMail Alias in GMail

Adding missing hours to dataframe in R

GET/POST method is not reading data sent by Postman but the request is reaching backend and status code is 200

How can I compare values between two data frame columns based on matching field values?

SQL Server query to find rows that have no parent and child in a single table

changing value of threshold value when getting error at neuralnet package - R

Getting "requires numeric/complex matrix/vector arguments" error using neuralnet package - R

QUESTION

How to convert JSON to DirectionsRoute

Asked 2021-Jun-15 at 08:12

I'm developing a simple navigator with mapbox API for Android. I'm creating some routes using https://docs.mapbox.com/playground/directions/ playground and i would like to use the generated JSON to generate a DirectionsRoute object. So i call DirectionsRoute.fromJson() but when i do it, the application crashes with this error:

...

ANSWER

Answered 2021-Jun-15 at 08:12

The response from the mapbox API is not DirectionsRoute. It is DirectionsResponse, a structure that looks like this:

Source https://stackoverflow.com/questions/67788140

QUESTION

Most efficient way to replace thousands of strings in a giant file

Asked 2021-Jun-15 at 07:38

I have about a half million records that look somewhat like this:

...

ANSWER

Answered 2021-Jun-15 at 00:50

For me, this is a natural fit for awk:

Source https://stackoverflow.com/questions/67978411

QUESTION

Removing rows following (and including) the first occurrence of a particular column value

Asked 2021-Jun-14 at 00:48

I have a very large pd.Dataframe contains millions of records where PID and Ses_ID are both index columns, and Var_3 indicates the occurrence of some event.

PID Ses_ID Var_1 Var_2 Var_3 001 001
002
003 0.7
0.8
0.9 0.5
0.4
0.3 0
1
0 002 004
005
006
007
008 0.8
0.7
0.8
0.2
0.8 0.2
0.1
0.7
0.2
0.2 0
0
1
0
1

I want to remove/filter out sessions following and including the first occurrence of Var_3==1 from each person's (indexed by PID) records. Thus the provided example would result as:

PID Ses_ID Var_1 Var_2 Var_3 001 001 0.7 0.5 0 002 004
005 0.8
0.7 0.2
0.1 0
0

I could iteratively add relevant sessions and corresponding PID to a new dataframe but that would be extremely time-consuming given the size of the current dataframe. What would be an efficient way of achieving this? Many thanks!

Updated situation: I have found many rows have the same Ses_ID. How do I remove sessions following (and including) the first occurrence of a particular column value? So for the example below, both rows for Ses_ID==005 would be removed because the event of Var_3==1 occurred in this session.

PID Ses_ID Var_1 Var_2 Var_3 001 001
002
003 0.7
0.8
0.9 0.5
0.4
0.3 0
1
0 002 009
004
004
005
005
006
007 0.1
0.8
0.8
0.7
0.8
0.2
0.8 0.3
0.1
0.2
0.1
0.7
0.2
0.2 0
0
0
0
1
0
1

should be transformed to:

PID Ses_ID Var_1 Var_2 Var_3 001 001 0.7 0.5 0 002 009
004
004 0.1
0.8
0.8 0.3
0.1
0.2 0
0
0 ...

ANSWER

Answered 2021-Jun-14 at 00:13

You can try to use boolean indexing:

Source https://stackoverflow.com/questions/67963018

QUESTION

Adding sendAsMail Alias in GMail

Asked 2021-Jun-11 at 14:51

I've been trying to add another sendasmail alias from sometimes visa app scripts but the endpoint doesn't seem to work or I'm not sure if that's the intended behavior of it.

This is the endpoint https://gmail.googleapis.com/gmail/v1/users/%s/settings/sendAs/%s',getEmail, "007@alias.domain.com" that I'm using.

Here's the AppScipt Code along with payload which I'm trying to use.

...

ANSWER

Answered 2021-Jun-11 at 14:04

You need to create an alias instead of updating it

When you make a PUT request to the https://gmail.googleapis.com/gmail/v1/users/{userId}/settings/sendAs/{sendAsEmail} endpoint, you can update an already existing alias
Thereby, you need to specify the new { "sendAsEmail": "" } in the request body and the old sendAs in the request URL
If instead you want to create a new, non-existing alias, you need to make a POST request to the https://gmail.googleapis.com/gmail/v1/users/{userId}/settings/sendAs endpoint

QUESTION

Adding missing hours to dataframe in R

Asked 2021-Jun-10 at 11:45

I have a data frame where some of the hours in Time GMT are missing.
Normally, the hours should be shown in a sequence from 00:00 to 23:00, but sometimes an hour is missed.

Where an hour is missing in the sequence, I would like to insert a new row.
The new row will be a copy of the previous row, but with the following columns changed as follows:

Time GMT: will contain the next hour of the previous row. i.e, if previous == 5:00, new == 6:00
Sample Measurement: will contain the average between the previous value and the next value in Sample Measurement column.
MDL: will contain the average between the previous value and the next value in column MDL

What have I tried

...

ANSWER

Answered 2021-Jun-09 at 21:36

You could use tidyverse:

Source https://stackoverflow.com/questions/67911017

QUESTION

GET/POST method is not reading data sent by Postman but the request is reaching backend and status code is 200

Asked 2021-Jun-09 at 10:29

@RestController
@RequestMapping("/incident")
public class EncryptJsonString {
  
    @GetMapping("/test")
    public String getTest(String a) { 
        System.out.println("yuty "+a);
        return a; 
        }
}

...

ANSWER

Answered 2021-Jun-09 at 02:45

Try with this:

Source https://stackoverflow.com/questions/67896561

QUESTION

How can I compare values between two data frame columns based on matching field values?

Asked 2021-Jun-07 at 14:38

I have two data frames, df1 and df2, and want to know if something like the following is (easily) possible:

For every df1$id that matches df2$id, I want to compare df1$day against df2$day and either classify them as MATCH or NO MATCH in a new column (df1$matched) depending on whether they are identical or not.

Further clarification:

If a value in df1$id matches / appears in df2$id, I then want to look at df1$day and df2$day against that particular id. Next, I want to compare the values from df1$day and df2$day to see if they are the same or different. I then want to create a new column (matched) which classifies these values based on whether or not they are the same. Thus, for every id match between df1 and df2, the algorithm should output something like this:

Sample data:

...

ANSWER

Answered 2021-Jun-07 at 14:20

df1 <- read.table(text = 'id    day
001       2
002       2
003       8
004       2
005       8
006       8', header = T)

df2 <- read.table(header = T, text = 'id    day
004       2
005       2
006       8
007       2
008       8')

library(dplyr)


df1 %>% inner_join(df2, by = 'id') %>%
  mutate(match_yn = c('no_match', 'match')[1 + (day.x == day.y)])
#>   id day.x day.y match_yn
#> 1  4     2     2    match
#> 2  5     8     2 no_match
#> 3  6     8     8    match

Source https://stackoverflow.com/questions/67873045

QUESTION

SQL Server query to find rows that have no parent and child in a single table

Asked 2021-Jun-06 at 13:23

I have this table:

...

ANSWER

Answered 2021-Jun-06 at 09:22

So this is just a simple not-exists query:

Find me all the rows where the code and parentcode are the same, but where there does not exist a different parentcode for these rows.

Also note that you cannot have more than 999 invoice codes and still be able to order them, the code and parent code should be integer columns. Otherwise when you want to add INV-1000 it will be considered less than INV-999 because these are strings!

Source https://stackoverflow.com/questions/67857287

QUESTION

changing value of threshold value when getting error at neuralnet package - R

Asked 2021-Jun-06 at 13:02

At the below link, I asked, why I am getting error using neuralnet package:

[https://stackoverflow.com/questions/67854153/getting-requires-numeric-complex-matrix-vector-arguments-error-using-neuralnet/67854278#67854278][1]

@akrun explained and solved the problem. The problem was default value of threshold. It's default value is 0.01. If we let that value to be 0.05, the algorithm converges.

But, I want to use default threshold value in general. Bu when I get error, I want to use 0.05 as threshold value instead of the default value.

For that aim I revised the code as below:

...

ANSWER

Answered 2021-Jun-06 at 13:02

Note that you actually get a warning (and not error) while applying neuralnet function so you can try this -

Source https://stackoverflow.com/questions/67857610

QUESTION

Getting "requires numeric/complex matrix/vector arguments" error using neuralnet package - R

Asked 2021-Jun-05 at 22:08

First of all, I am sorry for the long data frames. But I am getting the error with these data frames.

Let I have the below data frame(df_1):

...

ANSWER

Answered 2021-Jun-05 at 22:08

We can change the threshold value from the default 0.01 as the default value is causing model convergence issues. Based on the documentation for ?neuralnet

threshold - a numeric value specifying the threshold for the partial derivatives of the error function as stopping criteria.

Using that info, modify the value to another one i.e. 0.02

Source https://stackoverflow.com/questions/67854153

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