apparatus | open source bookmark and collaboration tool

by omrilotan JavaScript Version: Current License: No License

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

kandi X-RAY | apparatus Summary

apparatus is a JavaScript library typically used in Productivity applications. apparatus has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Apparatus is an open source bookmark and collaboration tool. Create your spreadsheet and start collaborating!. Try the demo document to get started using Apparatus.

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Support

apparatus has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are no 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 87 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of apparatus is current.

Quality

apparatus has no bugs reported.

Security

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

License

apparatus 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

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

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apparatus Key Features

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apparatus Examples and Code Snippets

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Community Discussions

Trending Discussions on apparatus

SQL Server take a time duration and parse the time into the hour parts of that duration

How to group by a common value and split into columns based on it in pandas?

Can I use @FetchRequest with a @State var in a Picker()?

AttributeError: 'NoneType' object has no attribute 'SerializeToString'

classifier.__proto__ = LogisticRegressionClassifier.prototype

Managing Observable Subscriptions with Synchronous Streams

Extracting text in to excel table using VBA

How to remove punctuation and irrelevant words with stopwords (Text Mining)

Pyspark Convert PipelinedRDD to Spark DataFrame

Improving DOC2VEC Gensim efficiency

QUESTION

SQL Server take a time duration and parse the time into the hour parts of that duration

Asked 2021-May-17 at 19:56

I am posting this question again because the project has changed and the previous answers don't return the desired results. Ambulances and fire trucks have the dispatch time when an emergency occurred and an end time for when the emergency was declared over.

Event 1 starts on May 1, 2021 10:17:33 and ends at may 1, 2021 10:33:41.

Event 2 starts on May 1, 2021 11:50:52 and ends at May 1, 2021 13:18:21.

I would like to parse the amount of time from the start to the end and place it into the hour parts when it occurs. For example; Event 1 starts at 10:17 and ends at 10:33. It would place 16 minutes minutes in the 10:00 hour part for that day. Event 2 would place 10 minutes in the 11:00 hour part, 60 minutes in the 12:00 hour part and 18 minutes in the 13:00 hour part. Place the minutes in the hours during which the event occured.

The results should look the following. Although I am flexible. For example, if the name of the truck cannot be returned in the results that would be ok because if the EventID is there, I could relate back to the original table.

EventID Ambulance EventDayOfYear EventHour MinutesAllocated 1 Medic10 121 10 16 1 Medic10 121 11 10 2 Ladder73 121 11 10 2 Ladder73 121 12 60 2 Ladder73 121 13 18 3 Engine41 121 13 33 3 Engine41 121 14 21 4 Medic83 121 15 32 4 Medic83 121 16 5 5 Rescue32 121 16 33 6 Medic09 121 23 16 6 Medic09 122 0 39 7 Engine18 121 23 28 7 Engine18 122 0 60 7 Engine18 122 1 34 8 Rescue63 122 0 35

The following SQL code comes close to working to deliver the right result. But it does not overlap days. There are many emergency events that start at 2300 hours and last until 0300 hours the following day.

...

ANSWER

Answered 2021-May-17 at 19:56

…

Source https://stackoverflow.com/questions/67535907

QUESTION

How to group by a common value and split into columns based on it in pandas?

Asked 2021-May-05 at 05:44

I have a dataframe and its has same common value in the column "Status". I need to split it by two different columns and its urls next to it.

I have tried

pd.DataFrame(df.groupby(['Labels','Pattern','Status])['Count']) its not working as expected.

I have attached the df query and picture for clear understanding.

...

ANSWER

Answered 2021-May-05 at 05:44

Use DataFrame.set_index with DataFrame.unstack and DataFrame.sort_index, last flatten MultiIndex:

Source https://stackoverflow.com/questions/67395650

QUESTION

Can I use @FetchRequest with a @State var in a Picker()?

Asked 2021-Apr-04 at 14:58

I cannot figure out how to tie in the @State var to a picker so that @FetchRequest will update.

This code compiles, but changing the picker selection does nothing to fetchRequest, because it's not calling the init. All kinds of other variants have failed mostly.

How do I accomplish this?

...

ANSWER

Answered 2021-Apr-04 at 14:58

There are a few ways to go about this here is mine. Not sure of your intended use of Skill but I think you can figure out how to make it work for you.

I would make apparatus an enum

Source https://stackoverflow.com/questions/66939652

QUESTION

AttributeError: 'NoneType' object has no attribute 'SerializeToString'

Asked 2021-Feb-19 at 16:23

I want to convert a dataframe to a tensorflow dataset with a TFRecordf format. This is what I have written:

...

ANSWER

Answered 2021-Feb-19 at 16:23

You have an indentation error. Use the following.

Source https://stackoverflow.com/questions/66281294

QUESTION

classifier.__proto__ = LogisticRegressionClassifier.prototype

Asked 2021-Jan-08 at 14:22

Creating an endpoint which respond with array of classifications based several ML models based on NaturalJS. I have two questions:

how to resolve this err,
how to force it to be sync.

The err and console.log:

...

ANSWER

Answered 2021-Jan-08 at 14:22

This issue occurred because the second file contains internal format issue (not validated JSON)

Source https://stackoverflow.com/questions/65628810

QUESTION

Managing Observable Subscriptions with Synchronous Streams

Asked 2020-Nov-27 at 14:37

The Problem

If an observable is running synchronously, then the callback that is given to subscribe is executed before subscribe returns. The result is that the following code gives an error. (sub is not initialized)

...

ANSWER

Answered 2020-Nov-27 at 14:10

Okay, so here's me answering my own question. After working on this for far too long, I stumbled across the fact that it turns out RxJS comes with a pretty good built-in solution. It's only pretty good because it uses publish/connect which seems to be implemented with subjects internally (Though the memory footprint is still better? Not sure about why).

This is not really the intended use of publish/connect, as I'm not multicasting. The key is that ConnectableObservables do not start with subscribe, but rather with connect.

You can use this to get at the desired behavior without relying on the event loop at all.

Solution Using Publish

Mini-example:

Source https://stackoverflow.com/questions/65027137

QUESTION

Extracting text in to excel table using VBA

Asked 2020-Sep-30 at 22:15

I am trying to write a VBA script to extract information from a text document and tabulate it into corresponding columns. The code is based on https://stackoverflow.com/questions/51635537/extract-data-from-text-file-into-excel/51636080. I am having an issue doing multiple extractions.

Sample text

...

ANSWER

Answered 2020-Sep-30 at 22:15

Your "not working" code is actually writting out all the data. But your nextrow logic is flawed, so some data is being overwritten.

Rather than try to fix that code, I would suggest an alternative method

Source https://stackoverflow.com/questions/64145364

QUESTION

How to remove punctuation and irrelevant words with stopwords (Text Mining)

Asked 2020-Aug-13 at 17:53

The libraries I'm using are:

...

ANSWER

Answered 2020-Aug-13 at 17:53

Here is a script to clean the column. Note you may want to add more words to the stopword set to meet your requirements.

Source https://stackoverflow.com/questions/63400139

QUESTION

Pyspark Convert PipelinedRDD to Spark DataFrame

Asked 2020-Aug-07 at 14:32

I'm using Spark 2.3.1 and I'm performing NLP in spark when I print the type of RDD it shows and when executing

rdd.collect()

command on PipelineRDD it's output is

['embodiment present invention include pairing two wireless device placing least one two device pairing mode performing least one pairing motion event least one wireless device satisfy least one pairing condition detecting satisfaction least one pairing condition pairing two wireless device response detecting satisfaction least one pairing condition numerous aspect provided', 'present invention relates wireless communication system specifically present invention relates method transmitting control information pucch wireless communication system apparatus comprising step of obtaining plurality second modulation symbol stream corresponding plurality scfdma single carrier frequency division multiplexing symbol diffusing plurality first modulation symbol stream form first modulation symbol stream corresponding scfdma symbol within first slot obtaining plurality complex symbol stream performing dft discrete fourier transform precoding process plurality second modulation symbol stream transmitting plurality complex symbol stream pucch wherein plurality second modulation symbol stream scrambled scfdma symbol level dog church aardwolf abacus']

I want to create a data frame like this to add every word into rows of the data frame.

...

ANSWER

Answered 2020-Aug-07 at 09:12

Something like this, but adapt accordingly:

Source https://stackoverflow.com/questions/63297339

QUESTION

Improving DOC2VEC Gensim efficiency

Asked 2020-Jun-14 at 15:57

I am trying to train Gensim Doc2Vec model on tagged documents. I have around 4000000 documents. Following is my code:

...

ANSWER

Answered 2020-Jun-14 at 15:57

The Doc2Vec mode you've chosen, dm=0 (aka plain "PV-DBOW"), does not train word-vectors at all. Word vectors will still be randomly-initialized, due to shared code-paths of the different models, but never trained and thus meaingless.

So the results of your most_similar(), using a word as the query, will be essentially random. (Using most_similar() on the model itself, rather than its .wv word-vectors or .docvecs doc-vectors, should also be generating a deprecation warning.)

If you need your Doc2Vec model to train word-vectors in addition to the doc-vectors, use either the dm=1 mode ("PV-DM") or dm=0, dbow_words=1 (adding optional interleaved skip-gram word training to plain DBOW training). In both cases, words will be trained very similarly to a Word2Vec model (of the 'CBOW' or 'skip-gram' modes, respectively) – so your word-based most_similar() results should then be very comparable.

Separately:

if you have enough data to train 300-dimensional vectors, & discard all words with fewer than 100 occurrences, then 50 training epochs may be more than needed.
those most_similar() results don't particularly look like they're result of any lemmatization, as seems intended by your text_process() method, but maybe that's not an issue, or some other issue entirely. Note, though, that with sufficient data, lemmatization may be a superfluous step - all variants of the same word tend to wind up usefully near each other, when there are plenty of varied examples of al the word variants in real contexts.

Source https://stackoverflow.com/questions/62358583

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Vulnerabilities

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You can download it from GitHub.

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