uptick | Python-based CLI tool set for BitShares blockchain | Blockchain library

by bitshares Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | uptick Summary

uptick is a Python library typically used in Blockchain, Bitcoin applications. uptick has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However uptick has 3 bugs. You can download it from GitHub.

Swiss army knife for interacting with the BitShares blockchain.

Support

Quality

Security

License

Reuse

Support

uptick has a low active ecosystem.

It has 43 star(s) with 27 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 10 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of uptick is current.

Quality

uptick has 3 bugs (1 blocker, 0 critical, 2 major, 0 minor) and 29 code smells.

Security

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

uptick code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

uptick 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

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

Build file is available. You can build the component from source.

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

uptick saves you 1224 person hours of effort in developing the same functionality from scratch.

It has 2755 lines of code, 141 functions and 30 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed uptick and discovered the below as its top functions. This is intended to give you an instant insight into uptick implemented functionality, and help decide if they suit your requirements.

Describe a pool
Print a message
Return a JSON representation of a dict
Print formatted table
List votes for a given account
Returns the vote type based on the id
List all proposals
Pretty print an operation
List all public assets
Display ticker
Show the details of the given identifiers
Publish price feed
Exchange an exchange
Create an htl_create transaction
Clone an account
List witnesses
Creates a deposit transaction
Spread a range of orders
List call orders
Show the orderbook
Import account
List the workers
Initiate withdraw from pool
Create a deposit pool
Decorator to configure BitShares
List all fees

Get all kandi verified functions for this library.

uptick Key Features

No Key Features are available at this moment for uptick.

uptick Examples and Code Snippets

No Code Snippets are available at this moment for uptick.

Community Discussions

Trending Discussions on uptick

ASP.NET MVC & EF multiple joins scaling

Unable to implement keylistener in JComponent

Dealing with country names Python

How to aggregate rows of one column based on time intervals in another column?

How can I replace single cell references with ranges

How to investigate suspicious Firebase Hosting usage?

Why does mulitprocessing.Pool run but never terminate?

Use of map function in pandas

QUESTION

ASP.NET MVC & EF multiple joins scaling

Asked 2022-Mar-31 at 23:27

I am using ASP.NET MVC and Entity Framework to connect to several databases from a single API. I'm currently refactoring some of the legacy code to ease server load (we are expecting a large uptick in the close future).

There are several controllers with a similar problem that is consuming a large chunk of CPU power each time generating specific objects to return. The method currently used is to create an object of each table and then construct an object out of the retrieved tables.

Like this:

...

ANSWER

Answered 2022-Mar-31 at 23:27

Credit to "Kirk Wolf" for the answer. By adding associations in my data model, I was able to create a very similar result to the 2nd snippet of code in the question. After doing this on a (smaller) query and running a few benchmarks it seems the performance went from 20ms average to 5ms average. A much appreciated boost that should translate into much higher time savings for larger controllers. Steps:

Add associations to data model
Recompile
Access the objects as follows

Source https://stackoverflow.com/questions/71685165

QUESTION

Unable to implement keylistener in JComponent

Asked 2021-Dec-15 at 03:48

I've been working at the following bit of code for quite some time now, and I just can't seem to get the keyListeners to work. I've tried moving the setFocusable(true), requestFocus(), and addKeyListener(this), but it's not making a difference.

And, before anyone mentions it, yes, if I've learned one thing in all my readings up to this point, the internet seems to be in consensus that Key bindings are superior. The problem is, this is for a school assignment, so I've got to go by the books. What should I be doing differently to get the KeyListener to activate?

...

ANSWER

Answered 2021-Dec-15 at 03:48

Alright, this...

Source https://stackoverflow.com/questions/70357893

QUESTION

Dealing with country names Python

Asked 2021-May-22 at 17:37

I'm dealing with parsing country names coming from google analytics and I must get the country code for a prebid module to set the country's region based on it's code. I have tried the following:

...

ANSWER

Answered 2021-May-22 at 17:37

Levenshtein is certainly an option (difficult due to false positives), but since you're dealing with 2 standardized versions of country name, which as far as we can tell can only differ by either special character, or by non-English letter it should be enough to remove these and check then:

Source https://stackoverflow.com/questions/67651310

QUESTION

How to aggregate rows of one column based on time intervals in another column?

Asked 2021-Apr-11 at 17:46

I have a dataset containing Reddit data. More specifically, all posts made in subreddit GME that mention "GME". See below for how this looks like:

For reproduction purposes, here is the dictionary of the first 25 rows:

...

ANSWER

Answered 2021-Apr-11 at 17:46

You could convert your date column to datetime, and then use pd.Grouper with groupby, as per below:

Source https://stackoverflow.com/questions/67045748

QUESTION

How can I replace single cell references with ranges

Asked 2021-Mar-01 at 02:38

I have 5 columns ((a)uptick, (b)downtick, (c)original, (d)current), and (e) Stored Value. All columns need to be a range of rows. When d2 changes I want to compare it to e2 and if d2>e2 then bump the counter in a2 by 1 (uptick), if d2

I cannot seem to figure out how to replace specific cell references with ranges. Any help would be most appreciated!

Sample Code below not using ranges yet.

...

ANSWER

Answered 2021-Mar-01 at 02:33

I assume you want to change the cell value in the same row that the value was entered in column D, i.e. if D4 has been changed, then adjust A4 or B4. To do that, you need the row number of the changed cell. You can extract that with target.row. Throw that into a variable and use the variable instead of the row number in the Range() property.

Source https://stackoverflow.com/questions/66415730

QUESTION

How to investigate suspicious Firebase Hosting usage?

Asked 2020-Sep-18 at 13:31

I was surprised to see a huge uptick on my Google Firebase Hosting Usage tab, where my daily download was suddenly up in the 3-4 GB of hosting downloads! I figured I needed to look into this, but ... how? I can't seem to see a way to figure out who is making all these requests or from where, or what files are being downloaded so much.

I assume that the Google Cloud Console has this data hidden away somewhere, but I couldn't work out how to find it. I looked under https://cloud.google.com/monitoring but I couldn't figure out how to get at the data there either.

I would very much appreciate some help or pointers at how to drill into your Firebase usage beyond the simple 'Usage' tabs the console provides.

...

ANSWER

Answered 2020-Sep-18 at 13:31

For your use case scenario, it doesn't seems like Cloud Monitoring can do any further assistance.

That's being said, I believe you need to follow this document in-order to link your Firebase project to Cloud Logging to view, search, and filter your web request logs for each of your Hosting sites.

Source https://stackoverflow.com/questions/63883450

QUESTION

Why does mulitprocessing.Pool run but never terminate?

Asked 2020-May-08 at 10:46

I'm trying to use mulitprocessing.Pool to speed up the execution of a function across a range of inputs. The processes seem to have been called, since my task manager indicates a substantial increase in my CPU's utilization, but the task never terminates. No exceptions are ever raised, runtime or otherwise.

...

ANSWER

Answered 2020-May-07 at 16:54

This seems like it might be a problem with both Spyder and Jupyter. If you run the above code in the console directly, everything works as intended.

Source https://stackoverflow.com/questions/61662423

QUESTION

Use of map function in pandas

Asked 2020-May-02 at 12:22

I'm trying to replicate this analysis for my city. I'm at the step where I copied and pasted the function to compute daily hours of daylight and add the aggregate count (weekly and daily) to the grouped dataset and then plot.

The thing is that I believe that the map function used here behave strangely (or something has changed along the pandas version). If I give for example weekly.head() the program returns in the hours_of_daylight column this output while I am expecting a number

...

ANSWER

Answered 2020-May-02 at 10:09

Use Index.map:

Source https://stackoverflow.com/questions/61557589

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

Vulnerabilities

No vulnerabilities reported

Install uptick

You can download it from GitHub.
You can use uptick like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.