catalyst | An Algorithmic Trading Library for Crypto-Assets in Python | Cryptography library

by enigmampc Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | catalyst Summary

catalyst is a Python library typically used in Security, Cryptography, Bitcoin applications. catalyst has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

An Algorithmic Trading Library for Crypto-Assets in Python

Support

Quality

Security

License

Reuse

Support

catalyst has a highly active ecosystem.

It has 2251 star(s) with 652 fork(s). There are 170 watchers for this library.

It had no major release in the last 6 months.

There are 125 open issues and 356 have been closed. On average issues are closed in 26 days. There are 11 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of catalyst is current.

Quality

catalyst has 0 bugs and 0 code smells.

Security

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

catalyst code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

catalyst is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

catalyst 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.

catalyst saves you 66909 person hours of effort in developing the same functionality from scratch.

It has 75431 lines of code, 4394 functions and 364 files.

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

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catalyst Key Features

No Key Features are available at this moment for catalyst.

catalyst Examples and Code Snippets

cocoapods-catalyst-support,Example

Ruby

Lines of Code : 20

License : Permissive (MIT)

Copy

require 'cocoapods-catalyst-support'

platform :ios, '12.0'
use_frameworks!

target 'Sample' do
  pod 'AppCenter/Analytics'
  pod 'Firebase/Analytics'
end

catalyst_configuration do
  verbose!

  ios 'Firebase/Analytics'
  macos 'AppCenter/Analytics'

cocoapods-catalyst-support,Disclaimer,Who is this for?

Ruby

Lines of Code : 9

License : Permissive (MIT)

Copy

ld: in Pods/Crashlytics/iOS/Crashlytics.framework/Crashlytics(CLSInternalReport.o), building for Mac Catalyst, but linking in object file built for iOS Simulator, file 'Pods/Crashlytics/iOS/Crashlytics.framework/Crashlytics' for architecture x86_64
c

cocoapods-catalyst-support,Usage

Ruby

Lines of Code : 4

License : Permissive (MIT)

Copy

catalyst_configuration do
  ios 'Firebase/Analytics' # This dependency will only be available for iOS
  macos 'AppCenter/Analytics' # This dependency will only be available for macOS
end

Community Discussions

Trending Discussions on catalyst

How to use .quickLookPreview modifier in swiftui

Find columns to select, for spark.read(), from another Dataset - Spark Scala

Error when running Pytest with DeltaTables

How to grow a popover controller

Adding CatalystX::I18N::Maketext to my DBIC schema

Swift availability check for macCatalyst / iOS failing

How create parquet table in scala?

Why do year and month functions result in long overflow in Spark?

Pyspark 3.1.2 problem "expected zero arguments for construction of ClassDict"

Spark regression only working with one feature

QUESTION

How to use .quickLookPreview modifier in swiftui

Asked 2022-Mar-29 at 07:42

I am trying to use the view modifier .quickLookPreview introduced in iOS 14, macOS 11 macCatalyst 14 but I get this error Value of type 'some View' has no member 'quickLookPreview' every time I try to use the modifier on a macOS or mac catalyst target. On iOS, this works fine. What is the right way to present this modifier on a mac?

...

ANSWER

Answered 2022-Mar-29 at 07:42

The issue is gone now in Xcode 13.2

So the right way to use the modifier is valid, it was just probably some bug in earlier xcode versions.

Source https://stackoverflow.com/questions/70341461

QUESTION

Find columns to select, for spark.read(), from another Dataset - Spark Scala

Asked 2022-Mar-24 at 13:45

I have a Dataset[Year] that has the following schema:

...

ANSWER

Answered 2022-Mar-23 at 06:04

May be you got a DataFrame,not a DataSet. try to use "as" to transform dataframe to dataset. like this

Source https://stackoverflow.com/questions/71579356

QUESTION

Error when running Pytest with DeltaTables

Asked 2022-Feb-14 at 10:18

I am working in the VDI of a company and they use their own artifactory for security reasons. Currently I am writing unit tests to perform tests for a function that deletes entries from a delta table. When I started, I received an error of unresolved dependencies, because my spark session was configured in a way that it would load jars from maven. I was able to solve this issue by loading these jars locally from /opt/spark/jars. Now my code looks like this:

...

ANSWER

Answered 2022-Feb-14 at 10:18

It looks like that you're using incompatible version of the Delta lake library. 0.7.0 was for Spark 3.0, but you're using another version - either lower, or higher. Consult Delta releases page to find mapping between Delta version & required Spark versions.

If you're using Spark 3.1 or 3.2, consider using delta-spark Python package that will install all necessary dependencies, so you just import DeltaTable class.

Update: Yes, this happens because of the conflicting versions - you need to remove delta-spark and pyspark Python package, and install pyspark==3.0.2 explicitly.

P.S. Also, look onto pytest-spark package that can simplify specification of configuration for all tests. You can find examples of it + Delta here.

Source https://stackoverflow.com/questions/71084507

QUESTION

How to grow a popover controller

Asked 2022-Feb-11 at 13:47

I have a popover controller in my app for iPad and Mac (using mac catalyst) and I'm trying to figure out how to grow the height of the popover when it's already presented. I've been searching everywhere on how to do this but everything I find is about setting the size before presenting but not after.

While the pop-up is presenting, there's a button in it that should grow the height by 100-150 pixels, but I can not figure out how

Can anyone please help me with this? Thank you in advance!

Here's my popover presenting code:

...

ANSWER

Answered 2022-Feb-11 at 13:47

To change a size of your presented controller in popover view you should modify its preferredContentSize property:

Source https://stackoverflow.com/questions/70981202

QUESTION

Adding CatalystX::I18N::Maketext to my DBIC schema

Asked 2022-Jan-26 at 09:57

sorry, I thought I had got there after my last post, however I only got as far as accessing from a separate PL file. I'm now trying to ensure I can load the lexicon with the schema load and not everytime I call a method in my result / resultset classes (which seems like a really terrible idea).

So to try and give a complete picture, here's the script I eventually got to work:

...

ANSWER

Answered 2022-Jan-26 at 09:57

I have, with the very kind and patient assistance of @simbabque, managed to work this out.

simbabque suggested I set the lang attribute to lazy, which did work:

Source https://stackoverflow.com/questions/70827380

QUESTION

Swift availability check for macCatalyst / iOS failing

Asked 2022-Jan-24 at 19:47

I have added an iOS 15+/macCatalyst 15.0+ function to my app and now it is crashing when run on an M1 iMac through Mac Catalyst (Designed for iPad).

I have an availability check around my function however when run on my Mac (macOS 11.6), the code within the availability check still runs, and crashes.

...

ANSWER

Answered 2021-Oct-05 at 09:28

It turns out this is a known issue and actually mentioned in the Xcode 13 release notes.

Availability checks in iPhone and iPad apps on a Mac with Apple silicon always return true. This causes iOS apps running in macOS 11 Big Sur to see iOS 15 APIs as available, resulting in crashes. This only affects apps available in the Mac App Store built with the “My Mac (Designed for iPhone)” or “My Mac (Designed for iPad)” run destination. It doesn’t affect Mac Catalyst apps. (83378814)

Workaround: Use the following code to check for iOS 15 availability:

Source https://stackoverflow.com/questions/69434107

QUESTION

How create parquet table in scala?

Asked 2021-Dec-16 at 12:49

I want to create a parquet table with certain types of fields:

name_process: String id_session: Int time_write: LocalDate or Timestamp key: String value: String

name_process id_session time_write key value OtherClass jsdfsadfsf 43434883477 schema0.table0.csv Success OtherClass jksdfkjhka 23212123323 schema1.table1.csv Success OtherClass alskdfksjd 23343212234 schema2.table2.csv Failure ExternalClass sdfjkhsdfd 34455453434 schema3.table3.csv Success

I want to write such a table correctly. With the correct data types. Then I'm going to read the partitions from it. I'm trying to implement read and write. But it turns out badly so far.

...

ANSWER

Answered 2021-Dec-16 at 12:49

Problem

When you do this

Source https://stackoverflow.com/questions/70378626

QUESTION

Why do year and month functions result in long overflow in Spark?

Asked 2021-Nov-03 at 11:14

I'm trying to make year and month columns from a column named logtimestamp (of type TimeStampType) in spark. The data source is cassandra. I am using sparkshell to perform these steps, here is the code I have written -

...

ANSWER

Answered 2021-Nov-03 at 11:14

Turns out one of the cassandra table had a timestamp value that was greater than the highest value allowed by spark but not large enough to overflow in cassandra. The timestamp had been manually edited to get around the upserting that is done by default in cassandra, but this led to some large values being formed during development. Ran a python script to find this out.

Source https://stackoverflow.com/questions/69809656

QUESTION

Pyspark 3.1.2 problem "expected zero arguments for construction of ClassDict"

Asked 2021-Oct-07 at 14:15

I have setup a Spark cluster version 3.1.2. I am using Python API for Spark. I have some JSON data that I have loaded in dataframe. I have to parse a nested column (ADSZ_2) that looks like following format

...

ANSWER

Answered 2021-Oct-07 at 14:15

I will propose an alternative solution where you transform your rows with the rdd of the dataframe. Here is a self-contained example that I have tried to adopt to your data:

Source https://stackoverflow.com/questions/69475429

QUESTION

Spark regression only working with one feature

Asked 2021-Jul-28 at 03:47

I have some data (~1 MB) on customers of a service provider. I'm trying to predict using Spark (PySpark on Databricks) if they will end their subscription (churn) based on a few features.

One-Feature Model

To start, I tried with only one feature and saw a successful training:

...

ANSWER

Answered 2021-Jul-28 at 03:47

The reason of the error is because your data contains null values

Caused by: org.apache.spark.SparkException: Encountered null while assembling a row with handleInvalid = "error". Consider removing nulls from dataset or using handleInvalid = "keep" or "skip".

This is the count of null values of the data you shared from Kaggle

Source https://stackoverflow.com/questions/68501644

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

Vulnerabilities

No vulnerabilities reported

Install catalyst

You can download it from GitHub.
You can use catalyst 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: