pb-exercises | Install python 3
kandi X-RAY | pb-exercises Summary
kandi X-RAY | pb-exercises Summary
pb-exercises is a Python library typically used in Ansible, Ubuntu, Debian applications. pb-exercises has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Install python 3.8 or above on your machine:. Download this script: Run (you may need to specify python3 if you also have python2 installed).
Install python 3.8 or above on your machine:. Download this script: Run (you may need to specify python3 if you also have python2 installed).
Support
Quality
Security
License
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Support
pb-exercises has a low active ecosystem.
It has 140 star(s) with 82 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 674 days. There are 13 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pb-exercises is current.
Quality
pb-exercises has no bugs reported.
Security
pb-exercises has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pb-exercises is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pb-exercises 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, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed pb-exercises and discovered the below as its top functions. This is intended to give you an instant insight into pb-exercises implemented functionality, and help decide if they suit your requirements.
- Returns a list of all hashes that are hashable
- Parse a block of bytes
- Read a varint from the stream
- Convert a little endian value to an integer
- Assert that the bit field to the right
- Convert bytes to a list of bits
- Convert a bit field to a byte array
- Evaluate the script
- Test if two elements are equal
- Return the parsed parse tree
- Top level function
- Notify the stack
- Parse a segwit transaction
- Test for merkle parent level
- Test for the Golomb code
- Evaluate the contents of the tree
- Validate a merkle root
- Parse a TxBlock from a string
- Test the Merkle root
- Calculate the signature for the given index
- Tests if the key is aiphash
- Takes a signed input and returns a TxIn
- Calculate the new target bits based on the starting block
- Serializes a VM
- Verify the validity of a sequence
- Test if the block is valid
Get all kandi verified functions for this library.
pb-exercises Key Features
No Key Features are available at this moment for pb-exercises.
pb-exercises Examples and Code Snippets
No Code Snippets are available at this moment for pb-exercises.
Community Discussions
No Community Discussions are available at this moment for pb-exercises.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pb-exercises
You can download it from GitHub.
You can use pb-exercises 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.
You can use pb-exercises 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 .
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