crysp | crypto stuff in python | Cryptography library

by bdcht Python Version: 1.3 License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | crysp Summary

crysp is a Python library typically used in Security, Cryptography applications. crysp has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install crysp' or download it from GitHub, PyPI.

crypto stuff in python

Support

Quality

Security

License

Reuse

Support

crysp has a low active ecosystem.

It has 14 star(s) with 7 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

crysp has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of crysp is 1.3

Quality

crysp has 0 bugs and 0 code smells.

Security

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

crysp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

crysp is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

Deployable package is available in PyPI.

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

crysp saves you 2003 person hours of effort in developing the same functionality from scratch.

It has 4404 lines of code, 431 functions and 50 files.

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

Top functions reviewed by kandi - BETA

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

Update the matrix
Convert an object to bytes
Iterate over the blocks of the given matrix
Unpack an ISTR message from an ISTR string
Update the circuit matrix
Append the given size to the buffer
Extend the mask with the given size
Decode a binary quadratic block
Compute the F key
Compute the coefficient of a given list
Calculate a CRC - back table from the given CRC
Calculates the CRC table for the given P
Return keysched from a prekey
Set key
Cumulate CRC32 with given position
Create param block
Remove padding
Return the last block of bytes
Decode C
Encodes a binary matrix
Calculate the CRC of the given data
Plot a 2D histogram
Return the last block of m
Compute digest of CRC
Remove padding bytes
Generate a histogram of the given files

Get all kandi verified functions for this library.

crysp Key Features

No Key Features are available at this moment for crysp.

crysp Examples and Code Snippets

No Code Snippets are available at this moment for crysp.

Community Discussions

Trending Discussions on crysp

Generate uniformly random float which can return all possible values

QUESTION

Generate uniformly random float which can return all possible values

Asked 2018-Dec-03 at 16:27

An easy way to generate a random float64 in [0,1) is by generating a uniformly random int in [0,2⁵³) and dividing it by 2⁵³. This is essentially what rand.Float64() is doing. However, not all possible float64 values between 0 and 1 can be generated this way: if the value is lower than 2⁻⁴ for example, the 4 last bits of the significand are always going to be 0. Or, put more simply, the naive method always returns multiples of 2⁻⁵³, and not all floating point numbers between 0 and 1 are multiples of 2⁻⁵³.

How do you generate a uniformly random float64 such as every possible value has a chance of being returned? (Here, uniformly random means over the real interval [0,1): conceptually, I want to pick a uniformly random real number between 0 and 1 and return the closest float.)

For context, I need this because I'm implementing this paper and the assumption "all possible values between 0 and 1 are represented" is essential for the result to hold.

...

ANSWER

Answered 2018-Nov-13 at 09:42

Because the binary64 floating point numbers are not uniformly spaced, you cannot generate a uniform distribution which can return all possible values less that 1.

If you omit the requirement uniform you have to generate all representable multiples of the smallest positive denormal number 2^(-1074)and zero.

Source https://stackoverflow.com/questions/53277105

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

Vulnerabilities

No vulnerabilities reported

Install crysp

You can install using 'pip install crysp' or download it from GitHub, PyPI.
You can use crysp 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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