k-FP | Benchmarks for the k-FP WF attack | Functional Programming library

 by   jhayes14 Python Version: Current License: No License

kandi X-RAY | k-FP Summary

kandi X-RAY | k-FP Summary

k-FP is a Python library typically used in Programming Style, Functional Programming applications. k-FP has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Benchmarks for the k-FP WF attack
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            kandi-support Support

              k-FP has a low active ecosystem.
              It has 24 star(s) with 11 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 4 have been closed. On average issues are closed in 9 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of k-FP is current.

            kandi-Quality Quality

              k-FP has 0 bugs and 0 code smells.

            kandi-Security Security

              k-FP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              k-FP code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              k-FP does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              k-FP 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.
              k-FP saves you 211 person hours of effort in developing the same functionality from scratch.
              It has 517 lines of code, 24 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed k-FP and discovered the below as its top functions. This is intended to give you an instant insight into k-FP implemented functionality, and help decide if they suit your requirements.
            • Summarize all the features in the trace data
            • Calculate time percentile stats
            • Calculate the first and last30 pkts stats
            • Calculate the interarrival time averaged over the max value
            • Calculate the average packet ordering
            • Parse trace data from trace data
            • Calculate the average number of times per second
            • Calculate the density of packets in the trace data
            • Splits the list_data into two lists
            • Return the neighborhood of the given iterable
            • Splits a sequence into integers
            • Compute the interarrival time
            • Compute inter - time difference between inter - pkt data
            • Calculates the perc inc and out of the trace data
            • Return the number of packets in the trace data
            Get all kandi verified functions for this library.

            k-FP Key Features

            No Key Features are available at this moment for k-FP.

            k-FP Examples and Code Snippets

            No Code Snippets are available at this moment for k-FP.

            Community Discussions

            QUESTION

            how to display DEC floating point format given 32 bits in IEEE standard
            Asked 2020-Nov-10 at 22:47

            I'm currently given 32 bits of data that are in the Digital Equipment Corporation (DEC) floating point format or PDP-11 (or fp-11). The data is given in little endian. In C, how do I get a regular IEEE-754 single precision floating point from it?

            I've found some references, but they are very confusing: http://home.kpn.nl/jhm.bonten/computers/bitsandbytes/wordsizes/hidbit.htm

            http://www.bitsavers.org/pdf/dec/pdp11/1160/EK-FP11E-UG-001_FP11-E_Users_Guide_Dec77.pdf

            EDIT: (in response to comment) by confusing I'm referring to the msb and lsb aspects of conforming to little endian and additionally how to get that into a human readable format for printf. heres what i tried so far:

            ...

            ANSWER

            Answered 2020-Nov-10 at 22:47

            Caveat: I have never used a PDP-11, so the following is based purely on the documentation linked in the question.

            The PDP-11 was a 16-bit machine using 16-bit words. 32-bit single-precision floating-point data was stored in a "mixed-endian" format: the more significant word was stored at the lower address, but within each word, the less significant byte was stored at the lower address. In other words, in order of increasing addresses, the four bytes are stored in order 2, 3, 0, 1.

            The PDP-11 floating-point format is similar to the IEEE-754 binary32 format, using sign-magnitude representation with eight exponent bits and a significand (mantissa) whose most significant bit is assumed to be 1 and therefore not stored. The exponent bias is 128 instead of 127 for IEEE-754 binary32, and the significand is normalized to [0.5, 1) instead of [1, 2) for IEEE-754 binary32. Also, subnormals, infinities, and NaNs are not supported.

            This means that conversion can never overflow, but it can underflow (with an accompanying potential reduction in accuracy) to an IEEE-754 binary subnormal. The following program assumes that we are running on a machine with IEEE-754 floating-point, and are presented with PDP-11 floating-point data as a sequence of bytes in memory order.

            Source https://stackoverflow.com/questions/64760137

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

            Vulnerabilities

            No vulnerabilities reported

            Install k-FP

            You can download it from GitHub.
            You can use k-FP 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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            https://github.com/jhayes14/k-FP.git

          • CLI

            gh repo clone jhayes14/k-FP

          • sshUrl

            git@github.com:jhayes14/k-FP.git

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