panda | Platform for Architecture-Neutral Dynamic Analysis | Code Analyzer library

 by   panda-re C Version: qemu2.9.1-panda3.0.0 License: Non-SPDX

kandi X-RAY | panda Summary

kandi X-RAY | panda Summary

panda is a C library typically used in Code Quality, Code Analyzer applications. panda has no bugs, it has no vulnerabilities and it has medium support. However panda has a Non-SPDX License. You can download it from GitHub.

PANDA is an open-source Platform for Architecture-Neutral Dynamic Analysis. It is built upon the QEMU whole system emulator, and so analyses have access to all code executing in the guest and all data. PANDA adds the ability to record and replay executions, enabling iterative, deep, whole system analyses. Further, the replay log files are compact and shareable, allowing for repeatable experiments. A nine billion instruction boot of FreeBSD, e.g., is represented by only a few hundred MB. PANDA leverages QEMU's support of thirteen different CPU architectures to make analyses of those diverse instruction sets possible within the LLVM IR. In this way, PANDA can have a single dynamic taint analysis, for example, that precisely supports many CPUs. PANDA analyses are written in a simple plugin architecture which includes a mechanism to share functionality between plugins, increasing analysis code re-use and simplifying complex analysis development. It is currently being developed in collaboration with MIT Lincoln Laboratory, NYU, and Northeastern University. PANDA is released under the GPLv2 license.
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              panda has a medium active ecosystem.
              It has 2253 star(s) with 477 fork(s). There are 143 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 43 open issues and 408 have been closed. On average issues are closed in 204 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of panda is qemu2.9.1-panda3.0.0

            kandi-Quality Quality

              panda has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              panda has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              panda releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            panda Key Features

            No Key Features are available at this moment for panda.

            panda Examples and Code Snippets

            No Code Snippets are available at this moment for panda.

            Community Discussions

            QUESTION

            Installing scipy and scikit-learn on apple m1
            Asked 2022-Mar-22 at 06:21

            The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:

            ERROR: Failed building wheel for numpy

            Failed to build numpy

            ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly

            Why should Numpy be build again when I have the latest version from pip already installed?

            Every previous installation was done using python3.9 -m pip install ... on Mac OS 11.3.1 with the apple m1 chip.

            Maybe somebody knows how to deal with this error or if its just a matter of time.

            ...

            ANSWER

            Answered 2021-Aug-02 at 14:33

            Please see this note of scikit-learn about

            Installing on Apple Silicon M1 hardware

            The recently introduced macos/arm64 platform (sometimes also known as macos/aarch64) requires the open source community to upgrade the build configuation and automation to properly support it.

            At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:

            https://github.com/conda-forge/miniforge

            The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:

            https://github.com/scikit-learn/scikit-learn/issues/19137

            Source https://stackoverflow.com/questions/68620927

            QUESTION

            Error while downloading the requirements using pip install (setup command: use_2to3 is invalid.)
            Asked 2022-Mar-05 at 07:13

            version pip 21.2.4 python 3.6

            The command:

            ...

            ANSWER

            Answered 2021-Nov-19 at 13:30

            It looks like setuptools>=58 breaks support for use_2to3:

            setuptools changelog for v58

            So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.

            I was having the same problem, pip==19.3.1

            Source https://stackoverflow.com/questions/69100275

            QUESTION

            Mapping complex JSON to Pandas Dataframe
            Asked 2022-Feb-25 at 13:57

            Background
            I have a complex nested JSON object, which I am trying to unpack into a pandas df in a very specific way.

            JSON Object
            this is an extract, containing randomized data of the JSON object, which shows examples of the hierarchy (inc. children) for 1x family (i.e. 'Falconer Family'), however there is 100s of them in total and this extract just has 1x family, however the full JSON object has multiple -

            ...

            ANSWER

            Answered 2022-Feb-16 at 06:41

            I think this gets you pretty close; might just need to adjust the various name columns and drop the extra data (I kept the grouping column).

            The main idea is to recursively use pd.json_normalize with pd.concat for all availalable children levels.

            EDIT: Put everything into a single function and added section to collapse the name columns like the expected output.

            Source https://stackoverflow.com/questions/71104848

            QUESTION

            AttributeError: Can't get attribute 'new_block' on
            Asked 2022-Feb-25 at 13:18

            I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:

            ...

            ANSWER

            Answered 2021-Aug-26 at 14:53

            I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.

            Source https://stackoverflow.com/questions/68625748

            QUESTION

            How to update pandas DataFrame.drop() for Future Warning - all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only
            Asked 2022-Feb-13 at 19:56

            The following code:

            ...

            ANSWER

            Answered 2022-Feb-13 at 19:56

            From the documentation, pandas.DataFrame.drop has the following parameters:

            Parameters

            • labels: single label or list-like Index or column labels to drop.

            • axis: {0 or ‘index’, 1 or ‘columns’}, default 0 Whether to drop labels from the index (0 or ‘index’) or columns (1 or ‘columns’).

            • index: single label or list-like Alternative to specifying axis (labels, axis=0 is equivalent to index=labels).

            • columns: single label or list-like Alternative to specifying axis (labels, axis=1 is equivalent to columns=labels).

            • level: int or level name, optional For MultiIndex, level from which the labels will be removed.

            • inplace: bool, default False If False, return a copy. Otherwise, do operation inplace and return None.

            • errors: {‘ignore’, ‘raise’}, default ‘raise’ If ‘ignore’, suppress error and only existing labels are dropped.

            Moving forward, only labels (the first parameter) can be positional.

            So, for this example, the drop code should be as follows:

            Source https://stackoverflow.com/questions/68900763

            QUESTION

            Cannot set up a conda environment with python 3.10
            Asked 2022-Jan-31 at 10:35

            I am trying to set up a conda environment with python 3.10 installed. For some reason, no install commands for additional packages are working. For example, if I run conda install pandas, I get the error:

            ...

            ANSWER

            Answered 2021-Oct-08 at 08:42

            Thats a bug in conda, you can read more about it here: https://github.com/conda/conda/issues/10969

            Right now there is a PR to fix it but its not a released version. For now, just stick with

            Source https://stackoverflow.com/questions/69481608

            QUESTION

            ImportError: cannot import name 'ABCIndexClass' from 'pandas.core.dtypes.generic'
            Asked 2022-Jan-12 at 23:01

            I have this output :

            [Pandas-profiling] ImportError: cannot import name 'ABCIndexClass' from 'pandas.core.dtypes.generic'

            when trying to import pandas-profiling in this fashion :

            ...

            ANSWER

            Answered 2021-Aug-09 at 19:19

            Pandas v1.3 renamed the ABCIndexClass to ABCIndex. The visions dependency of the pandas-profiling package hasn't caught up yet, and so throws an error when it can't find ABCIndexClass. Downgrading pandas to the 1.2.x series will resolve the issue.

            Alternatively, you can just wait for the visions package to be updated.

            Source https://stackoverflow.com/questions/68704002

            QUESTION

            Merge two pandas DataFrame based on partial match
            Asked 2022-Jan-06 at 00:54

            Two DataFrames have city names that are not formatted the same way. I'd like to do a Left-outer join and pull geo field for all partial string matches between the field City in both DataFrames.

            ...

            ANSWER

            Answered 2021-Sep-12 at 20:24

            This should do the job. String match with Levenshtein_distance.

            pip install thefuzz[speedup]

            Source https://stackoverflow.com/questions/69125666

            QUESTION

            Create a new column in a Pandas DataFrame from existing column names
            Asked 2021-Nov-15 at 00:22

            I want to deconstruct a pandas DataFrame, using column headers as a new data-column and create a list with all combinations of the row index and columns. Easier to show than explain:

            ...

            ANSWER

            Answered 2021-Nov-09 at 23:58

            The structure that you want your data in is very messy, so this is probably the best method given the data you want.

            Source https://stackoverflow.com/questions/69906411

            QUESTION

            After conda update, python kernel crashes when matplotlib is used
            Asked 2021-Nov-06 at 19:03

            I have create this simple env with conda:

            ...

            ANSWER

            Answered 2021-Nov-06 at 19:03
            Update 2021-11-06
            • The default pkgs/main channel for conda has reverted to using freetype 2.10.4 for Windows, per main / packages / freetype.
            • If you are still experiencing the issue, use conda list freetype to check the version: freetype != 2.11.0
              • If it is 2.11.0, then change the version per the solution, or conda update --all (providing your default channel isn't changed in the .condarc config file).
            Solution
            • If this is occurring after installing Anaconda, updating conda or freetype since Oct 27, 2021.
            • Go to the Anaconda prompt and downgrade freetype 2.11.0 in any affected environment.
              • conda install freetype=2.10.4
            • Relevant to any package using matplotlib and any IDE
              • For example, pandas.DataFrame.plot and seaborn
              • Jupyter, Spyder, VSCode, PyCharm, command line.
            Discovery
            • An issue occurs after updating with the most current updates from conda, released Friday, Oct 29.
            • After updating with conda update --all, there's an issue with anything related to matplotlib in any IDE (not just Jupyter).
              • I tested this in JupyterLab, PyCharm, and python from the command prompt.
              • PyCharm: Process finished with exit code -1073741819
              • JupyterLab: kernel just restarts and there are no associated errors or Traceback
              • command prompt: a blank interactive matplotlib window will appear briefly, and then a new command line appears.
            • The issue seems to be with conda update --all in (base), then any plot API that uses matplotlib (e.g. seaborn and pandas.DataFrame.plot) kills the kernel in any environment.
            • I had to reinstall Anaconda, but do not do an update of (base), then my other environments worked.
            • I have not figured out what specifically is causing the issue.
            • I tested the issue with python 3.8.12 and python 3.9.7
            • Current Testing:
              • Following is the conda revision log.
              • Prior to conda update --all this environment was working, but after the updates, plotting with matplotlib crashes the python kernel

            Source https://stackoverflow.com/questions/69786885

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

            Vulnerabilities

            No vulnerabilities reported

            Install panda

            After successfully building PANDA, you can copy the build to a system-wide location by running make install. The default installation path is /usr/local. You can specify an alternate installation path through the prefix configuration option. E.g. --prefix=/opt/panda. Note that your system must have chrpath installed in order for make install to succeed.

            Support

            PANDA uses the LLVM architecture from the S2E project. This allows translating the TCG intermediate code representation used by QEMU, to LLVM IR. The latter has the advantages of being easier to work with, as well as platform independent. This enables the implementation of complex analyses like the taint2 plugin. The S2E files used by PANDA to support taint analysis have been updated to work with LLVM 11.
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            https://github.com/panda-re/panda.git

          • CLI

            gh repo clone panda-re/panda

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            git@github.com:panda-re/panda.git

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