pyyaml | Canonical source repository for PyYAML | REST library

 by   yaml Python Version: 6.0b1 License: MIT

kandi X-RAY | pyyaml Summary

kandi X-RAY | pyyaml Summary

pyyaml is a Python library typically used in Web Services, REST, Framework applications. pyyaml has no bugs, it has build file available, it has a Permissive License and it has high support. However pyyaml has 4 vulnerabilities. You can install using 'pip install pyyaml' or download it from GitHub, PyPI.

A full-featured YAML processing framework for Python.

            kandi-support Support

              pyyaml has a highly active ecosystem.
              It has 2179 star(s) with 451 fork(s). There are 51 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 181 open issues and 288 have been closed. On average issues are closed in 102 days. There are 83 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of pyyaml is 6.0b1

            kandi-Quality Quality

              pyyaml has 0 bugs and 0 code smells.

            kandi-Security Security

              pyyaml has 4 vulnerability issues reported (4 critical, 0 high, 0 medium, 0 low).
              pyyaml code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyyaml is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyyaml 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.
              Installation instructions, examples and code snippets are available.
              pyyaml saves you 6281 person hours of effort in developing the same functionality from scratch.
              It has 6974 lines of code, 563 functions and 45 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyyaml and discovered the below as its top functions. This is intended to give you an instant insight into pyyaml implemented functionality, and help decide if they suit your requirements.
            • Represent the object
            • Represent a mapping
            • Represent a sequence
            • Represent the given data
            • Run build
            • Serialize data to stream
            • Dump a sequence of documents to a stream
            • Construct a timestamp from the given node
            • Recursively reconstruct a scalar value
            • Expect the first flow mapping key
            • Emit events
            • Return pairs of YAML pairs
            • Represent a float value
            • Parse an implicit document start event
            • Construct a byte string from a node
            • Construct YAML representation of node
            • Expect a flow sequence item
            • Add an implicit resolver
            • Parse an indentation sequence entry
            • Determine the encoding
            • Constructs a mapping from node
            • Highlight tokens
            • Construct a YAML float from a node
            • Run the build extension
            • Construct a YAML mapping from a YAML node
            • Expect a mapping key
            Get all kandi verified functions for this library.

            pyyaml Key Features

            No Key Features are available at this moment for pyyaml.

            pyyaml Examples and Code Snippets

            pyyaml - yaml
            Pythondot img1Lines of Code : 271dot img1License : Permissive (MIT License)
            copy iconCopy
            Lexer for YAML, a human-friendly data serialization language
            Written by Kirill Simonov .
            License: Whatever suitable for inclusion into the Pygments package.
            from pygments.lexer import  \
            pyyaml - yaml hl
            Pythondot img2Lines of Code : 103dot img2License : Permissive (MIT License)
            copy iconCopy
            import yaml, codecs, sys, os.path, optparse
            class Style:
                def __init__(self, header=None, footer=None,
                        tokens=None, events=None, replaces=None):
                    self.header = header
                    self.footer = footer

            Community Discussions


            Error when running pip install -r requirements.txt
            Asked 2022-Mar-31 at 07:22

            to build and run a local instance, im following the tutorial at but i use the git repo instead of for the "git clone" command, as the link in the tutorial does not exist. i am also using venv, and not virtualenv, as i was not able to make virtualenv work.

            i then get to the step to run the following command



            Answered 2022-Mar-31 at 07:21

            You are using python 3.10 which does not have a whl file available on PyPi for pywin32==227. Try the installation with a lower python version e.g. 3.9



            PIP failed to build package cytoolz
            Asked 2022-Mar-26 at 18:26

            I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying



            Answered 2022-Jan-02 at 09:59

            I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.



            Poetry | AttributeError 'Link' object has no attribute 'name'
            Asked 2022-Mar-23 at 10:22

            I want to install packages from poetry.lock file; using poetry install.

            However, the majority of packages throw the exact same error, indicating a shared fundamental problem.

            What is causing this? What is the standard fix?


            • Windows 10,
            • Visual Studio Code,
            • Python 3.8.10 & Poetry 1.1.11,
            • Ubuntu Bash.


            • rm poetry.lock
            • poetry update
            • poetry install


            Answered 2022-Mar-23 at 10:22

            This looks to be an active issue relating to poetry. See here - Issue #4085. Some suggest a workaround by downgrading poetry-core down to 1.0.4.

            There is an active PR to fix the issue.



            Ruyaml: Possible to define line width?
            Asked 2022-Feb-21 at 15:50

            Is it possible to set YAML line width, when dumping to file with ruyaml?

            When dumping a YAML object to file with pyyaml and its content is fairly long 82+(or something similar) characters, there is a row break inserted. This can be circumvented by giving the parameter "width" to the dump function, where you can either give a specific length or as in the example below "inf".

            That possibility seems to be missing in ruyaml.



            Answered 2022-Feb-21 at 14:33

            Stumbled upon the "width" member variable on the YAML instance, seems to have the same effect as sending width=X to PyYaml dump function.



            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:



            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason



            AWS Elastic Beanstalk - Failing to install requirements.txt on deployment
            Asked 2022-Feb-05 at 22:37

            I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.




            Answered 2022-Feb-05 at 22:37

            The error says MemoryError. You must upgrade your ec2 instance to something with more memory. tensorflow is very memory hungry application.



            How to install local package with conda
            Asked 2022-Feb-05 at 04:16

            I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

            But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

            So I did the following:

            1. write a simple meta.yaml so I could use conda-build to build jive locally
            2. build jive with conda build .
            3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
            4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
            5. create a conda env using that environment.yml.

            When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python install, I can import it.) How can I fix the build/install so that this works?

            Here is the meta.yaml, which lives in the jive project top level directory:



            Answered 2022-Feb-05 at 04:16

            The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.

            I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).

            Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").

            Try adjusting the meta.yaml to something like



            How to make conda use its own gcc version?
            Asked 2021-Dec-12 at 16:12

            I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:



            Answered 2021-Dec-12 at 16:12

            Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda gcc as described in the documentation instead of the system gcc.



            Can't install Azure packages with pip: ruamel.yaml error
            Asked 2021-Nov-27 at 17:57

            I'm having trouble installing the following packages in a new python 3.9.7 virtual environment on Arch Linux.

            My requirements.txt file:



            Answered 2021-Nov-27 at 17:57

            The ruamel.yaml documentation states that it should be installed using:



            Tensorflow Object Detection API taking forever to install in a Google Colab and failing
            Asked 2021-Nov-19 at 00:16

            I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.



            Answered 2021-Nov-19 at 00:16

            I have solved this problem with


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


            A vulnerability was discovered in the PyYAML library in versions before 5.4, where it is susceptible to arbitrary code execution when it processes untrusted YAML files through the full_load method or with the FullLoader loader. Applications that use the library to process untrusted input may be vulnerable to this flaw. This flaw allows an attacker to execute arbitrary code on the system by abusing the python/object/new constructor. This flaw is due to an incomplete fix for CVE-2020-1747.
            PyYAML 5.1 through 5.1.2 has insufficient restrictions on the load and load_all functions because of a class deserialization issue, e.g., Popen is a class in the subprocess module. NOTE: this issue exists because of an incomplete fix for CVE-2017-18342.

            Install pyyaml

            To install, type python install. By default, the script checks whether LibYAML is installed and if so, builds and installs LibYAML bindings. To skip the check and force installation of LibYAML bindings, use the option --with-libyaml: python --with-libyaml install. To disable the check and skip building and installing LibYAML bindings, use --without-libyaml: python --without-libyaml install.


            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:

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