gitdb | IO of git-style object databases

by gitpython-developers Python Version: 4.0.11 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | gitdb Summary

gitdb is a Python library. gitdb has build file available and it has low support. However gitdb has 3 bugs, it has 6 vulnerabilities and it has a Non-SPDX License. You can install using 'pip install gitdb' or download it from GitHub, PyPI.

IO of git-style object databases

Support

Quality

Security

License

Reuse

Support

gitdb has a low active ecosystem.

It has 126 star(s) with 50 fork(s). There are 16 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 7 open issues and 29 have been closed. On average issues are closed in 105 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gitdb is 4.0.11

Quality

gitdb has 3 bugs (0 blocker, 0 critical, 3 major, 0 minor) and 27 code smells.

Security

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

gitdb code analysis shows 6 unresolved vulnerabilities (0 blocker, 6 critical, 0 major, 0 minor).

There are 1 security hotspots that need review.

License

gitdb 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.

Reuse

gitdb 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.

gitdb saves you 1400 person hours of effort in developing the same functionality from scratch.

It has 3127 lines of code, 329 functions and 39 files.

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

Top functions reviewed by kandi - BETA

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

Sets cache without c
Applies the delta chunk to the buffer
Apply a delta list to each dcl
Apply the delta to the buffer
Initialize the cache
Convert data to text
Return db path for given relative path
Checks the integrity of the circuit
Bound of the interval
Return the index of a given sha
Return the byte ord of b
Return a list of streams for the given offset
Packs an object at the specified offset
Parses a packed object header
Set the value of the cache
A tuple of the offsets in the stream
Create a pack
Writes the contents of an iterable object to a pack
Create pack object header
Create a new data stream
Return an iterator that yields objects from the stream
Return the info at the given offset
Return True if there is an object with the given sha
Return the stream at the specified offset
Set cache attribute
Set cache attributes

Get all kandi verified functions for this library.

gitdb Key Features

No Key Features are available at this moment for gitdb.

gitdb Examples and Code Snippets

No Code Snippets are available at this moment for gitdb.

Community Discussions

Trending Discussions on gitdb

unable to use jq inside docker container even after installing jq as part of the dockerfile

TypeScript, convert type 'string | undefined' to type 'string'

Can't deploy streamlit app on share.streamlit.io

css "tooltips" for both mouse hover & keyboard focus

What causes Python packages installed with pipenv to not be found when called in script?

Heroku: Compiled Slug Size is too large Python

How to install PyCaret in AWS Glue

Conda - how to update only cudatoolkit in an existing environment?

PackagesNotFoundError on conda

Salt states. If variables have some word in stdout

QUESTION

unable to use jq inside docker container even after installing jq as part of the dockerfile

Asked 2022-Apr-07 at 21:40

I am facing a weird error where I have installed a package within my docker image but when I try to use it, it says package/command not found. Below are the details

Dockerfile: RUN statement

...

ANSWER

Answered 2022-Apr-07 at 21:40

pip install jq installs the Python bindings for jq, not the binary itself (source).So, this lets you do something like import jq inside a python script, but does not install a binary that you can call in the terminal.

If you need the terminal command jq, install it as a OS package using the respective package managers. For example, for Debian, Ubuntu or relatives:

sudo apt-get install jq

Source https://stackoverflow.com/questions/71789124

QUESTION

TypeScript, convert type 'string | undefined' to type 'string'

Asked 2022-Mar-04 at 08:11

I have this piece of code where I want to convert test variable which is of type string | undefined to testString of type string. I need help to define the logic to change the type.

...

ANSWER

Answered 2022-Mar-04 at 07:51

You need to define the behaviour that should occur when the string is undefined.

If you want an empty string instead of undefined you could do something like this:

Source https://stackoverflow.com/questions/71348070

QUESTION

Can't deploy streamlit app on share.streamlit.io

Asked 2021-Dec-25 at 14:42

I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following:

...

ANSWER

Answered 2021-Dec-25 at 14:42

Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.

Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.

After deleting these requirements re-deploy your app and it will work.

Source https://stackoverflow.com/questions/70480314

QUESTION

css "tooltips" for both mouse hover & keyboard focus

Asked 2021-Sep-08 at 08:28

preable

I have a website where I document a list of installed pythonic libraries.

For each library, I want to have available:

The name of the library (obviously)
A link to the documentation for the library (because documentation is useful)
A brief description of the library (so people can quickly see what the library does)
The currently installed version (to stop people asking me "Are you using version x.y?")

My current solution is to use the name as the text of a link, href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a title attribute

Example:

...

ANSWER

Answered 2021-Sep-08 at 08:25

Use focus-within rather than focus

Source https://stackoverflow.com/questions/69099284

QUESTION

What causes Python packages installed with pipenv to not be found when called in script?

Asked 2021-Sep-06 at 19:54

On a Windows 10 machine with Python 3.9.5 and pipenv 2021.5.29. In a pipenv shell:

...

ANSWER

Answered 2021-Sep-06 at 19:54

The answer is quite simple. The line that calls the Python executable should be

pipenv run python model.py

instead of

python model.py

as pointed out in the accepted answer to this question.

Source https://stackoverflow.com/questions/68841013

QUESTION

Heroku: Compiled Slug Size is too large Python

Asked 2021-Jul-21 at 06:50

I trying to deploy my app to heroku

I have following deploying error

...

ANSWER

Answered 2021-Jul-21 at 06:50

The maximum allowed slug size is 500MB. Slugs are an important aspect for heroku. When you git push to Heroku, your code is received by the slug compiler which transforms your repository into a slug.

First of all, lets determine what all files are taking up a considerate amount of space in your slug. To do that, fire up your heroku cli and enter / access your dyno by typing the following:

Source https://stackoverflow.com/questions/68464527

QUESTION

How to install PyCaret in AWS Glue

Asked 2021-Jul-08 at 17:01

How can I properly install PyCaret in AWS Glue?

Methods I tried:

--additional-python-modules and --python-modules-installer-option
Python library path
easy_install as described in Use AWS Glue Python with NumPy and Pandas Python Packages

I am using Glue Version 2.0. I used --additional-python-modules and set to pycaret as shown in the picture.

Then I got this error log.

...

ANSWER

Answered 2021-Jul-08 at 17:01

I reached out to AWS support. Meghana was in charge of this case.

Here is the reply:

Source https://stackoverflow.com/questions/68260888

QUESTION

Conda - how to update only cudatoolkit in an existing environment?

Asked 2021-Mar-22 at 03:02

This is a specific instance of a general problem that I run into when updating packages using conda. I have an environment that is working great on machine A. I want to transfer it to machine B. But, machine A has GTX1080 gpus, and due to configuration I cannot control, requires cudatoolkit 10.2. Machine B has A100 gpus, and due to configuration I cannot control, requires cudatoolkit 11.1

I can easily export Machine A's environment to yml, and create a new environment on Machine B using that yml. However, I cannot seem to update cudatoolkit to 11.1 on that environment on Machine B. I try

...

ANSWER

Answered 2021-Mar-22 at 03:02

Overly-Restrictive Constraints

I'd venture the issue is that recreating from a YAML that includes versions and builds will establish those versions and builds as explicit specifications for that environment moving forward. That is, Conda will regard explicit specifications as hard requirements that it cannot mutate and so if even a single one of the dependencies of cudatoolkit also needs to be updated in order to use version 11, Conda will not know how to satisfy it without violating those previously specified constraints.

Specifically, this is what I see when searching (assuming linux-64 platform):

Source https://stackoverflow.com/questions/66734416

QUESTION

PackagesNotFoundError on conda

Asked 2021-Mar-17 at 21:31

I am trying to recreate a conda environment. From one environment I executed conda list --export > req.txt
and now I am trying to recreate a new environment with the same packages using
conda create --name --file req.txt

I get the following error:

...

ANSWER

Answered 2021-Mar-17 at 21:31

The pypi in the build imply that these packages were all installed from PyPI, presumably using pip. The conda list --export does not capture pip-installed packages in a form that allows for recreating the environment. Instead, try dumping to a YAML, which will discriminate such packages and make it possible to recreate the environment:

Source https://stackoverflow.com/questions/66678166

QUESTION

Salt states. If variables have some word in stdout

Asked 2021-Mar-10 at 10:54

There is a web page with a large piece of text on it.

I want to configure the state to perform a certain action if curl returns an error.

If the variable doesn't contain 'StatusDescription : OK'

How can I set up a check for a piece of text that is inside a variable

...

ANSWER

Answered 2021-Mar-10 at 10:54

I want to configure the state to perform a certain action if curl returns an error.

There is a Salt state called http which can query a URL and return the status. Using this (instead of curl) we can check for the status code(s) (200, 201, etc.), as well as matching text. Then we can use requisites to run subsequent states depending on the success/failure of the http.query.

Example:

I have added a check for status code of 200, you can omit - status: 200 if you don't care about the status code.

Source https://stackoverflow.com/questions/66560366

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

Vulnerabilities

No vulnerabilities reported

Install gitdb

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