tswift | MetroLyrics API for Python | REST library

by brenns10 Python Version: 0.7.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | tswift Summary

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

MetroLyrics API for Python

Support

Quality

Security

License

Reuse

Support

tswift has a low active ecosystem.

It has 51 star(s) with 15 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tswift is 0.7.0

Quality

tswift has 0 bugs and 0 code smells.

Security

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

tswift code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

tswift is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tswift 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.

tswift saves you 72 person hours of effort in developing the same functionality from scratch.

It has 186 lines of code, 14 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Download all songs from an artist
Load artists from the artist list
Format the song
Format the lyrics
Find song by lyrics
List of lyrics
Load the lyrics from the url
List of songs

Get all kandi verified functions for this library.

tswift Key Features

No Key Features are available at this moment for tswift.

tswift Examples and Code Snippets

No Code Snippets are available at this moment for tswift.

Community Discussions

Trending Discussions on tswift

An unclear requirements.txt error which results in not being able to install

I am trying to stack the cards side by side I have tried the following

Performance difference of Tensorflow lite in Android and iOS

Mac OS; Python3; FileNotFoundError: [Errno 2] No such file or directory: ''. How to fix it?

QUESTION

An unclear requirements.txt error which results in not being able to install

Asked 2021-Jan-17 at 12:41

From today, I started getting error while installing modules from requirements.txt, I tried to find the error module and remove it but I couldn't find.

...

ANSWER

Answered 2021-Jan-17 at 12:41

Create a list of all the dependencies and run the following code.

Source https://stackoverflow.com/questions/65759809

QUESTION

I am trying to stack the cards side by side I have tried the following

Asked 2020-Aug-20 at 12:34

Below is where I think the issue is to fix the card display issue

I appreciate your help so much.

...

ANSWER

Answered 2020-Aug-20 at 12:34

Check out this snippet:

Source https://stackoverflow.com/questions/63504610

QUESTION

Performance difference of Tensorflow lite in Android and iOS

Asked 2020-Jun-22 at 16:22

I've trained a model to detect custom objects to be used in mobile devices (Android and iOS), my code is based in the tensorflow's examples for iOS and Android. During my tests I've been noticing a difference in performande on Android app and iOS app.

Some examples of performance (number of objects detected):

IMG - iOS - Android

img1 - 57 - 74

img2 - 9 - 33

img3 - 43 - 78

img4 - 17 - 25

I'm using a confidence thresh of 70% in both platforms. The real number of objects is a bit more than Android's result.

I did transfer learning using the ssd_mobilenet_v2_quantized_coco from the tensorflow model zoo and samples anotated by labelImg. The training process I did on google cloud following this tutorial.

My question is: What should I investigate to know the reason of the performance difference and fix it? My model should give the same result for the customer in both mobile platforms.

If it's something unclear please let me know, any help would be great. Thanks!

...

ANSWER

Answered 2020-Jun-22 at 16:22

As far as could research, the problem is with the tensorflow example app. The Android version works fine, but the iOS version has something wrong with preprocessing logic. For floating-point models, the problem has been solved in this github issue some days ago, but for quantized models it's still not solved (my case). If someone is interested in contribute or be in touch with more details on this, chek out the issue I've opened on github.

Source https://stackoverflow.com/questions/62411220

QUESTION

Mac OS; Python3; FileNotFoundError: [Errno 2] No such file or directory: ''. How to fix it?

Asked 2020-May-10 at 21:15

I'm quit new at Python, and tried to launch the script

convert_to_tfrecord.py

(Neural Networks; It should train dataset of Images with some libraries ...)

Instruction:

Now you’re ready to run the TFRecord script. Run the command below from the tensorflow/models/research directory, and pass it the following flags (run it twice: once for training data, once for test data):

...

ANSWER

Answered 2018-Mar-28 at 10:36

The code is set up to interpret all files in --images_dir to some image processing machinery. This means that any non-image resources in the --images_dir will cause the script to break.

One solution is to ensure --images_dir contains only image files (i.e. ensure that directory doesn't contain XML files or files that begin with a ., like .git or .DS_Store.

Another solution would be to modify the source code itself to only work on image files. Something like this could be used:

Source https://stackoverflow.com/questions/49477633

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

Vulnerabilities

No vulnerabilities reported

Install tswift

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