speck | Python test helper that lets you write assertions | Assertion library

by vaz Python Version: Current License: WTFPL

X-Ray Key Features Code Snippets Community Discussions(9)Vulnerabilities Install Support

kandi X-RAY | speck Summary

speck is a Python library typically used in Testing, Assertion applications. speck 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 speck' or download it from GitHub, PyPI.

Speck is going to give to Python:.

Support

Quality

Security

License

Reuse

Support

speck has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

speck has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speck is current.

Quality

speck has 0 bugs and 0 code smells.

Security

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

speck code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

speck is licensed under the WTFPL License. This license is Permissive.

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

Reuse

speck 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.

It has 721 lines of code, 76 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Check setuptools .
Extract all members of the archive .
Download a setuptools package .
Download setuptools .
Return a list of words .
Removes a flat installation .
Create fake setuptools package info
Decorator factory .
Build an egg from a tarball .
Install Distribute .

Get all kandi verified functions for this library.

speck Key Features

No Key Features are available at this moment for speck.

speck Examples and Code Snippets

No Code Snippets are available at this moment for speck.

Community Discussions

Trending Discussions on speck

Boxing large objects in image containing both large and small objects of similar color and in high density from a picture

Removing scanning artifacts from an image, leaving only text (OpenCV + Python)

how to get all child with specific value from Firebase android kotlin?

How to resolve pandas length error for rows/columns

how to convert every row as column and value before colon into column name

Flutter fetch data from SQLite into Object/Model

POJO equivalent for json?

Inserting data from csv file to mongodb

Implementation of Speck cipher

QUESTION

Boxing large objects in image containing both large and small objects of similar color and in high density from a picture

Asked 2021-Oct-12 at 10:58

For my research project I'm trying to distinguish between hydra plant (the larger amoeba looking oranges things) and their brine shrimp feed (the smaller orange specks) so that we can automate the cleaning of petri dishes using a pipetting machine. An example of a snap image from the machine of the petri dish looks like so:

I have so far applied a circle mask and an orange color space mask to create a cleaned up image so that it's mostly just the shrimp and hydra.

There is some residual light artifacts left in the filtered image, but I have to bite the cost or else I lose the resolution of the very thin hydra such as in the top left of the original image.

I was hoping to box and label the larger hydra plants but couldn't find much applicable literature for differentiating between large and small objects of similar attributes in an image, to achieve my goal.

I don't want to approach this using ML because I don't have the manpower or a large enough dataset to make a good training set, so I would truly appreciate some easier vision processing tools. I can afford to lose out on the skinny hydra, just if I can know of a simpler way to identify the more turgid, healthy hydra from the already cleaned up image that would be great.

I have seen some content about using openCV findCountours? Am I on the right track?

Attached is the code I have so you know what datatypes I'm working with.

...

ANSWER

Answered 2021-Oct-12 at 10:58

You are on the right track, but I have to be honest. Without DeepLearning you will get good results but not perfect.

That's what I managed to get using contours:

Code:

Source https://stackoverflow.com/questions/69503515

QUESTION

Removing scanning artifacts from an image, leaving only text (OpenCV + Python)

Asked 2021-Apr-18 at 22:43

I'm trying to write a Python script that would "clean up" scanned images before they can be processed with Tesseract. Apart from text, the images also have some dust, scanning artifacts, weird lines at the page margins, and so on. Here's what a typical page looks like

So far, here's what I have. It tries to remove little speck of dust using cv2.ConnectedComponentsWithStats, removes horizontal and vertical lines using morphological structuring elements, and then tries to crop the image to the text. It's better than nothing since it does remove some noise, but at times it also removes actual text, and leaves some lines at the page margins:

...

ANSWER

Answered 2021-Apr-18 at 22:43

I would first call pytesseract.image_to_data() on the entire image. This will give you the position and OCR confidence of all the detected words (including invalid characters at the page edge). Then determine the region containing valid text based on the position of the words at high confidence. Finally, use pytesseract.image_to_string() on that region to obtain the text (or filter the results from pytesseract.image_to_data() that you already have).

This approach works for the given example. If you want to remove the specks of dust you could look into "salt and pepper noise filtering" but it seems to be unnecessary.

Source https://stackoverflow.com/questions/67146270

QUESTION

how to get all child with specific value from Firebase android kotlin?

Asked 2021-Feb-28 at 16:14

I want to get just color item in the image from all user in my database. I try this

...

ANSWER

Answered 2021-Feb-28 at 16:14

You'll need to navigate over the dataSnapshot in your onDataChange to get to the correct child nodes.

To navigate a DataSnapshot object you have two main approaches:

You already know the key of the child you want to access, in which case you use the child() method to access that specific child node. For example, you could read the marked child in the JSON with dataSnapshot.child("Turcia/Adana/Çukurova University/Faculty of Business").children.map, similarly to what you already tried on the reference.
You don't know the key of the child nodes, in which case you loop over the getChildren() property of the snapshot. For an example of the latter, see the Firebase documentation on listening for value events on a list of children.

I think you're looking for the second approach here, but in any case you're dealing with DataSnapshots, there are the ways to get at the data in there.

Source https://stackoverflow.com/questions/66409491

QUESTION

How to resolve pandas length error for rows/columns

Asked 2020-Oct-06 at 07:19

I have raised the SO Question here and blessed to have an answer from @Scott Boston.

However i am raising another question about an error ValueError: Columns must be same length as key as i am reading a text file and all the rows/columns are not of same length, i tried googling but did not get an answer as i don't want them to be skipped.

Error ...

ANSWER

Answered 2020-Oct-06 at 01:06

I couldn't figure out a pandas way to extend the columns, but converting the rows to a dictionary made things easier.

Source https://stackoverflow.com/questions/64213828

QUESTION

how to convert every row as column and value before colon into column name

Asked 2020-Oct-05 at 16:16

I am reading a file called kids_csv with header=None option, this file contains every row with specific alphabets along with : like ab:, ad: etc, I want the entire row to become a column where like ab: that's starting off the line needs to be designated as a column name.

below is my dataframe:

...

ANSWER

Answered 2020-Oct-05 at 16:11

Try this:

Source https://stackoverflow.com/questions/64212116

QUESTION

Flutter fetch data from SQLite into Object/Model

Asked 2020-Jun-23 at 12:43

I have a project where I have to display in a listview some recipes. Those recipes I want to fetch from a sqlite database.I tried some different ways and I am able to get the Data but dont know how to get it into the model. Everything is working fine, when I hardcode all the recipes into my model(recipe.dart):

...

ANSWER

Answered 2020-Jun-23 at 12:43

I think you're looking for something like this:

Source https://stackoverflow.com/questions/62529168

QUESTION

POJO equivalent for json?

Asked 2020-May-09 at 19:04

How would a pojo for this kind of json look like?

...

ANSWER

Answered 2020-May-09 at 18:46

Your variable name should be only ‘data’ instead of dataList.

Source https://stackoverflow.com/questions/61701788

QUESTION

Inserting data from csv file to mongodb

Asked 2020-Jan-12 at 11:42

Made a route in flask to read data from csv file and insert in mongodb. This is my first time writing python code so i'm trying few things what i want to do in my project.

...

ANSWER

Answered 2020-Jan-12 at 11:42

You've mostly answered your own question but to cover your issue, the pymongo drivers will always add an _id field to the data on insertion.

When a document is inserted a special key, "_id", is automatically added if the document doesn’t already contain an "_id" key. Reference

See this simple example. If you don't want the _id field, just pop it after the insert; alternatively you can take a copy of the data into a new variable before inserting it.

Source https://stackoverflow.com/questions/59698299

QUESTION

Implementation of Speck cipher

Asked 2020-Jan-08 at 14:22

I am trying to implement the speck cipher as specified here: Speck Cipher. On page 18 of the document you can find some speck pseudo-code I want to implement.

It seems that I got a problem on understanding the pseudo-code. As you can find there, x and y are plaintext words with length n. l[m-2],...l[0], k[0] are key words (as for words, they have length n right?). When you do the key expansion, we iterate for i from 0 to T-2, where T are the round numbers (for example 34). However I get an IndexOutofBoundsException, because the array with the l's has only m-2 positions and not T-2.

Can someone clarify what the key expansions does and how?

...

ANSWER

Answered 2020-Jan-08 at 14:22

Ah, I get where the confusion lies:

Source https://stackoverflow.com/questions/59641203

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

Vulnerabilities

No vulnerabilities reported

Install speck

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