tissue | Tissue - Blender 's add-on for computational design | Addon library

 by   alessandro-zomparelli Python Version: v0-3-54 License: No License

kandi X-RAY | tissue Summary

kandi X-RAY | tissue Summary

tissue is a Python library typically used in Plugin, Addon applications. tissue has no bugs, it has no vulnerabilities and it has medium support. However tissue build file is not available. You can download it from GitHub.

Tissue - Blender's add-on for computational design by Co-de-iT Tissue is already shipped with both Blender. However I recommend to update the default version downloading manually the most recent one, for more updated features and more stability.
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            kandi-support Support

              tissue has a medium active ecosystem.
              It has 933 star(s) with 74 fork(s). There are 79 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 26 open issues and 99 have been closed. On average issues are closed in 115 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tissue is v0-3-54

            kandi-Quality Quality

              tissue has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              tissue does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              tissue releases are available to install and integrate.
              tissue has no build file. You will be need to create the build yourself to build the component from source.
              tissue saves you 5145 person hours of effort in developing the same functionality from scratch.
              It has 11680 lines of code, 274 functions and 14 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tissue and discovered the below as its top functions. This is intended to give you an instant insight into tissue implemented functionality, and help decide if they suit your requirements.
            • Split a tissue polyhedra
            • Flatten a vector onto a given vector
            • Convert an object into a mesh
            • Return the angle of a vector
            • Execute the tesssellate
            • Merge components
            • Get weight from vertex group
            • Calculate weight for a bmesh basis
            • Edit vertex groups
            • Execute Bmesh
            • Edit vertex groups
            • Render selected objects
            • Execute Mesh objects
            • Compute the surface of the object
            • Execute Bmesh algorithm
            • Evaluate the plot
            • Creates a fast bake_diff
            • Draws the reaction line
            • Compute the mesh material
            • Execute the object
            • Function to convert object to Mesh
            • Draw the composition
            • Execute Bmesh
            • Draw tex_diffusion
            • Initialize Mesh
            • Add vertex colors
            Get all kandi verified functions for this library.

            tissue Key Features

            No Key Features are available at this moment for tissue.

            tissue Examples and Code Snippets

            No Code Snippets are available at this moment for tissue.

            Community Discussions

            QUESTION

            R: How do I sort a dataframe based on a numeric vector?
            Asked 2022-Apr-10 at 19:29

            I want to calculate the fold change between thyroid and testes dataframe using TPM values and provide the top 10 genes overexpressed in testes tissue (testes$gene_id in the testes dataframe).

            In my code below, I first calculated the fold change and store it as a numeric vector tpm.foldchange but then I don't know how to sort the gene_id column of the testes dataframe based on the sorted fold-change values tpm.foldchange.

            ...

            ANSWER

            Answered 2022-Apr-10 at 19:29

            If we want to order by the foldchange, do a join first, and arrange based on the foldchange between the 'TPM' columns

            Source https://stackoverflow.com/questions/71819518

            QUESTION

            from long to wide format multiple variables in R
            Asked 2022-Mar-30 at 22:59

            I have a table in long format like this:

            ...

            ANSWER

            Answered 2022-Mar-30 at 22:59

            I am not aware of a function that can solve this puzzle all at once in R language, but you can use a for loop to rearrange you data frame.

            The code is presented below:

            Source https://stackoverflow.com/questions/71663176

            QUESTION

            Problem with counting times a parameter is in a certain range
            Asked 2022-Mar-30 at 21:04

            I am trying to count how many times a value, "i", is in the range i<0.5. I am counting from a csv file. To be clear, I only want the number of times to be appended to a dictionary. I will post my code and the result I get. the result I want is like this:(86 is a place holder, not the actual number that is true) {'0.0-0.5':[86].....

            input:

            ...

            ANSWER

            Answered 2022-Mar-30 at 21:04

            Okay, let's say you have a toy data frame.

            Source https://stackoverflow.com/questions/71683905

            QUESTION

            generate and ID based in one condition
            Asked 2022-Mar-30 at 09:30

            I have 100 pdf medical reports of different persons, I included each report into a list in R, they have two columns with a lot of different information each one, but I just want the reports that have the gallbladder tissue, so I want to create an ID for the all report nut only the rows that contain the word "gallbladder". Then I want to filter only the gallbladder reports to extract further information. These is how it looks each element of the list (They have much more information)

            ...

            ANSWER

            Answered 2022-Mar-29 at 15:14

            We may loop over the list with lapply, then create the ID, column by checking if there are any value in 'text_2' column as "gallbladder" - any ensure to return a single TRUE/FALSE which gets recycled for the entire data in the list and this logical column is coerced to binary with as.integer or just +

            Source https://stackoverflow.com/questions/71664600

            QUESTION

            Printing formatted dictionary elements into a file
            Asked 2022-Mar-27 at 19:25

            I have the following dictionary:

            ...

            ANSWER

            Answered 2022-Mar-27 at 19:10
            file.write(str(sorted_dict)
            

            Source https://stackoverflow.com/questions/71639451

            QUESTION

            How can I change an item that is a tuple inside a dict
            Asked 2022-Mar-27 at 11:39

            I am trying to make a function that converts the currency in a given dict:

            ...

            ANSWER

            Answered 2022-Mar-27 at 11:24

            Is this what you need? In your current code converted_dict doesn't contain key "2" because its price is in Rubel. If you need to add it. Below code will work.

            Source https://stackoverflow.com/questions/71635780

            QUESTION

            Can a 3D numpy array be converted into a 3D image in Python?
            Asked 2022-Mar-22 at 21:20

            I made the following virtual "room" in a 3D array and would like to visualize it. I can't find a way to do so, please assist. The idea is to see a "3D image" of the array as a plot where the different values have different colours or just greyscale intensities, so that you can see the "patient" and the "detector" inside the "room":

            ...

            ANSWER

            Answered 2022-Mar-21 at 22:25

            You can create a 3 dimensional mesh grid with the help of matplotlib and numpy. Here is an example of such a plot. You just want to feed in your X,Y, and Z values as lists

            import numpy as np import matplotlib.pyplot as plt

            Source https://stackoverflow.com/questions/71564747

            QUESTION

            Using R to fetch a Pubmed abstract by using its title
            Asked 2022-Mar-20 at 15:05

            I have been trying for a while to fetch Pubmed abstracts by using its title. For istance, if I put the following title on the pubmPd mask @ https://pubmed.ncbi.nlm.nih.gov/ :

            A Pituitary-Derived MEG3 Isoform Functions as a Growth Suppressor in Tumor Cells

            I obtain a page showing the following abstract:

            Abstract Human pituitary adenomas are the most common intracranial neoplasm. Typically monoclonal in origin, a somatic mutation is a prerequisite event in tumor development. To identify underlying pathogenetic mechanisms in tumor formation, we compared the difference in gene expression between normal human pituitary tissue and clinically nonfunctioning pituitary adenomas by cDNA-representational difference analysis. We cloned a cDNA, the expression of which was absent in these tumors, that represents a novel transcript from the previously described MEG3, a maternal imprinting gene with unknown function. It was expressed in normal human gonadotrophs, from which clinically nonfunctioning pituitary adenomas are derived. Additional investigation by Northern blot and RT-PCR demonstrated that this gene was also not expressed in functioning pituitary tumors as well as many human cancer cell lines. Moreover, ectopic expression of this gene inhibits growth in human cancer cells including HeLa, MCF-7, and H4. Genomic analysis revealed that MEG3 is located on chromosome 14q32.3, a site that has been predicted to contain a tumor suppressor gene involved in the pathogenesis of meningiomas. Taken together, our data suggest that MEG3 may represent a novel growth suppressor, which may play an important role in the development of human pituitary adenomas.

            Is there any command in R packages that could do the same? I have been playing with some tools like 'easyPubmed', 'Rentrez', etc, but I was a little intimidated by their complexity. Thanks in advance.

            ...

            ANSWER

            Answered 2022-Mar-20 at 14:23

            We can use rvest to get the abstract by submitting form.

            Source https://stackoverflow.com/questions/71546805

            QUESTION

            Creating a subgraph using Cypher projection
            Asked 2022-Feb-09 at 19:23

            I am trying to create a subgraph of my graph using Cypher projection because I want to use the GDS library. First, I am creating a subgraph using Cypher query which works perfectly fine. Here is the query:

            ...

            ANSWER

            Answered 2022-Feb-09 at 19:23

            To access start and end node of a relationship, there is a slightly different syntax that you are using:

            Source https://stackoverflow.com/questions/71055046

            QUESTION

            Extract all the child nodes for a parent node from turtle file using SPARQL
            Asked 2022-Feb-09 at 08:27

            I have following concepts in turtle file. I would like to extract preferred label and ids for parent node (DOID_4159) and all its child from below concepts. I have written following SPARQL query to fetch the information, but it will not give all the child nodes.

            ...

            ANSWER

            Answered 2022-Feb-09 at 08:27

            here we have some issues

            • The .ttl file you posted is not correct. There is an error on the definition of the 1st entity which is missing of the . at the end. So you have to update the definition from:

            Source https://stackoverflow.com/questions/71041175

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

            Vulnerabilities

            No vulnerabilities reported

            Install tissue

            You can download it from GitHub.
            You can use tissue 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

            Tissue v0.3.4 for Blender 2.79b (latest stable release): https://github.com/alessandro-zomparelli/tissue/releases/tag/v0-3-4. Development branch (most updated version): https://github.com/alessandro-zomparelli/tissue/tree/dev1.
            Find more information at:

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