MB-Lab | character creation tool for Blender | Addon library

by animate1978 Python Version: 1_7_8_5 License: Non-SPDX

X-Ray Key Features Code Snippets(6)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | MB-Lab Summary

MB-Lab is a Python library typically used in Plugin, Addon applications. MB-Lab has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However MB-Lab has a Non-SPDX License. You can download it from GitHub.

MB-Lab is a community developed and supported project based off ManuelBastioniLAB. If you're interested in helping this project Financially or to see behind the scenes information of this plugin's Development, Please support our Patreon. This fork is an attempt to keep this addon going forward as the original author is no longer developing ManuelBastioniLAB.

Support

Quality

Security

License

Reuse

Support

MB-Lab has a medium active ecosystem.

It has 1573 star(s) with 283 fork(s). There are 114 watchers for this library.

It had no major release in the last 12 months.

There are 84 open issues and 164 have been closed. On average issues are closed in 55 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MB-Lab is 1_7_8_5

Quality

MB-Lab has 0 bugs and 0 code smells.

Security

MB-Lab has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MB-Lab code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MB-Lab 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

MB-Lab releases are available to install and integrate.

Build file is available. You can build the component from source.

MB-Lab saves you 8030 person hours of effort in developing the same functionality from scratch.

It has 16524 lines of code, 1169 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Draw the widget .
load updater
Update user settings .
Updates django settings
Update a character .
Create the measures file .
Check to see if we have an update
Find a bone in the knowledgebase .
Fits the near vertices for a given basis .
Start the lab session .

Get all kandi verified functions for this library.

MB-Lab Key Features

No Key Features are available at this moment for MB-Lab.

MB-Lab Examples and Code Snippets

Starting Lab

Python

Lines of Code : 42

License : No License

Copy

docker-compose run clab

➜  spauto_devnet git:(containerlab) ✗ docker-compose run clab
Creating spauto_devnet_clab_run ... done
INFO[0000] Parsing & checking topology file: spauto-mpls-sdn.yml 
INFO[0000] Creating lab directory: /src/clab-spauto-

wp-graphql-mb-relationships

PHP

Lines of Code : 31

License : Permissive (MIT)

Copy

MB_Relationships_API::register( [ 
  'id'     => 'linked_posts', 
  'from'   => array(
      'show_in_graphql' => true,
      'graphql_name' => 'goingUp',
      'graphql_args' => [
        'higher' => [
	  'type' => 'Boolean',

Pattern Lab Module,Custom Lab Controller

PHP

Lines of Code : 10

License : Strong Copyleft (GPL-2.0)

Copy

class MyPatternLab extends PatternLab {

}

---
name: routes
After: 'pattern-lab'
---
Director:
  rules:
    'patterns//$Action/$ID/$Name': 'MyPatternLab'

dgl - entity classify mb

Python

Lines of Code : 214

License : Non-SPDX (Apache License 2.0)

Copy

"""Modeling Relational Data with Graph Convolutional Networks
Paper: https://arxiv.org/abs/1703.06103
Reference Code: https://github.com/tkipf/relational-gcn
"""
import argparse
import itertools
import time

import numpy as np
import torch as th
impo

Set the size in MB

java

Lines of Code : 3

License : Permissive (MIT License)

Copy

public void setSizeInTB(DataSize sizeInTB) {
        this.sizeInTB = sizeInTB;
    }

Get data size in MB

java

Lines of Code : 3

License : Permissive (MIT License)

Copy

public DataSize getSizeInTB() {
        return sizeInTB;
    }

Community Discussions

Trending Discussions on MB-Lab

Bomb Lab Assignment Phase 5 - Writing Its C Equivalent

QUESTION

Bomb Lab Assignment Phase 5 - Writing Its C Equivalent

Asked 2020-Oct-30 at 00:45

I am trying to solve a slightly modified Bomb Lab problem for my Computer Architecture class. I'm supposed to write the C equivalent for the functions, but got stuck in Phase 5. It's very similar to this question and I have indeed figured out what the function does for the most part.

...

ANSWER

Answered 2020-Oct-29 at 21:11

Just like in Jester's answer, it's indexing an array. ecx += table[edx], for static int table[]; The EDX index is scaled by 4 in the addressing mode because sizeof(int) is 4; asm needs byte offsets, C indexing uses element offsets.

-0x2600 + %ebx is a static array, same as 0x804a4a0 in the linked question. But it's harder to find in static disassembly because whoever created this executable annoyingly compiled it as 32-bit PIE (position-independent executable).

32-bit PIC / PIE sucks because PC-relative addressing was new with x86-64, so this is needlessly more complicated to reverse engineer.

It gets the GOT (Global Offset Table) address into EBX: First call __x86.get_pc_thunk.bx returns its return address in EBX, i.e. 0x1065 with the placeholder addresses you got from objdump -d. Then add $0x3efb,%ebx adds the offset from that location to the GOT.

Then static data is addressed relative to the GOT base (in EBX in this case). Pain the ass to follow that vs. an absolute address. You could just single-step in a debugger in a running process, after the kernel's program-loader maps the code to some virtual address (other than 0x1000).

Or do it manually: 0x1065 + 0x3efb = GOT base (EBX) of 0x4f60.
0x4f60-0x2600 is the lookup table array start: 0x2960 (if you were using objdump -D to dump the data sections as well). You might be able to use that address in GDB (before start or run) with an x command to dump the table in a convenient format other than fake disassembly of data as code from objdump.

The actual address in a running process will be that plus some multiple of 4096 (0x1000).

Source https://stackoverflow.com/questions/64598896

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

Vulnerabilities

No vulnerabilities reported

Install MB-Lab

You can download it from GitHub.
You can use MB-Lab 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.