KernelA

ERROR SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Exception when registering SparkListener
	at org.apache.spark.SparkContext.setupAndStartListenerBus(SparkContext.scala:2549)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:641)
	at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
	at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:490)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)

KernelA

\documentclass[tikz]{standalone}

\usepackage{tikz}
\usetikzlibrary{math}

\begin{document}
    \begin{tikzpicture}
        \tikzmath { \total = 6; }
        \draw [help lines] (0,0) grid (\total, \total);
        \foreach \row  in {1,2,...,\total}

KernelA

\documentclass[12pt, oneside]{extarticle}

\usepackage{polyglossia}
\setdefaultlanguage[indentfirst=true,forceheadingpunctuation=false]{russian}
\setotherlanguages{english}

\IfFontExistsTF{Times New Roman}
{\setmainfont{Times New Roman}
\newfontfamily\cyrillicfont{Times New Roman}[Script=Cyrillic]}
{\setmainfont[Script=Cyrillic]{FreeSerif}}

KernelA

\documentclass[12pt, oneside]{extarticle}

\usepackage{polyglossia}
\setdefaultlanguage[indentfirst=true,forceheadingpunctuation=false]{russian}
\setotherlanguages{english}

\IfFontExistsTF{Times New Roman}
{\setmainfont{Times New Roman}
\newfontfamily\cyrillicfont{Times New Roman}[Script=Cyrillic]}
{\setmainfont[Script=Cyrillic]{FreeSerif}}

KernelA

KernelA

   active environment : None
       user config file : /root/.condarc
 populated config files :
          conda version : 4.11.0
    conda-build version : not installed
         python version : 3.8.12.final.0
       virtual packages : __cuda=11.6=0
                          __linux=5.13.0=0
                          __glibc=2.31=0
                          __unix=0=0

KernelA

root@fe83e7c706f1:/home/ICON/apps# python infer.py -cfg ../configs/icon-filter.yaml -gpu 0 -in_dir ../examples -out_dir ../results

Using /root/.cache/torch_extensions as PyTorch extensions root...
Creating extension directory /root/.cache/torch_extensions/voxelize_cuda...
Detected CUDA files, patching ldflags
Emitting ninja build file /root/.cache/torch_extensions/voxelize_cuda/build.ninja...
Building extension module voxelize_cuda...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/3] c++ -MMD -MF voxelize_cuda.o.d -DTORCH_EXTENSION_NAME=voxelize_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.8/site-packages/torch/include -isystem /opt/conda/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.8/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.8/site-packages/

KernelA

FROM bde2020/spark-master:3.1.1-hadoop3.2

RUN apk add gcc python3-dev linux-headers libc-dev libffi-dev g++

RUN --mount=type=cache,target=/root/.cache/pip pip3 install spylon-kernel jupyterlab~=3.2

RUN python3 -m spylon_kernel install

WORKDIR /home/app

KernelA

# Git
.git
.gitignore
.gitattributes


# CI
.codeclimate.yml
.travis.yml
.taskcluster.yml

KernelA

inline void HSI2RGB(double h, double s, double i, double* r, double* g, double* b)
{
	double x = i * (1 - s);
	
	// For black, white and grayscale h is NaN. Conversion works incorrectly.
	if(std::isnan(h))
	{
	  *r = i;
	  *g = i;
	  *b = i;