Isa-rentacs

# Enable mouse scrolling
set -g mouse on
# Change prefix from C-b to C-h
unbind C-b
set-option -g prefix C-h
bind-key C-h send-prefix

# split panes using h and v
bind-key h split-window -v
bind-key v split-window -h

Isa-rentacs

import logging
import pymc4 as pm
import numpy as np
import arviz as az

import tensorflow as tf
import tensorflow_probability as tfp

print(pm.__version__)
print(tf.__version__)

Isa-rentacs

$ python ./pymc_trial.py 
2020-07-02 20:44:13.600428: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-02 20:44:13.601242: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
4.0a2
2.4.0-dev20200701
0.11.0-dev20200702
2020-07-02 20:44:20.525474: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2020-07-02 20:44:20.526310: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2020-07-02 20:44:20.527459: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (HND-1800149369): /proc/driver/nvidia/version does not exist
2020-07-02 20:44:

Isa-rentacs

#include <iostream>
#include <cstring>

using namespace std;

void print_bytes(unsigned char* ptr, unsigned char* end)
{
    while(ptr != end)
    {
        printf("%x, %02x\n", ptr, *ptr);

Isa-rentacs

#include <iostream>
#include <random>
#include <deque>
#include <algorithm>
#include <cassert>
 
using namespace std;
 
int main() {
  std::srand(42);

Isa-rentacs

#include <iostream>
#include <random>
#include <ctime>
#include <x86intrin.h>
#include "expected.h"
// Intel MKL header
#ifdef USE_MKL
#include "mkl.h"
#elif USE_OPEN_BLAS
#include "cblas.h"

Isa-rentacs

package org.deeplearning4j.examples.modelimport.keras;


import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

import java.util.Arrays;

Isa-rentacs

# your code goes here

def getSetDifference(setA, setB):
	count = {}
	setC = set()
	for element in setA:
		if(count.get(element) == None):
			count[element] = 1
		else:
			count[element] = count[element] + 1

Isa-rentacs

#include <stdio.h>
#include <stdlib.h>

void diffOfSets(char* setA, int lenA, char* setB, int lenB, char** setDiff, int* lenDiff)
{
    int *countDiff = malloc(sizeof(int) * 26);
    int *isIncludedArray = malloc(sizeof(int) * lenA);
    int includedItemCount = 0;
    
    for(int i=0;i<26;++i)

Isa-rentacs

#for(i=0;i<10;i++)
for i in range(10)

#str->int
int(str_var)

#int->str
str(int_var)

#while(getline(cin,str))