siddadel

import pandas as pd
import json

df = pd.read_csv("hierarchies.csv", header=None)

def get_hierarchy(jsonobject, value):
    
    level3 = df[df[2]==value]
    if(len(level3)==0):
        #2 level

siddadel

from datetime import datetime
def get_date(s):
     return datetime.strptime(s, '%b %d %Y %I:%M%p')
    
class A:
    def __init__(self, a):
        self.a = a
        
    def get_a(self):
        return self.a

siddadel

select ENGLISH.orig_eng_ref,  ENGLISH.title, ENGLISH.slug, HINDI.slug,
ENGLISH.first_published_at as "English Date",
HINDI.first_published_at as "Hindi Date",
MARATHI.first_published_at as "Marathi Date",
URDU.first_published_at as "Urdu Date",
BENGALI.first_published_at as "Bengali Date"

from

(select SPLIT_PART(substring(url_path, length('///categories')),'/',1) as orig_eng_ref, title, wagtailcore_page.slug, first_published_at, language, page_ptr_id from article_article, wagtailcore_page

siddadel

[
   {
      "question":"Which candlestick forms a Bullish Engulfing pattern?",
      "correct":1,
      "options":[
         {
            "id":1,
            "path":"file:///android_asset/Bullish Engulfing.png"
         },
         {

siddadel

package deep.learning.cnn;

import static java.lang.Math.toIntExact;

import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.net.URI;
import java.util.ArrayList;

siddadel

package deep.learning.cnn;

import static java.lang.Math.toIntExact;

import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.net.URI;
import java.util.ArrayList;

siddadel

 RecordReader csvRecordReader = new CSVRecordReader(0, ','); 
 csvRecordReader.initialize(new FileSplit(new File("temp.csv"))); 
 DataSetIterator csvIterator = new RecordReaderDataSetIterator(csvRecordReader, batchSize, 1, numLabels); 
 System.out.println(csvRecordReader.getLabels()); 

siddadel

List<INDArray> list = new ArrayList<>();
    	for(int i=0;i<8;i++) {
    		list.add(Nd4j.ones(10, 10, 3));
    	}
    	
    	INDArray out = Nd4j.create(list, new int[] {8,10,10,3}, 'c');
    	
    	long[] shape = out.shape();
    	for(long s: shape) {
    		System.out.println(s);

siddadel

'Error at [D:/jenkins/ws/dl4j-latest_release-windows-x86_64-cpu/libnd4j/include/ops/declarable/generic/transforms/concat.cpp:133:0]:
CONCAT op: all input arrays must have the same rank !
Exception in thread "AMDSI prefetch thread" java.lang.RuntimeException: java.lang.RuntimeException: Op validation failed
at org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator$AsyncPrefetchThread.run(AsyncMultiDataSetIterator.java:396)
Caused by: java.lang.RuntimeException: Op validation failed
at org.nd4j.nativeblas.Nd4jCpu$NativeOps.concatFloat(Native Method)'