Vijayabhaskar96

import os
from pkg_resources import parse_version
import requests
from fastai2.vision.all import download_url
import hashlib
from datetime import datetime
# NOTE : You need to have dataset-metadata.json file that has the id of dataset you're updating
# For example: {"id": "vijayabhaskar96/fastai2-wheels"}
# Visit https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata for more details
kaggle_data={"username":"","key":""}

Vijayabhaskar96

Vijayabhaskar96

In your local clone of your forked repository, you can add the original GitHub repository as a "remote". ("Remotes" are like nicknames for the URLs of repositories - origin is one, for example.) Then you can fetch all the branches from that upstream repository, and rebase your work to continue working on the upstream version. In terms of commands that might look like:

Add the remote, call it "upstream":

git remote add upstream https://github.com/whoever/whatever.git

Fetch all the branches of that remote into remote-tracking branches, such as upstream/master:

git fetch upstream

Vijayabhaskar96

5.1,3.5,1.4,0.2,Iris-setosa
4.9,3.0,1.4,0.2,Iris-setosa
4.7,3.2,1.3,0.2,Iris-setosa
4.6,3.1,1.5,0.2,Iris-setosa
5.0,3.6,1.4,0.2,Iris-setosa
5.4,3.9,1.7,0.4,Iris-setosa
4.6,3.4,1.4,0.3,Iris-setosa
5.0,3.4,1.5,0.2,Iris-setosa
4.4,2.9,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa

Vijayabhaskar96

a1=(map(int,raw_input("Enter values of set a1 seperated by blankspaces").strip().split()))
a2=(map(int,raw_input("Enter values of set a2 seperated by blankspaces").strip().split()))
#I didnt use sets because a1,a2 may have repetitive values
count=0
for value in a1:
    if value in a2:
        count+=1
if count==len(a1):
    print "a1 is subset of a2"
else:

Vijayabhaskar96

sdflkjsdkofhiosetjawgijtouweoptgiksdopugio