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#!/usr/bin/env bash | |
# ANSI color codes | |
GREEN='\033[0;32m' | |
NC='\033[0m' # No Color | |
RED='\033[0;31m' | |
username=$1 | |
fullname=$2 | |
password=$3 |
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$ docker pull mariadb | |
$ VOLUME=DB | |
$ docker volume create ${VOLUME} | |
$ docker run --detach \ | |
-p 3306:3306 \ | |
-v ${VOLUME}:/var/lib/mysql \ | |
--name MariaDB \ |
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from collections import defaultdict | |
def get_frequency(char_count, start, end): | |
total = sum(x for _, x in char_count.items()) | |
for value in range(start, end): | |
letter = chr(value) | |
try: | |
print(f'{letter}\t{char_count[letter]}') | |
except: |
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void insertion_sort(vector<int> &v) { | |
int n = v.size(); | |
for(int i = 1; i < n; i++) { | |
for(int j = i; j > 0; j--) { | |
if(v[j] < v[j-1]) { | |
swap(v[j], v[j-1]); | |
} else { | |
break; | |
} | |
} |
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import argparse | |
from Bio import SeqIO | |
from Bio.SeqRecord import SeqRecord | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser() | |
parser.add_argument('--id_file', required=True, | |
help='file path of ids in text format') | |
parser.add_argument('--input', required=True, |
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FROM ubuntu:latest | |
WORKDIR /app | |
COPY main.sh . |
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from random import random, seed | |
from datetime import datetime | |
seed(datetime.utcnow().microsecond) | |
def main(): | |
X = list(range(0, 25)) | |
Y = [*map(lambda x: 2.0 * x + 3, X)] |
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# Import pandas library | |
import pandas as pd | |
# initialize list of lists | |
data = [['tom', 10], ['nick', 15], ['juli', 14]] | |
# Create the pandas DataFrame | |
df = pd.DataFrame(data, columns = ['Name', 'Age']) | |
df.to_csv('filename.tsv', sep = '\t', encoding='utf-8', index=False) |
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#include <bits/stdc++.h> | |
using namespace std; | |
#define debug(x) cout<<#x<<" is "<<endl | |
using ll = long long; | |
#define x first | |
#define y second |
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