Createdd

#!/bin/sh

echo "$branchName"
if [ "$branchName" = "master" ]; then
    exit 0
fi

if [[ "$branchName" =~ ^[a-z]+[\/]+[A-Z]+[\-]+[0-9]+[\_]+[a-zA-Z] ]]; then
    echo "Good branch name!"
    exit 0

Createdd

#!/bin/sh

echo "Running pre-push hook"
./exampleScrit.sh

# $? stores exit value of the last command
if [ $? -ne 0 ]; then
 echo "Tests must pass before commit!"
 exit 1
fi

Createdd

#!/usr/bin/env node

const fs = require( 'fs' );
const commit = process.argv[2];

const data = fs.readFileSync( commit, { encoding: 'utf8' } );
const [ firstLine ] = data.split( '\n' );
const result = /^[A-Z]+\-\d+ .+$/.test( firstLine );
const errorMessage = `
-----------------------------------------------------

Createdd

#!/bin/sh

# list of hooks the script will look for
HOOK_NAMES="applypatch-msg pre-applypatch post-applypatch pre-commit prepare-commit-msg commit-msg post-commit pre-push pre-rebase post-checkout post-merge pre-receive update post-receive post-update pre-auto-gc"

# relative folder path of the .git hook / current script
GIT_HOOK_DIR=./.git/hooks
# relative folder path of the custom hooks to deploy / current script
LOCAL_HOOK_DIR=./scripts/git
# relative folder path of the custom hooks to deploy / .git hook folder

Createdd

def test_addtion_int():
    assert calculate_result(2, 3, 'int', "addition") == 5

def test_addtion_float():
    assert calculate_result(2.1, 3.5, 'float', "addition") == 5.6

def test_subtraction_int():
    assert calculate_result(4, 3, 'int', "subtraction") == 1

def test_subtraction_float():

Createdd

import numpy as np

one_dim = np.ones(shape=(5), dtype=np.int)

# print(one_dim)
# [1 1 1 1 1]

two_dim = np.ones(shape=(5, 2), dtype=np.int)

# print(two_dim)

Createdd

Createdd

import os
import glob
import shutil
import typing
import numpy as np
from PIL import Image, ImageStat, ImageChops
from pathlib import Path


def pre_processsing(input_dir: str, output_dir: str, logfile: str) -> int:

Createdd

@app.route('/predict',methods=['POST'])
def predict():
    input_val = [x for x in request.form.values()][0]
    rf = load_model(BUCKET_NAME, MODEL_FILE_NAME, MODEL_LOCAL_PATH)
    if input_val not in available_countries:
        return f'Country {input_val} is not in available list. Try one from the list! Go back in your browser', 400
    to_pred = get_prediction_params(input_val, url_to_covid)
    prediction = rf.predict(to_pred)[0]
    return render_template('home.html',pred=f'New cases will be {prediction}')

Createdd

def pre_process(df):
    cols_too_many_missing = ['new_tests',
                             'new_tests_per_thousand',
                             'total_tests_per_thousand',
                             'total_tests',
                             'tests_per_case',
                             'positive_rate',
                             'new_tests_smoothed',
                             'new_tests_smoothed_per_thousand',
                             'tests_units',