Jovi jovianlin

## LeetCode_FindFirstAndLastPositionElementSortedArray.py
class Solution:
    def searchRange(self, nums, target):
        """
        :type nums: List[int]
        :type target: int
        :rtype: List[int]
        """
        def searchOccurrence(nums, target, isFirst):
            N = len(nums)
            if N == 1:

## LeetCode_SearchRotatedSortedArray.py
class Solution(object):
    def search(self, nums, target):
        """
        :type nums: List[int]
        :type target: int
        :rtype: int
        """
        start, end = 0, len(nums)-1
        while start <= end:
            mid = (start+end)//2

## LeetCode_MaxSlidingWindow.py
class Solution:
    def maxSlidingWindow(self, nums, k):
        """
        :type nums: List[int]
        :type k: int
        :rtype: List[int]
        """

        output = []


## LeetCode_LongestAbsoluteFilePath.py
class Solution:
    def lengthLongestPath(self, input):
        """
        :type input: str
        :rtype: int
        """

        def is_dir(val):
            return False if '.' in val else True

## eng-fra.txt
Go.	Va !
Run!	Cours !
Run!	Courez !
Wow!	Ça alors !
Fire!	Au feu !
Help!	À l'aide !
Jump.	Saute.
Stop!	Ça suffit !
Stop!	Stop !
Stop!	Arrête-toi !

## dockerfile
# reference: https://hub.docker.com/_/ubuntu/
FROM ubuntu:16.04

# Adds metadata to the image as a key value pair example LABEL version="1.0"
LABEL maintainer="Hamel Husain <youremail@gmail.com>"

# Set environment variables
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates \

## load_glove_embeddings.py
# coding: utf-8

import numpy as np


def load_glove_embeddings(fp, embedding_dim, include_empty_char=True):
    """
    Loads pre-trained word embeddings (GloVe embeddings)
        Inputs: - fp: filepath of pre-trained glove embeddings
                - embedding_dim: dimension of each vector embedding

## du.sh
sudo du -h --max-depth=1 /home

## sg_location_data_demo.html
<!DOCTYPE html>
<head>
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css" />
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" />

## SVY21.py
#! /usr/bin/python

import math

class SVY21:
    # Ref: http://www.linz.govt.nz/geodetic/conversion-coordinates/projection-conversions/transverse-mercator-preliminary-computations/index.aspx

    # WGS84 Datum
    a = 6378137
    f = 1 / 298.257223563
	class Solution:
	def searchRange(self, nums, target):
	"""
	:type nums: List[int]
	:type target: int
	:rtype: List[int]
	"""
	def searchOccurrence(nums, target, isFirst):
	N = len(nums)
	if N == 1:
	class Solution(object):
	def search(self, nums, target):
	"""
	:type nums: List[int]
	:type target: int
	:rtype: int
	"""
	start, end = 0, len(nums)-1
	while start <= end:
	mid = (start+end)//2
	class Solution:
	def maxSlidingWindow(self, nums, k):
	"""
	:type nums: List[int]
	:type k: int
	:rtype: List[int]
	"""

	output = []
	class Solution:
	def lengthLongestPath(self, input):
	"""
	:type input: str
	:rtype: int
	"""

	def is_dir(val):
	return False if '.' in val else True
	Go. Va !
	Run! Cours !
	Run! Courez !
	Wow! Ça alors !
	Fire! Au feu !
	Help! À l'aide !
	Jump. Saute.
	Stop! Ça suffit !
	Stop! Stop !
	Stop! Arrête-toi !
	# reference: https://hub.docker.com/_/ubuntu/
	FROM ubuntu:16.04

	# Adds metadata to the image as a key value pair example LABEL version="1.0"
	LABEL maintainer="Hamel Husain <youremail@gmail.com>"

	# Set environment variables
	ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

	RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates \
	# coding: utf-8

	import numpy as np


	def load_glove_embeddings(fp, embedding_dim, include_empty_char=True):
	"""
	Loads pre-trained word embeddings (GloVe embeddings)
	Inputs: - fp: filepath of pre-trained glove embeddings
	- embedding_dim: dimension of each vector embedding
	<!DOCTYPE html>
	<head>
	<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
	<script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
	<script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
	<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
	<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css" />
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" />
	#! /usr/bin/python

	import math

	class SVY21:
	# Ref: http://www.linz.govt.nz/geodetic/conversion-coordinates/projection-conversions/transverse-mercator-preliminary-computations/index.aspx

	# WGS84 Datum
	a = 6378137
	f = 1 / 298.257223563