Chih-Yu Yeh cyyeh

Leet Code Sharing

682. Baseball Game
- 葉致煜
  - Runtime: 40 ms, faster than 52.00% of Python3 online submissions for Baseball Game
Memory Usage: 12.9 MB, less than 5.15% of Python3 online submissions for Baseball Game.

Notes: you need to have the Refactoring: Web Edition account in order to see details of Refactoring Strategies

Assuming that the tools are widely used, mature, and employed in various technology stacks, there is little reason to doubt the quality. Of course, if the tool is an early release, or used by only a few people worldwide, or a piece of seldom downloaded, version 0.1, open source software, there may be good reason to suspect the software. (Equally, an alpha version of commercial software might be suspect.)
All the usual debugging advice applies, so isolate the problem, stub out calls, and surround it with tests; check calling conventions, shared libraries, and version numbers; explain it to someone else; look out for stack corrup- tion and variable type mismatches; and try the code on different machines and different build configurations, such as debug and release.
Question your own assumptions and the assumptions of others.
Multithreaded problems are another source of bugs that turn hair gray and induce screaming

	/*
	Referenced from Stanford CS193p

	#: important
	##: very important

	Initialization
	- Setting Initial Values for Stored Properties
	- ##Customizing Initialization
	- Default Initializers

	/*
	Referenced from Stanford CS193p

	#: important
	##: very important

	Enumerations
	- Enumeration Syntax
	- Matching Enumeration Values with a Switch Statement
	- #Associated Values

	/*
	Referenced from Stanford CS193p

	#: important
	##: very important

	##Protocols
	- Protocol Syntax
	- Property Requirements
	- Method Requirements

	import numpy as np
	from matplotlib import pyplot as plt

	# helper function to check if (x, y) is in red section
	# x and y may be a single point or a numpy array
	def is_in_quarter_section(x, y):
	return xx + yy <= 1

	def approximate_pi(sample_size=10000):
	# initialization

	class Twitter:

	def __init__(self):
	"""
	Initialize your data structure here.
	"""
	self.tweets = []
	self.following_dict = {}
	self.followed_dict = {}