Checkpoint B In this checkpoint, we simulate groups of individuals playing the lottery. The final goal will be simulating two groups (a high-income group and a low-income group) and the movement of wealth across these. For example, we might represent one group of 5 individuals and their wealth by the list [2,3,4,5,6]. If this population plays (and loses) the lottery 2 times: • It could become [0,3,4,5,6], if the first individual played twice • Or it could become [2,3,4,4,5], if the last two individuals each played once • etc Continuing the example, scholarships might then award a total of $3 of awards to the population in the form of $1 scholarships. If the wealth had originally been [0,3,4,5,6], then: It could become[3,3,4,5,6], if the 1st individual got all three awards • Or it could become [0,4,5,5,7], if it was distributed equally among the 2nd, 3rd, and 5th individuals • etc We assume the lottery system is backed by a relatively huge pool of capital, so that scholarships are awarded no matter how many lottery winners there are. We also assume who plays the lottery and who benefits from scholarships will be random, at the individual-level. Later, at the population-level, we will select behaviors for our simulation based on social science research. The function generate_disparity_msg() returns a string summarizing the distribution of wealth. Here are examples of that analysis: highIncomeList lowIncomeList [2,3,4,5,6] [5, 6, 10, 14] [6,5,4,3,2] High income: 70% of wealth [1, 5, 7, 2] Low income: 30% of wealth [4, 10, 2, 5, 8] [2, 7] Wealth Distribution High income: 50% of wealth Low income: 50% of wealth msg = f"Decade (decade): High income group " +\ High income: 76% of wealth Low income: 24% of wealth Implementation Strategy Implement each function from the template following the description in their docstring: • sim_lottery() • award_scholarship () • generate_disparity_msg() For the messages returned by generate_disparity_msg(), adapt this fstring for your code: f"has (highIncome Percent:.0f) of the community's wealth. "+\ f"Low income group has {lowIncome Percent:.0f} * "+\ f" of the community's wealth."

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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1 def sim_lottery (incomeList, numPlays):
7684SAWNP
2
3
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9
10
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12
13
14
15
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4567890
3456
23
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25
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27
28
N N N M m m m m m m m m
235ENTECO
29
30
31
32
33
34
35
37
38
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40
4p = 42 45 44 45 45 47 48 45 58
41
43
36 def generate_disparity_msg(highIncomeList, lowIncomeList, decade):
"""Generates a string that describes the percentages of wealth
possessed by the higher income half and lower income half for any
given year.
46
49
"""Uses play_lottery_once() to simulate the lottery for some list of
indivudals from an income group. Within that group, the total
number of lottery plays are numPlays (of course, some individuals
might play multiple times). For each lottery ticket, the simulation
picks a random individual from the incomeList and adds the game
reward to that individual's wealth.
50
Parameters:
incomeList (list): wealth values for the given income group
numPlayers (int): the number of players who will play the lottery
Returns: None
for i in range (numPlays):
# YOUR CODE HERE
pass
def award scholarship(incomeList,
awardTotal):
"""Redistributes funds from the lottery in the form of a scholarship.
Select a random recipient from the income group list. Each recipient
receives $1 added to their indivual wealth.
Parameters:
incomeList (list): indivual wealth values for the income group
awardTotal (int): total amount of lottery funds to be rewarded
to members of this income group
Returns: None
for i in range (awardTotal):
# YOUR CODE HERE
pass
Parameters:
high IncomeList (list): list of weath of individuals
lowIncome List (list): list of weath of individuals
decade (int): a number indicating the decade
Returns:
str: The string with a message about the wealth disparity
pass
Transcribed Image Text:1 def sim_lottery (incomeList, numPlays): 7684SAWNP 2 3 5 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4567890 3456 23 24 25 26 27 28 N N N M m m m m m m m m 235ENTECO 29 30 31 32 33 34 35 37 38 39 40 4p = 42 45 44 45 45 47 48 45 58 41 43 36 def generate_disparity_msg(highIncomeList, lowIncomeList, decade): """Generates a string that describes the percentages of wealth possessed by the higher income half and lower income half for any given year. 46 49 """Uses play_lottery_once() to simulate the lottery for some list of indivudals from an income group. Within that group, the total number of lottery plays are numPlays (of course, some individuals might play multiple times). For each lottery ticket, the simulation picks a random individual from the incomeList and adds the game reward to that individual's wealth. 50 Parameters: incomeList (list): wealth values for the given income group numPlayers (int): the number of players who will play the lottery Returns: None for i in range (numPlays): # YOUR CODE HERE pass def award scholarship(incomeList, awardTotal): """Redistributes funds from the lottery in the form of a scholarship. Select a random recipient from the income group list. Each recipient receives $1 added to their indivual wealth. Parameters: incomeList (list): indivual wealth values for the income group awardTotal (int): total amount of lottery funds to be rewarded to members of this income group Returns: None for i in range (awardTotal): # YOUR CODE HERE pass Parameters: high IncomeList (list): list of weath of individuals lowIncome List (list): list of weath of individuals decade (int): a number indicating the decade Returns: str: The string with a message about the wealth disparity pass
Checkpoint B
In this checkpoint, we simulate groups of individuals playing the lottery. The final goal will be simulating two groups (a high-income group
and a low-income group) and the movement of wealth across these.
For example, we might represent one group of 5 individuals and their wealth by the list [2,3,4,5,6].
If this population plays (and loses) the lottery 2 times:
It could become [0,3,4,5,6], if the first individual played twice
Or it could become [2,3,4,4,5], if the last two individuals each played once
etc
Continuing the example, scholarships might then award a total of $3 of awards to the population in the form of $1 scholarships. If the
wealth had originally been [0,3,4,5,6], then:
It could become[3,3,4,5,6], if the 1st individual got all three awards
Or it could become [0,4,5,5,7], if it was distributed equally among the 2nd, 3rd, and 5th individuals
etc
We assume the lottery system is backed by a relatively huge pool of capital, so that scholarships are awarded no matter how many lottery
winners there are. We also assume who plays the lottery and who benefits from scholarships will be random, at the individual-level. Later, at
the population-level, we will select behaviors for our simulation based on social science research.
The function generate_disparity_msg() returns a string summarizing the distribution of wealth. Here are examples of that analysis:
highIncomeList
[2,3,4,5,6]
[5, 6, 10, 14]
msg=f"Decade
lowIncome List
[6,5,4,3,2]
[1, 5, 7, 2]
[4, 10, 2, 5, 8] [2, 7]
Wealth Distribution
High income: 50% of wealth
Low income: 50% of wealth
High income: 70% of wealth
Low income: 30% of wealth
High income: 76% of wealth
Low income: 24% of wealth
Implementation Strategy
Implement each function from the template following the description in their docstring:
sim_lottery()
• award_scholarship()
generate_disparity_msg()
For the messages returned by generate_disparity_msg(), adapt this fstring for your code:
High income group "+\
f"has {highIncome Percent:.0f) of the community's wealth. "+\
f"Low income group has {lowIncome Percent:.0f} "+\
f"of the community's wealth."
Again, by default, this project does not generate any interesting printed output. So, you should use one of these strategies in your work:
Use Python Tutor to do incremental development, focusing on one function at a time in isolation
Invent some of your own intermediate output, to get feedback while in develop mode
Submit your work to get feedback from unit tests
Transcribed Image Text:Checkpoint B In this checkpoint, we simulate groups of individuals playing the lottery. The final goal will be simulating two groups (a high-income group and a low-income group) and the movement of wealth across these. For example, we might represent one group of 5 individuals and their wealth by the list [2,3,4,5,6]. If this population plays (and loses) the lottery 2 times: It could become [0,3,4,5,6], if the first individual played twice Or it could become [2,3,4,4,5], if the last two individuals each played once etc Continuing the example, scholarships might then award a total of $3 of awards to the population in the form of $1 scholarships. If the wealth had originally been [0,3,4,5,6], then: It could become[3,3,4,5,6], if the 1st individual got all three awards Or it could become [0,4,5,5,7], if it was distributed equally among the 2nd, 3rd, and 5th individuals etc We assume the lottery system is backed by a relatively huge pool of capital, so that scholarships are awarded no matter how many lottery winners there are. We also assume who plays the lottery and who benefits from scholarships will be random, at the individual-level. Later, at the population-level, we will select behaviors for our simulation based on social science research. The function generate_disparity_msg() returns a string summarizing the distribution of wealth. Here are examples of that analysis: highIncomeList [2,3,4,5,6] [5, 6, 10, 14] msg=f"Decade lowIncome List [6,5,4,3,2] [1, 5, 7, 2] [4, 10, 2, 5, 8] [2, 7] Wealth Distribution High income: 50% of wealth Low income: 50% of wealth High income: 70% of wealth Low income: 30% of wealth High income: 76% of wealth Low income: 24% of wealth Implementation Strategy Implement each function from the template following the description in their docstring: sim_lottery() • award_scholarship() generate_disparity_msg() For the messages returned by generate_disparity_msg(), adapt this fstring for your code: High income group "+\ f"has {highIncome Percent:.0f) of the community's wealth. "+\ f"Low income group has {lowIncome Percent:.0f} "+\ f"of the community's wealth." Again, by default, this project does not generate any interesting printed output. So, you should use one of these strategies in your work: Use Python Tutor to do incremental development, focusing on one function at a time in isolation Invent some of your own intermediate output, to get feedback while in develop mode Submit your work to get feedback from unit tests
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