''' Purpose: better experience functional development
Email id:
Email id:
Pledge: All effort for this assignment has been done as team and when both
the driver and navigator are present and working together
'''
# necessary import
import math # pi assistance
def beans( a, b, v ) :
''' Function beans( a, b, v ): returns an estimate of number of
beans in a jelly bear jar of volume v, where the beans are
on average a in length and b in height.
Driver:
Navigator:
'''
pass
# --------------------------------------------------------------------
def manhattan_distance( a1, s1, a2, s2 ) :
''' Function manhattan_distance( a1, s1, a2, s2 ): returns the
approximate distance in miles between a person at the corner
avenue a1 and street s1 in Manhattan and a person at the
corner of avenue a2 and street s2 also in Manhattan.
Driver:
Navigator:
'''
pass
# --------------------------------------------------------------------
def relate( x, y ) :
''' Function relate( x, y ): returns 'comes before', 'is equal to',
or 'comes after', depending on the alphabetical relationship
between strings x and y .
Driver:
Navigator:
'''
pass
# --------------------------------------------------------------------
def youngest( y ) :
''' Function youngest( y ): returns the youngest acceptable integer age for
a y-year old to date; i.e., the age must be at least seven years
older than half of a y-year old
Driver:
Navigator:
'''
pass
# --------------------------------------------------------------------
def is_dateable( y1, y2 ) :
''' Function is_dateable( y1, y2 ): returns True or False whether
a y2-year old is an acceptably-aged date for a y1-year old.
Driver:
Navigator:
'''
pass
# --------------------------------------------------------------------
def mutually_dateable( y1, y2 ) :
''' Function mutually_dateable( y1, y2 ): returns True or False
whether both a y2-year old is an acceptably-aged date
for a y1-year old and vice-versa.
Driver:
Navigator:
'''
pass
# --------------------------------------------------------------------
def check_out( dataset, v ) :
''' Function check_out( dataset, v ): returns a list whose elements
are the number of occurences of v for the corresponding row of
the dataset
Driver:
Navigator:
'''
pass