In the table below- you are given data for the country of Spruce- a- T (1).pdf
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In the table below, you are given data for the country of Spruce. a. The value of GDI (at market prices) is $ b. The value of NDI (at basic prices) is $ c. The value of (net) national income is $.
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# Replace any "" comments with your own code statement(s)
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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""" File: useGraph.py
Author: Derrf Seitz
This program exercises graphs.
The following files must be in the same folder:
abstractcollection.py
graph.py
"""
# # Replace with your name.
# Replace any "" comments with your own code statement(s)
# to accomplish the specified task.
# DO NOT CHANGE ANY OTHER CODE. from graph import LinkedDirectedGraph
# Part 1:
# Complete the following function: def topologicalSort(graph):
<your code>
# graph = LinkedDirectedGraph()
# The graph represents the following course prerequisites:
# A requires nothing
# B requires nothing
# C requires A
# D requires A, B, and C
# E requires C
# F requires B and D
# G requires E and F
# H requires C, F, and G
# Part 2:
# Add the vertices:
<your code>
# Part 3:
# Add the edges:
<your code>
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# Part 4:
# Display each vertex on a separate line:
<your code>
# print()
print("Prerequisites:")
# Part 5:
# Display each edge on a separate line:
<your code>
# print()
print("One possible order to take the courses:")
# Part 6:
# Display the courses in prerequisite (topological) order:
<your code>
# print()
"""
File: graph.py
Author: Ken Lambert, copyright 2015, 2020
Used by permission.
Adds the in, +, ==, and clone operations to support graph-specific behavior.
"""
from abstractcollection import AbstractCollection
class LinkedEdge(object):
# An edge has a source vertex, a destination vertex,
# a weight, and a mark attribute.
# Constructor
def __init__(self, fromVertex, toVertex, weight = None):
self.vertex1 = fromVertex
self.vertex2 = toVertex
self.weight = weight
self.mark = False
# Accessor methods
def __eq__(self, other):
"""Two edges are equal if they connect
the same vertices."""
if self is other:
return True
if type(self) != type(other):
return False
return self.vertex1 == other.vertex1 and \
self.vertex2 == other.vertex2
def __hash__(self): # Derrf Seitz 11/16/2020
"""Hash method for an edge."""
return hash(self.vertex1.label + self.vertex2.label)
def __str__(self):
"""Returns the string representation of the edge."""
return str(self.vertex1) + ">" + \
str(self.vertex2) + ":" + \
str(self.weight)
def getFromVertex(self): # Derrf Seitz 12/17/2015
"""Returns the edge's origin vertex."""
return self.vertex1
def getOtherVertex(self, thisVertex):
"""Returns the vertex opposite thisVertex."""
if thisVertex == None or thisVertex == self.vertex2:
return self.vertex1
else:
return self.vertex2
def getToVertex(self):
"""Returns the edge's destination vertex."""
return self.vertex2
def getWeight(self):
"""Returns the edge's weight."""
return self.weight
def isMarked(s.
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How would you represent this object in Python?.
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1.
Abduction:
1.
2.
Adduction:
1.
Internal Rotation
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External Rotation
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2.
3..
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a.
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b.
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c.
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d.
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