d4d8397e5f
Adds some of the code I generated while studying for a role transfer at Google using the fantastic resource, InterviewCake.com. This work predates the mono-repo. I should think of ways to DRY up this code and the code in crack_the_coding_interview, but I'm afraid I'm creating unnecessary work for myself that way.
110 lines
2.2 KiB
Python
110 lines
2.2 KiB
Python
# Using this module to store commonly used, but annoying to create, data
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# structures for my test inputs.
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#
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# Use like:
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# from fixtures import graph_a
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################################################################################
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# Constants
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################################################################################
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edge_list = [
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('a', 'b'),
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('a', 'c'),
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('a', 'e'),
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('b', 'c'),
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('b', 'd'),
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('c', 'e'),
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('d', 'f'),
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('e', 'd'),
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('e', 'f'),
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]
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unweighted_graph = {
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'a': {'b', 'c', 'e'},
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'b': {'c', 'd'},
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'c': {'e'},
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'd': {'f'},
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'e': {'d', 'f'},
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'f': set(),
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}
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adjacencies = {
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'a': {
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'a': False,
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'b': False
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},
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'a': [],
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'a': [],
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'a': [],
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'a': [],
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'a': [],
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'a': [],
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}
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weighted_graph = {
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'a': {(4, 'b'), (2, 'c'), (4, 'e')},
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'b': {(5, 'c'), (10, 'd')},
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'c': {(3, 'e')},
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'd': {(11, 'f')},
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'e': {(4, 'd'), (5, 'f')},
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'f': set(),
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}
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# This is `weighted_graph` with each of its weighted edges "expanded".
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expanded_weights_graph = {
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'a': ['b-1', 'c-1', 'e-1'],
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'b-1': ['b-2'],
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'b-2': ['b-3'],
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'b-3': ['b'],
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'c-1': ['c'],
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'e-1': ['e-2'],
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'e-2': ['e-3'],
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'e-3': ['e'],
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# and so on...
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}
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unweighted_digraph = {
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'5': {'2', '0'},
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'4': {'0', '1'},
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'3': {'1'},
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'2': {'3'},
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'1': set(),
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'0': set(),
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}
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################################################################################
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# Functions
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################################################################################
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def vertices(xs):
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result = set()
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for a, b in xs:
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result.add(a)
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result.add(b)
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return result
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def edges_to_neighbors(xs):
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result = {v: set() for v in vertices(xs)}
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for a, b in xs:
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result[a].add(b)
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return result
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def neighbors_to_edges(xs):
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result = []
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for k, ys in xs.items():
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for y in ys:
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result.append((k, y))
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return result
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def edges_to_adjacencies(xs):
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return xs
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# Skipping handling adjacencies because I cannot think of a reasonable use-case
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# for it when the vertex labels are items other than integers. I can think of
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# ways of handling this, but none excite me.
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