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| NEIGHBORS_MAP = { | |
| 1: (6, 8), | |
| 2: (7, 9), | |
| 3: (4, 8), | |
| 4: (3, 9, 0), | |
| 5: tuple(), # 5 has no neighbors | |
| 6: (1, 7, 0), | |
| 7: (2, 6), | |
| 8: (1, 3), | |
| 9: (2, 4), |
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| def yield_sequences(starting_position, num_hops, sequence=None): | |
| if sequence is None: | |
| sequence = [starting_position] | |
| if num_hops == 0: | |
| yield sequence | |
| return | |
| for neighbor in neighbors(starting_position): | |
| yield from yield_sequences( |
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| from neighbors import neighbors | |
| def count_sequences(start_position, num_hops): | |
| if num_hops == 0: | |
| return 1 | |
| num_sequences = 0 | |
| for position in neighbors(start_position): | |
| num_sequences += count_sequences(position, num_hops - 1) | |
| return num_sequences |
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| def count_sequences(start_position, num_hops): | |
| cache = {} | |
| def helper(position, num_hops): | |
| if (position, num_hops) in cache: | |
| return cache[ (position, num_hops) ] | |
| if num_hops == 0: | |
| return 1 |
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| def count_sequences(start_position, num_hops): | |
| prior_case = [1] * 10 | |
| current_case = [0] * 10 | |
| current_num_hops = 1 | |
| while current_num_hops <= num_hops: | |
| current_case = [0] * 10 | |
| current_num_hops += 1 | |
| for position in range(0, 10): |
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| def matrix_multiply(A, B): | |
| A_rows, A_cols = len(A), len(A[0]) | |
| B_rows, B_cols = len(B), len(B[0]) | |
| result = list(map(lambda i: [0] * B_cols, range(A_rows))) | |
| for row in range(A_rows): | |
| for col in range(B_cols): | |
| for i in range(B_rows): | |
| result[row][col] += A[row][i] * B[i][col] |
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| NEIGHBORS_MAP = { | |
| 0: (4, 6), | |
| 1: (6, 8), | |
| 2: (7, 9), | |
| 3: (4, 8), | |
| 4: (3, 9, 0), | |
| 5: tuple(), # 5 has no neighbors | |
| 6: (1, 7, 0), | |
| 7: (2, 6), | |
| 8: (1, 3), |
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| NEIGHBORS_MAP = { | |
| 0: (0, 0, 0, 0, 1, 0, 1, 0, 0, 0), | |
| 1: (0, 0, 0, 0, 0, 0, 1, 0, 1, 0), | |
| 2: (0, 0, 0, 0, 0, 0, 0, 1, 0, 1), | |
| 3: (0, 0, 0, 1, 0, 0, 0, 0, 1, 0), | |
| 4: (1, 0, 0, 1, 0, 0, 0, 0, 0, 1), | |
| 5: (0, 0, 0, 0, 0, 0, 0, 0, 0, 0), | |
| 6: (1, 1, 0, 0, 0, 0, 0, 1, 0, 0), | |
| 7: (0, 0, 1, 0, 0, 0, 1, 0, 0, 0), | |
| 8: (0, 1, 0, 1, 0, 0, 0, 0, 0 ,0), |
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| SYNONYMS = [ | |
| ('rate', 'ratings'), | |
| ('approval', 'popularity'), | |
| ] | |
| QUERIES = [ | |
| ('obama approval rate', 'obama popularity ratings'), | |
| ('obama approval rates', 'obama popularity ratings'), | |
| ('obama approval rate', 'popularity ratings obama') | |
| ] |
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| def synonym_queries(synonym_words, queries): | |
| ''' | |
| synonym_words: iterable of pairs of strings representing synonymous words | |
| queries: iterable of pairs of strings representing queries to be tested for | |
| synonymous-ness | |
| ''' | |
| output = [] | |
| for q1, q2 in queries: | |
| q1, q2 = q1.split(), q2.split() | |
| if len(q1) != len(q2): |
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