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GeezerVison is showing github.com — ClassicComputerScienceProblemsInPython/Chapter2/dna_search.py at master · sqrf/ClassicComputerScienceProblemsInPython Expand file tree/ Copy pathdna_search.pyMore file actions 69 lines (55 loc) · 2.22 KB / Copy pathdna_search.pyFile metadata and controls69 lines (55 loc) · 2.22 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 # dna_search.py # From Classic Computer Science Problems in Python Chapter 2 # Copyright 2018 David Kopec # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from enum import IntEnum from typing import Tuple, List Nucleotide: IntEnum = IntEnum('Nucleotide', ('A', 'C', 'G', 'T')) Codon = Tuple[Nucleotide, Nucleotide, Nucleotide] # type alias for codons Gene = List[Codon] # type alias for genes gene_str: str = "ACGTGGCTCTCTAACGTACGTACGTACGGGGTTTATATATACCCTAGGACTCCCTTT" def string_to_gene(s: str) -> Gene: gene: Gene = [] for i in range(0, len(s), 3): if (i + 2) >= len(s): # don't run off end! return gene # initialize codon out of three nucleotides codon: Codon = (Nucleotide[s[i]], Nucleotide[s[i + 1]], Nucleotide[s[i + 2]]) gene.append(codon) # add codon to gene return gene my_gene: Gene = string_to_gene(gene_str) def linear_contains(gene: Gene, key_codon: Codon) -> bool: for codon in gene: if codon == key_codon: return True return False acg: Codon = (Nucleotide.A, Nucleotide.C, Nucleotide.G) gat: Codon = (Nucleotide.G, Nucleotide.A, Nucleotide.T) print(linear_contains(my_gene, acg)) # True print(linear_contains(my_gene, gat)) # False def binary_contains(gene: Gene, key_codon: Codon) -> bool: low: int = 0 high: int = len(gene) - 1 while low <= high: # while there is still a search space mid: int = (low + high) // 2 if gene[mid] < key_codon: low = mid + 1 elif gene[mid] > key_codon: high = mid - 1 else: return True return False my_sorted_gene: Gene = sorted(my_gene) print(binary_contains(my_sorted_gene, acg)) # True print(binary_contains(my_sorted_gene, gat)) # False |
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