187. Repeated DNA Sequences Leetcode Python

本文介绍了一种使用哈希表在O(n)时间内查找DNA分子中重复出现的10字母长序列的方法。通过实例展示了如何利用该算法从输入字符串中找出所有重复的子串。

All DNA is composed of a series of nucleotides abbreviated as A, C, G, and T, for example: "ACGAATTCCG". When studying DNA, it is sometimes useful to identify repeated sequences within the DNA.

Write a function to find all the 10-letter-long sequences (substrings) that occur more than once in a DNA molecule.

For example,

Given s = "AAAAACCCCCAAAAACCCCCCAAAAAGGGTTT",

Return:
["AAAAACCCCC", "CCCCCAAAAA"].
this Problem can be solve with O(n) time and O(n) space with hashing

class Solution:
    # @param s, a string
    # @return a list of strings
    def findRepeatedDnaSequences(self, s):
        dict={}
        for i in range(len(s)-9):
            key=s[i:i+10]
            if key not in dict:
                dict[key]=1
            else:
                dict[key]+=1
        res=[]
        for elem in dict:
            if dict[elem]>1:
                res.append(elem)
        return res


报错如下Traceback (most recent call last): File "/home/jzuser/Work_dir/Gn/pystudy/task3_gn.py", line 111, in <module> model = UNet( File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 182, in __init__ self.model = _create_block(in_channels, out_channels, self.channels, self.strides, True) File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 170, in _create_block subblock = _create_block(c, c, channels[1:], strides[1:], False) # continue recursion down File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 170, in _create_block subblock = _create_block(c, c, channels[1:], strides[1:], False) # continue recursion down File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 170, in _create_block subblock = _create_block(c, c, channels[1:], strides[1:], False) # continue recursion down [Previous line repeated 1 more time] File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 174, in _create_block subblock = self._get_bottom_layer(c, channels[1]) File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 247, in _get_bottom_layer return self._get_down_layer(in_channels, out_channels, 1, False) File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/nets/unet.py", line 211, in _get_down_layer mod = ResidualUnit( File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/blocks/convolutions.py", line 280, in __init__ unit = Convolution( File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/blocks/convolutions.py", line 162, in __init__ ADN( File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/blocks/acti_norm.py", line 86, in __init__ op_dict["N"] = get_norm_layer(name=norm, spatial_dims=norm_dim or dropout_dim, channels=in_channels) File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/layers/utils.py", line 45, in get_norm_layer norm_name, norm_args = split_args(name) File "/home/jzuser/.local/lib/python3.10/site-packages/monai/networks/layers/factories.py", line 188, in split_args name_obj, name_args = args TypeError: cannot unpack non-iterable type object如何修改
最新发布
08-13
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