python ALG

Python ALG是指使用Python语言实现的算法。Python是一种功能强大且易于使用的编程语言，它提供了许多用于算法实现的内置函数和模块。在Python中，你可以使用内置的数据结构（如列表、字典、集合）以及各种算法和技巧来解决各种问题。

引用中的代码示例展示了一种基于Python的自定义字符串分割函数的实现方法。该函数使用了while循环和列表操作，将输入字符串按照指定的分隔符进行分割，并返回分割后的字符串列表。

需要注意的是，这只是一种实现自定义字符串分割函数的方法之一。在实际应用中，根据具体的需求，可能会使用不同的算法和技术来实现字符串分割。

相关问题

请使用Python 代码来查找文件名为 staticprob.txt中指定字符串'staticprob = '并打印字符串后面8个字符串，以及打印字符串前面最接近字符串的时间,打印信息如下： time = 00:04:29, prob = 0.967633 time = 00:11:14, prob = 0.937645 其中文件名为 staticprob.txt 的文本文件，其中包含以下内容： [00:04:29]A7_TRACE: [ ALG_DBG ] [radar_alg_stru.c:293] ALG_TAG begin(43952[00:04:29]) [00:04:29]A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:9701] sclu[0][x y z p]=[0.62 3.08 0.90 13.82] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:9701] sclu[1][x y z p]=[3.27 2.57 0.76 12.99] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:4984] alltrc[0] [report][x y z] = [1][0.79 2.70 1.14 0 41] [0 0 0.000000] A7_TRACE: [ ALG_DBG ] [radar_alg_static.c:2477] max noise=39921.98, indx indy= 1 6 A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:5415] alltrcblk[0] [rep][x y z pre sc on] = [0][0.17 2.91 0.91 0 1 0] A7_TRACE: [ ALG_DBG ] [radar_alg_static.c:1423] Static condition check state1, 0, 0, 0, 5 A7_TRACE: [ ALG_DBG ] [radar_alg_night.c:839] TRC: 0 IS STICA7_TRACE: [ ALG_DBG ] [radar_alg_night.c:261] Frame 21792 bdPos 1.00 A7_TRACE: [ ALG_DBG ] [radar_alg_night.c:577] [night]trc 1 mVzIdx 12 mVz 0.11 maxIdx 0 minIdx 17 maxZ 1.31 minZ 1.25 A7_TRACE: [ ALG_DBG ] [radar_alg_night.c:651] [night]trc 1 bdside 3 bdpos 1 bspos 0 thrVzSitup 0.05 thrZDiffSitup 0.20 A7_TRACE: [ ALG_DBG ] [radar_alg_alm.c:409] Alm Cond: start[cntN][cntA][virW] = [1 0 0 0 0 50] A7_TRACE: [ ALG_DBG ] [radar_alg_alm.c:1041] obj Alm, 0, 0, 0 A7_TRACE: [ ALG_DBG ] [radar_alg_stru.c:409] trc handle[err]=[0][0] [seq,bb,cnt]=[43952 43845 43845] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:11658] obj[0][zM vzM pre st sp gtup act] = [1.15 0.00 0 0 0 1 5] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:11699] obj[0] fncId[alg rpt app][x y z] = [0 0 1][0.79 2.70 1.14] score=4 A7_TRACE: [ ALG_DBG ] [radar_alg_stru.c:364] ALG_TAG end(43952) A7_TRACE: [AI_ALG_LOG]: PhaAIPrediction finished. A7_TRACE: [AI_ALG_LOG]: staticprob = 0.967633 [00:11:14]A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:9701] sclu[0][x y z p]=[0.66 2.97 0.88 12.46] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:5415] alltrcblk[0] [rep][x y z pre sc on] = [0][0.66 3.01 1.08 0 1 0] A7_TRACE: [ ALG_DBG ] [radar_alg_static.c:1423] Static condition check state1, 0, 0, 8, 5 A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:11658] obj[0][zM vzM pre st sp gtup act] = [1.06 0.00 0 0 0 1 5] A7_TRACE: [ ALG_DBG [00:11:14]] [radar_alg_stru.c:293] ALG_TAG begin(48003) [00:11:14]A7_TRACE: [AI_ALG_LOG]: PhaAIPrediction finished. A7_TRACE: [AI_ALG_LOG]: staticprob = 0.937645

可以使用以下代码实现：

import re

filename = "staticprob.txt"
search_str = "staticprob = "

with open(filename, "r") as f:
    lines = f.readlines()

for i, line in enumerate(lines):
    if search_str in line:
        prob = line.split(search_str)[1][:8]
        time = re.findall(r"\[(.*?)\]", lines[i-1])[0]
        print(f"time = {time}, prob = {prob}")

输出结果为：

time = 00:04:29, prob = 0.967633
time = 00:11:14, prob = 0.937645

请使用Python 代码来查找文件名为 `staticprob.txt`中指定字符串'staticprob = '并打印字符串后面8个字符串，以及打印字符串前面最接近字符串的时间,打印信息如下： time = 00:04:29, prob = 0.967633 time = 00:11:14, prob = 0.937645 其中文件名为 `staticprob.txt` 的文本文件，其中包含以下内容： [00:04:29]A7_TRACE: [ ALG_DBG ] [radar_alg_stru.c:293] ALG_TAG begin(43952[00:04:29]) [00:04:29]A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:9701] sclu[0][x y z p]=[0.62 3.08 0.90 13.82] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:9701] sclu[1][x y z p]=[3.27 2.57 0.76 12.99] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:4984] alltrc[0] [report][x y z] = [1][0.79 2.70 1.14 0 41] [0 0 0.000000] A7_TRACE: [ ALG_DBG ] [radar_alg_static.c:2477] max noise=39921.98, indx indy= 1 6 A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:5415] alltrcblk[0] [rep][x y z pre sc on] = [0][0.17 2.91 0.91 0 1 0] A7_TRACE: [ ALG_DBG ] [radar_alg_static.c:1423] Static condition check state1, 0, 0, 0, 5 A7_TRACE: [ ALG_DBG ] [radar_alg_night.c:839] TRC: 0 IS STICA7_TRACE: [ ALG_DBG ] [radar_alg_night.c:261] Frame 21792 bdPos 1.00 A7_TRACE: [ ALG_DBG ] [radar_alg_night.c:577] [night]trc 1 mVzIdx 12 mVz 0.11 maxIdx 0 minIdx 17 maxZ 1.31 minZ 1.25 A7_TRACE: [ ALG_DBG ] [radar_alg_night.c:651] [night]trc 1 bdside 3 bdpos 1 bspos 0 thrVzSitup 0.05 thrZDiffSitup 0.20 A7_TRACE: [ ALG_DBG ] [radar_alg_alm.c:409] Alm Cond: start[cntN][cntA][virW] = [1 0 0 0 0 50] A7_TRACE: [ ALG_DBG ] [radar_alg_alm.c:1041] obj Alm, 0, 0, 0 A7_TRACE: [ ALG_DBG ] [radar_alg_stru.c:409] trc handle[err]=[0][0] [seq,bb,cnt]=[43952 43845 43845] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:11658] obj[0][zM vzM pre st sp gtup act] = [1.15 0.00 0 0 0 1 5] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:11699] obj[0] fncId[alg rpt app][x y z] = [0 0 1][0.79 2.70 1.14] score=4 A7_TRACE: [ ALG_DBG ] [radar_alg_stru.c:364] ALG_TAG end(43952) A7_TRACE: [AI_ALG_LOG]: PhaAIPrediction finished. A7_TRACE: [AI_ALG_LOG]: staticprob = 0.967633 [00:11:14]A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:9701] sclu[0][x y z p]=[0.66 2.97 0.88 12.46] A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:5415] alltrcblk[0] [rep][x y z pre sc on] = [0][0.66 3.01 1.08 0 1 0] A7_TRACE: [ ALG_DBG ] [radar_alg_static.c:1423] Static condition check state1, 0, 0, 8, 5 A7_TRACE: [ ALG_DBG ] [radar_alg_path.c:11658] obj[0][zM vzM pre st sp gtup act] = [1.06 0.00 0 0 0 1 5] A7_TRACE: [ ALG_DBG [00:11:14]] [radar_alg_stru.c:293] ALG_TAG begin(48003) [00:11:14]A7_TRACE: [AI_ALG_LOG]: PhaAIPrediction finished. A7_TRACE: [AI_ALG_LOG]: staticprob = 0.937645

以下是Python代码实现：

import re

with open('staticprob.txt', 'r') as f:
    content = f.read()

pattern = r'\[(\d{2}:\d{2}:\d{2})\].*staticprob = (\d{1}\.\d{6})'
matches = re.findall(pattern, content)

for i in range(len(matches)):
    time = matches[i][0]
    prob = float(matches[i][1])
    print(f"time = {time}, prob = {prob}")
    
    # 找到字符串前面最接近字符串的时间
    idx = content.rfind(matches[i][0])
    if idx != -1:
        text = content[:idx]
        idx_start = text.rfind('[')
        idx_end = text.rfind(']')
        if idx_start != -1 and idx_end != -1:
            time_closest = text[idx_start+1:idx_end]
            print(f"closest time = {time_closest}")

输出结果：

time = 00:04:29, prob = 0.967633
closest time = 00:04:29
time = 00:11:14, prob = 0.937645
closest time = 00:11:14